diff --git a/inputs/tsv/acquisition.tsv b/inputs/tsv/acquisition.tsv index d5413aa..c4873f3 100644 --- a/inputs/tsv/acquisition.tsv +++ b/inputs/tsv/acquisition.tsv @@ -2,30 +2,36 @@ sub_section preamble question unit details field_type choices item_pref_label vi Acquisition software In this section you will descibe acquisition set-up, which software you have used, impedance upper treschold, what type of online reference, recording channels, VEOG and HEOG and online filters. NOTE: If you notice a bug, or have a suggestion, we'd be grateful if you posted an issue on GitHub: https://github.com/INCF/artem-is/ What software did you use for the acquisition? select preset:meeg_acquisition_softwares acquisition_software 1 1 1 1 Acquisition 4 SoftwareVersions *_eeg.json Acquisition software Specify software version if applicable, and software name and version if "other" was selected. text acquisition_software_details 1 2 1 1 Acquisition 4 SoftwareVersions *_eeg.json Data quality Did you document impedances, or an alternative data aquisition quality measure? radio preset:boolean acquisition_quality_measure_exists 1 3 1 1 Acquisition 4 -Data quality What is the appropriate acquisition data quality measure for your recording equipment? radio impedance upper threshold | impedance range | a data quality measure alternative to impedances acquisition_quality_measure acquisition_quality_measure_exists == 1 4 1 1 Acquisition 4 status *_channels.tsv -Data quality What was the upper threshold of impedance that you registered in your study? kilo-ohms integer impedance_threshold acquisition_quality_measure == 0 5 1 1 Acquisition 4 -Data quality What was the lowest impedance you registered in this study? kilo-ohms integer impedance_lower_end acquisition_quality_measure == 1 6 1 1 Acquisition 4 -Data quality What was the highest impedance you registered in this study? kilo-ohms integer impedance_higher_end acquisition_quality_measure == 1 7 1 1 Acquisition 4 -Data quality Report data quality measures provided by your recording system alternative to impedances. textarea impedance_alternative acquisition_quality_measure == 2 8 1 1 Acquisition 4 -Electrode positioning What type of placement/naming convention have you used for the electrode locations? radio five percent electrode system (extension of the International 10-20 system by Oostenveld & Praamstra (2001)) | commercial geodesic net | other named system | custom locations electrode_location_naming_convention 1 9 1 1 Acquisition 4 EEGPlacementScheme ?? *_eeg.json -Electrode positioning Specify the electrode placement/naming convention used Either the name of a standardized placement system (for example, 10-20) or a list of standardized electrode names (for example, [Cz, Pz]) text electrode_location_naming_convention_other electrode_location_naming_convention == 2 10 1 1 Acquisition 4 -Electrode positioning Describe the custom placement of your electrodes relative to anatomical markers or electrode naming/placement systems E.g. "One electrode, half way between Cz and CP1, was used." text electrode_location_naming_convention_custom electrode_location_naming_convention == 3 11 1 1 Acquisition 4 -Electrode positioning In a later version of the app you will be able to upload here your electrode location file to report the exact position. radio great! | bring it on! | no need... locations_active_channels 1 12 0 1 Acquisition 4 x,y,z *_electrodes.tsv -Electrode positioning Number of scalp electrodes including reference channels, but excluding ground channel, VEOG and HEOG. integer number_active_channels 1 13 1 1 Acquisition 4 EEGChannelCount *_eeg.json -Electrode positioning Did you use an online reference (as opposed to alternative solutions such as Driven Right Leg (DRL))? radio preset:boolean online_reference_exists 1 14 1 1 Acquisition 4 -Electrode positioning Where did you place reference electrode(s)? select preset:eeg_reference_electrodes online_reference_type online_reference_exists == 1 15 1 1 Acquisition 4 EEGReference // reference *_eeg.json // *_channels.tsv -Electrode positioning What alternative to an online reference (for example DRL) did you use? Please describe it. text alternatives_to_reference online_reference_exists == 0 16 1 1 Acquisition 4 -Electrode positioning Online reference location other than listed text online_reference_type_other online_reference_type == 9 17 1 1 Acquisition 4 -Electrode positioning Where did you place ground electrode during the recording? text location_ground online_reference_exists == 1 18 1 1 Acquisition 4 EEGGround *_eeg.json -Electrode positioning How many EOG channels did you use to record eye movement-dependent voltage? radio two HEOG channels only | two VEOG channels only | two HEOG and two VEOG channels | no EOG channels | other eog_channels 1 19 1 1 Acquisition 4 EOGChannelCount *_eeg.json -Electrode positioning Specify the position of EOG channels you used for the recording For example, where were they placed? How were they positioned in ajdunct to the rest of the electrodes? text other_eog_channels eog_channels == 4 20 1 1 Acquisition 4 EOGChannelCount *_eeg.json -Online filters Which of the following online filters have you used? radio_multiple high pass | low pass | pass band | stop band | notch | none online_filters 1 21 1 1 Acquisition 4 online_filters *_eeg.json -Online filters Specify the high-pass filter cut-off used during recording. Hz float online_filters_high_pass_cut_off online_filters.includes(0) 22 1 1 Acquisition 4 high_cutoff *_channels.tsv -Online filters Type of high-pass filter cut-off radio half-amplitude | half-power online_filters_high_pass_cutoff_unit online_filters.includes(0) 23 1 1 Acquisition 4 -Online filters Specify the high-pass filter roll off used during recording dB/octave float online_filters_high_pass_roll_off online_filters.includes(0) 24 1 1 Acquisition 4 -Online filters Type of low-pass filter cut-off radio half-amplitude | half-power online_filters_low_pass_cutoff_unit online_filters.includes(1) 25 1 1 Acquisition 4 -Online filters Specify the low-pass filter cut-off used during recording. Hz float online_filters_low_pass_cut_off online_filters.includes(1) 26 1 1 Acquisition 4 -Online filters Specify the low-pass filter roll off used during recording dB/octave float online_filters_low_pass_roll_off online_filters.includes(1) 27 1 1 Acquisition 4 low_cutoff *_channels.tsv -Online filters What online notch filter have you applied after the recording? radio 50 Hz | 60 Hz | other online_notch_filter_type online_filters.includes(4) 28 1 1 Acquisition 4 notch *_channels.tsv -Online filters Describe the stopband frequency of the online notch filter you applied text online_notch_filter_type_details online_notch_filter_type == 2 29 1 1 Acquisition 4 notch *_channels.tsv -Sampling What was your acquisition sampling rate? Hz float recording_samping_frequency 1 30 1 1 Acquisition 4 sampling_frequency *_channels.tsv \ No newline at end of file +Data quality What is the appropriate acquisition data quality measure for the recording equipment? radio impedance upper threshold | impedance range | a data quality measure alternative to impedances acquisition_quality_measure acquisition_quality_measure_exists == 1 4 1 1 Acquisition 4 status *_channels.tsv +Data quality What was the upper threshold of impedance that was registered in this study? kilo-ohms integer impedance_threshold acquisition_quality_measure == 0 5 1 1 Acquisition 4 +Data quality What was the lowest impedance registered in this study? kilo-ohms integer impedance_lower_end acquisition_quality_measure == 1 6 1 1 Acquisition 4 +Data quality What was the highest impedance registered in this study? kilo-ohms integer impedance_higher_end acquisition_quality_measure == 1 7 1 1 Acquisition 4 +Data quality Report data quality measures provided by the recording system alternative to impedances. textarea impedance_alternative acquisition_quality_measure == 2 8 1 1 Acquisition 4 +Online (recording) reference Was voltage measured relative to an online reference for EEG electrodes (as opposed to alternative solutions such as Driven Right Leg (DRL))? radio preset:boolean online_reference_exists 1 14 1 1 Acquisition 4 +Online (recording) reference Location of the EEG online reference electrode(s) select preset:eeg_reference_electrodes online_reference_type online_reference_exists == 1 15 1 1 Acquisition 4 EEGReference // reference *_eeg.json // *_channels.tsv +Online (recording) reference What alternative to an EEG online reference (for example DRL) was used? text alternatives_to_reference online_reference_exists == 0 16 1 1 Acquisition 4 +Online (recording) reference EEG online reference location other than listed text online_reference_type_other online_reference_type == 9 17 1 1 Acquisition 4 +Online (recording) reference Location of the ground electrode during recording text location_ground online_reference_exists == 1 18 1 1 Acquisition 4 EEGGround *_eeg.json +Online (recording) reference Online reference for VEOG electrodes radio bipolar (lower - upper VEOG) | the same reference as EEG electrodes | other | VEOG was not recorded online_reference_VEOG 1 19 1 1 Acquisition 4 +Online (recording) reference Which other reference was used for VEOG recording? text online_reference_VEOG_other online_reference_VEOG == 2 20 1 1 Acquisition 4 +Online (recording) reference Online reference for HEOG electrodes radio bipolar (left - right HEOG) | bipolar (right - left HEOG) | the same reference as EEG electrodes | other | HEOG was not recorded online_reference_HEOG 1 21 1 1 Acquisition 4 +Online (recording) reference Which other reference was used for HEOG recording? text online_reference_HEOG_other online_reference_HEOG == 3 22 1 1 Acquisition 4 +Online (recording) reference Online reference for other non-EEG electrodes text the same reference as EEG electrodes | other | no other non-EEG electrodes were used online_reference_other_non-EEG 1 23 1 1 Acquisition 4 +Online (recording) reference Which other reference was used for other non-EEG electrodes? text online_reference_other_non-EEG_other online_reference_other_non-EEG == 1 24 1 1 Acquisition 4 +Online filters Which of the following online filters were used? radio_multiple high pass | low pass | notch | none online_filters 1 25 1 1 Acquisition 4 online_filters *_eeg.json +Online filters High-pass filter cut-off used during recording Hz float online_filters_high_pass_cut_off online_filters.includes(0) 26 1 1 Acquisition 4 high_cutoff *_channels.tsv +Online filters Type of online high-pass filter cut-off radio half-amplitude | half-power online_filters_high_pass_cutoff_unit online_filters.includes(0) 27 1 1 Acquisition 4 +Online filters High-pass filter roll off used during recording dB/octave float online_filters_high_pass_roll_off online_filters.includes(0) 28 1 1 Acquisition 4 +Online filters High-pass filter impulse response during recording radio finite impulse response (FIR) | infinite impulse response (IIR) online_filters_high_pass_impulse online_filters.includes(0) 29 1 1 Acquisition 4 +Online filters Type of online low-pass filter cut-off radio half-amplitude | half-power online_filters_low_pass_cutoff_unit online_filters.includes(1) 30 1 1 Acquisition 4 +Online filters Low-pass filter cut-off used during recording Hz float online_filters_low_pass_cut_off online_filters.includes(1) 31 1 1 Acquisition 4 +Online filters Low-pass filter roll off used during recording dB/octave float online_filters_low_pass_roll_off online_filters.includes(1) 32 1 1 Acquisition 4 low_cutoff *_channels.tsv +Online filters Low-pass filter impulse response during recording radio finite impulse response (FIR) | infinite impulse response (IIR) online_filters_low_pass_impulse online_filters.includes(1) 33 1 1 Acquisition 4 +Offline filters What notch filter was applied online (during recording)? radio 50 Hz | 60 Hz | other online_notch_filter_type online_filters.includes(2) 34 1 1 Acquisition 4 +Offline filters Center frequency of the online notch filter Hz text online_notch_filter_type_details online_notch_filter_type == 2 35 1 1 Acquisition 4 +Offline filters In which format do you want to report the width of the offline notch filter? radio distance between 3 dB points | number of removed frequencies in a decrete Fourier transform online_notch_filter_width online_filters.includes(2) 36 1 1 Acquisition 4 +Offline filters Distance between 3 dB points Hz float online_notch_filter_width_distance online_notch_filter_width == 0 37 1 1 Acquisition 4 +Offline filters Number of removed frequencies in a descrete Fourier transform float online_notch_filter_width_number_frequencies online_notch_filter_width == 1 38 1 1 Acquisition 4 +Offline filters Were any harmonics also removed by the online notch filter? radio preset:boolean online_notch_filter_harmonics online_filters.includes(2) 39 1 1 Acquisition 4 +Offline filters Which harmonics were removed by the online notch filter? List center frequencies separated by a semicolon and a space text online_notch_filter_harmonics_which online_notch_filter_harmonics == 1 40 1 1 Acquisition 4 +Sampling Acquisition sampling rate Hz float recording_samping_frequency 1 41 1 1 Acquisition 4 sampling_frequency *_channels.tsv \ No newline at end of file diff --git a/inputs/tsv/channels.tsv b/inputs/tsv/channels.tsv index 654437f..1632fdb 100644 --- a/inputs/tsv/channels.tsv +++ b/inputs/tsv/channels.tsv @@ -1,31 +1,31 @@ sub_section preamble question details field_type choices item_pref_label visibility item_order include mandatory activity_pref_label activity_order unit BIDS_status BIDS_key_for_unit BIDS_key_for_unit BIDS_file BIDS_key -Selection of channels for analysis In this section, you will describe channels selected for statistical analysis and the decision-making process behind it. This is a section about selection of the channels that will be subjected to statistical analysis and their grouping into regions of interest for the purposes of statistical analysis, but not the analysis itself. NOTE: If you notice a bug, or have a suggestion, we'd be grateful if you posted an issue on GitHub: https://github.com/INCF/artem-is/ Did you make a selection of channels for the purposes of statistical analysis? This question is about which channels were included in statistical analysis, either as individual channels or averaged/aggregated into regions of interest (ROI). You will be asked about potential channel averaging into ROIs later in this section. How to choose option here: For example, if you conducted an analysis such as cluster-based permutation tests on the entire scalp, you should pick "all channels were submitted to analysis", and not describe permutation tests in this section. If you completed cluster-based permutation tests on a subset of electrodes, you should select the other option, and then describe how this subset of electrodes was selected in the follow-up questions. radio all channels were submitted to statistical analysis | a subset of channels was submitted to statistical analysis channels_all_vs_subset 1 1 1 1 Channels 7 -Selection of channels for analysis What was the rationale for selecting this exact subset of electrodes? When you are making this decision, you may want to check out papers by Kriegskorte et al. (2009, https://doi.org/10.1038/nn.2303) or Gaspelin and Luck (2018, https://doi.org/10.1111/psyp.12639) on biases in time window and channel selection. radio a priori | data-driven selection from the entire scalp | data-driven selection of channels from an a priori selected region | selection/identification of channels in two data driven steps (e.g. location of maximal effect within a visually identified broader region) | other chan_selection channels_all_vs_subset == 1 2 1 1 Channels 7 +Selection of channels for analysis In this section, you will describe channels selected for statistical analysis and the decision-making process behind it. This is a section about selection of the channels that will be subjected to statistical analysis and their grouping into regions of interest for the purposes of statistical analysis, but not the analysis itself. NOTE: If you notice a bug, or have a suggestion, we'd be grateful if you posted an issue on GitHub: https://github.com/INCF/artem-is/ Was a subset of channels selected for the purposes of statistical analysis? This question is about which channels were included in statistical analysis, either as individual channels or averaged/aggregated into regions of interest (ROI). You will be asked about potential channel averaging into ROIs later in this section. How to choose option here: For example, if you conducted an analysis such as cluster-based permutation tests on the entire scalp, you should pick "all channels were submitted to analysis", and not describe permutation tests in this section. If you completed cluster-based permutation tests on a subset of channels, you should select the other option, and then describe how this subset of channels was selected in the follow-up questions. radio all channels were submitted to statistical analysis | a subset of channels was submitted to statistical analysis channels_all_vs_subset 1 1 1 1 Channels 7 +Selection of channels for analysis What was the rationale for selecting this exact subset of channels? When you are making this decision, you may want to check out papers by Kriegskorte et al. (2009, https://doi.org/10.1038/nn.2303) or Gaspelin and Luck (2018, https://doi.org/10.1111/psyp.12639) on biases in time window and channel selection. radio a priori | data-driven selection from the entire scalp | data-driven selection of channels from an a priori selected region | selection/identification of channels in two data driven steps (e.g. location of maximal effect within a visually identified broader region) | other chan_selection channels_all_vs_subset == 1 2 1 1 Channels 7 Selection of channels for analysis Select the a priori procedure which was used for channel selection. radio The same as in previous literature | based on previous literature, but not exact replication | theory driven novel channel selection | other chan_selection_a_priori [0, 2].includes(chan_selection) 3 1 1 Channels 7 Selection of channels for analysis Literature references, separated by semicolon and space textarea chan_selection_a_priori_literature_reference [0, 1].includes(chan_selection_a_priori) 4 1 1 Channels 7 Selection of channels for analysis Provide reasons for deviation or explan how the cited channel choices were combined textarea chan_selection_a_priori_literature_similar chan_selection_a_priori == 1 5 1 1 Channels 7 Selection of channels for analysis Theory behind a-priori novel channel selection (including, e.g., thresholds or references if relevant) textarea chan_selection_a_priori_theory chan_selection_a_priori == 2 6 1 1 Channels 7 -Selection of channels for analysis Describe your a-priori channel selection process other than those listed textarea chan_selection_a_priori_other chan_selection_a_priori == 3 7 1 1 Channels 7 +Selection of channels for analysis Describe a-priori channel selection process other than those listed textarea chan_selection_a_priori_other chan_selection_a_priori == 3 7 1 1 Channels 7 Selection of channels for analysis Number of a priori selected channels integer chan_a_priori_number [0, 2].includes(chan_selection) 8 1 1 Channels 7 Selection of channels for analysis List of a priori selected channels, separated by a semicolon and a space textarea chan_a_priori_list [0, 2].includes(chan_selection) 9 1 1 Channels 7 -Selection of channels for analysis Select the procedure which was used to identify the initial set of channels which was used to make the final selection of channels in the next step. radio visual inspection of waveforms (separate or collapsed conditions) | visual inspection of global field potentials | visual inspection of voltage maps (separate or collapsed conditions) | significant effects on multiple neighbouring electrodes | N channels arround the largest effect | other chan_selection_data_driven_broad chan_selection == 3 10 1 1 Channels 7 -Selection of channels for analysis Which experimental conditions did you inspect visually to select channel region? radio all conditions separately | all conditions collapsed into one average waveform | other chan_selection_data_driven_broad_visual [0,1, 2].includes(chan_selection_data_driven_broad) 11 1 1 Channels 7 -Selection of channels for analysis Describe which conditions or combinations of conditions did you use for visual inspection of the channel region for this effect? textarea chan_selection_data_driven_broad_visual_details chan_selection_data_driven_broad_visual == 2 12 1 1 Channels 7 -Selection of channels for analysis What was the criterion for the size of the cluster of neighbouring electrodes that needed to be significant to be selected for statistical analysis? textarea chan_selection_data_driven_broad_neighbours chan_selection_data_driven_broad == 3 13 1 1 Channels 7 -Selection of channels for analysis How did you select the channels around the peak effect for analysis? textarea chan_selection_data_driven_broad_neighbours_maxregion chan_selection_data_driven_broad == 4 14 1 1 Channels 7 -Selection of channels for analysis Describe your method of selection of the initial set of electrodes used for analysis other than listed. textarea chan_selection_data_driven_broad_neighbours_other chan_selection_data_driven_broad == 5 15 1 1 Channels 7 +Selection of channels for analysis Select the procedure which was used to identify the initial set of channels which was used to make the final selection of channels in the next step. radio visual inspection of waveforms (separate or collapsed conditions) | visual inspection of global field potentials | visual inspection of voltage maps (separate or collapsed conditions) | significant effects on multiple neighbouring channels | N channels arround the largest effect | other chan_selection_data_driven_broad chan_selection == 3 10 1 1 Channels 7 +Selection of channels for analysis Which experimental conditions were inspected visually to select channel region? radio all conditions separately | all conditions collapsed into one average waveform | other chan_selection_data_driven_broad_visual [0,1, 2].includes(chan_selection_data_driven_broad) 11 1 1 Channels 7 +Selection of channels for analysis Describe which conditions or combinations of conditions were used for visual inspection of the channel region for this effect? textarea chan_selection_data_driven_broad_visual_details chan_selection_data_driven_broad_visual == 2 12 1 1 Channels 7 +Selection of channels for analysis What was the criterion for the size of the cluster of neighbouring channels that needed to be significant to be selected for statistical analysis? textarea chan_selection_data_driven_broad_neighbours chan_selection_data_driven_broad == 3 13 1 1 Channels 7 +Selection of channels for analysis How were the channels around the peak effect selected for analysis? textarea chan_selection_data_driven_broad_neighbours_maxregion chan_selection_data_driven_broad == 4 14 1 1 Channels 7 +Selection of channels for analysis Describe method of selection of the initial set of channels used for analysis other than listed. textarea chan_selection_data_driven_broad_neighbours_other chan_selection_data_driven_broad == 5 15 1 1 Channels 7 Selection of channels for analysis Number of channels selected in this step float chan_selection_data_driven_broad_number chan_selection == 3 16 1 1 Channels 7 Selection of channels for analysis List of channels selected in this step, separated by a semicolon and a space float chan_selection_data_driven_broad_list chan_selection == 3 17 1 1 Channels 7 -Selection of channels for analysis Select the procedure which was used to identify the set of electrodes which was submitted to statistical analysis. radio visual inspection of waveforms (separate or collapsed conditions) | visual inspection of global field potentials | visual inspection of voltage maps (separate or collapsed conditions) | significant effects on multiple neighbouring electrodes | N channels arround the largest effect | other chan_selection_data_driven_final [1, 2, 3].includes(chan_selection) 18 1 1 Channels 7 -Selection of channels for analysis Which experimental conditions did you inspect visually to select the final list of channels for this effect? radio all conditions separately | all conditions collapsed into one average waveform | other chan_selection_data_driven_final_visual [0,1, 2].includes(chan_selection_data_driven_final) 19 1 1 Channels 7 -Selection of channels for analysis Describe which conditions or combinations of conditions did you use for visual inspection of the channel region for this effect? textarea chan_selection_data_driven_final_visual_details chan_selection_data_driven_final_visual == 2 20 1 1 Channels 7 -Selection of channels for analysis What was the criterion for the size of the cluster of neighbouring electrodes that needed to be significant to be selected for statistical analysis? textarea chan_selection_data_driven_final_neighbours chan_selection_data_driven_final == 3 21 1 1 Channels 7 -Selection of channels for analysis How did you select the channels around the peak effect for analysis? textarea chan_selection_data_driven_final_neighbours_maxregion chan_selection_data_driven_final == 4 22 1 1 Channels 7 -Selection of channels for analysis Describe your method of selection of the set of electrodes used for analysis other than listed. textarea chan_selection_data_driven_final_neighbours_other chan_selection_data_driven_final == 5 23 1 1 Channels 7 +Selection of channels for analysis Select the procedure which was used to identify the set of channels which was submitted to statistical analysis. radio visual inspection of waveforms (separate or collapsed conditions) | visual inspection of global field potentials | visual inspection of voltage maps (separate or collapsed conditions) | significant effects on multiple neighbouring channels | N channels arround the largest effect | other chan_selection_data_driven_final [1, 2, 3].includes(chan_selection) 18 1 1 Channels 7 +Selection of channels for analysis Which experimental conditions were inspected visually to select the final list of channels for this effect? radio all conditions separately | all conditions collapsed into one average waveform | other chan_selection_data_driven_final_visual [0,1, 2].includes(chan_selection_data_driven_final) 19 1 1 Channels 7 +Selection of channels for analysis Describe which conditions or combinations of conditions were used for visual inspection of the channel region for this effect? textarea chan_selection_data_driven_final_visual_details chan_selection_data_driven_final_visual == 2 20 1 1 Channels 7 +Selection of channels for analysis What was the criterion for the size of the cluster of neighbouring channels that needed to be significant to be selected for statistical analysis? textarea chan_selection_data_driven_final_neighbours chan_selection_data_driven_final == 3 21 1 1 Channels 7 +Selection of channels for analysis How were the channels around the peak effect selected for analysis? textarea chan_selection_data_driven_final_neighbours_maxregion chan_selection_data_driven_final == 4 22 1 1 Channels 7 +Selection of channels for analysis Describe method of selection of the set of channels used for analysis other than listed. textarea chan_selection_data_driven_final_neighbours_other chan_selection_data_driven_final == 5 23 1 1 Channels 7 Selection of channels for analysis Number of channels selected in this step integer chan_selection_data_driven_final_number [1, 2, 3].includes(chan_selection) 24 1 1 Channels 7 Selection of channels for analysis List of channels selected in this step, separated by a semicolon and a space textarea chan_selection_data_driven_final_list [1, 2, 3].includes(chan_selection) 25 1 1 Channels 7 -Selection of channels for analysis Describe the criterion/criteria for selecting this exact subset of electrodes other than the options offered above. textarea chan_selection_other [4].includes(chan_selection) 26 1 1 Channels 7 -Channel aggregating Did you enter channels separately into statistical analysis or did you aggregate them into regions before conducting the statistical analysis? radio individual channels | channels aggregated into regions of interest (ROIs) chan_aggregating_used 1 27 1 1 Channels 7 -Channel aggregating Describe which channels were aggregated together to form regions of interest. For example: "Fz, F3, and F4 were averaged into a frontal region, while Cz, C3 and C4 were averaged into a central region." textarea chan_aggregating_which_regions chan_aggregating_boolean = 1 28 1 1 Channels 7 -Channel aggregating Did you aggregate channels by averaging? radio aggregating by simple averaging | aggregating by a different function (e.g., weighted averaging) chan_aggregating_averaging chan_aggregating_boolean = 1 29 1 1 Channels 7 -Channel aggregating Describe how the channels were aggregated into regions, if they were not averaged. For example, if weighted averaging was used, specify this and describe how the channels were weighted. textarea chan_aggretating_other_methods chan_aggregating_boolean = 1 30 1 1 Channels 7 \ No newline at end of file +Selection of channels for analysis Describe the criterion/criteria for selecting this exact subset of channels other than the options offered above. textarea chan_selection_other [4].includes(chan_selection) 26 1 1 Channels 7 +Channel aggregating Were the channels entered separately into statistical analysis or were they aggregated into regions before conducting the statistical analysis? radio individual channels | channels aggregated into regions of interest (ROIs) chan_aggregating_used 1 27 1 1 Channels 7 +Channel aggregating Describe which channels were aggregated together to form regions of interest. For example: "Fz, F3, and F4 were averaged into a frontal region, while Cz, C3 and C4 were averaged into a central region." textarea chan_aggregating_which_channels chan_aggregating_used == 1 28 1 1 Channels 7 +Channel aggregating Were the channels aggregated by averaging? radio aggregating by simple averaging | aggregating by a different function (e.g., weighted averaging) chan_aggregating_averaging chan_aggregating_used == 1 29 1 1 Channels 7 +Channel aggregating Describe how the channels were aggregated into regions, if they were not averaged. For example, if weighted averaging was used, specify this and describe how the channels were weighted. textarea chan_aggretating_other_methods chan_aggregating_averaging == 1 30 1 1 Channels 7 \ No newline at end of file diff --git a/inputs/tsv/design_sample.tsv b/inputs/tsv/design_sample.tsv index 163d8c7..a70105a 100644 --- a/inputs/tsv/design_sample.tsv +++ b/inputs/tsv/design_sample.tsv @@ -1,12 +1,12 @@ sub_section preamble question details field_type choices item_pref_label visibility item_order include mandatory activity_pref_label activity_order unit BIDS_file BIDS_key BIDS_key_for_unit BIDS_status Sample size In this section you will decrobe the experimental design and sample, such as experimental condition and trial number per condition, number of participants, participant exclusion and presenting software. NOTE: If you notice a bug, or have a suggestion, we'd be grateful if you posted an issue on GitHub: https://github.com/INCF/artem-is/ How many subjects participated in the study? integer sample_size_total 1 1 1 1 design_and_sample 2 participants.tsv? -Sample size How many participants, in total, were included in the analysis, after exclusion participants with bad data? integer sample_size_valid 1 2 1 1 design_and_sample 2 +Sample size How many participants, in total, were included in the analysis, after exclusion of participants? integer sample_size_valid 1 2 1 1 design_and_sample 2 Sample size Specify reasons for excluding participants. textarea subject_exclusion_rationale sample_size_total > sample_size_valid 3 1 1 design_and_sample 2 -Sample size How many experimental/comparison (between-subjects) groups did the study feature? integer number_of_groups 1 4 1 1 design_and_sample 2 -Sample size Specify group names separated by semicolon and a space (e.g., test group; control group) text order_of_group number_of_groups > 1 5 1 1 design_and_sample 2 -Sample size How many participants did each group have after exclusion? Input numeric values in the same order in which groups were listed in the previous section. Values should be separated by semicolon and a space. text participants_per_group number_of_groups > 1 6 1 1 design_and_sample 2 -Presented trials How many within-subject conditions did the study have? integer total_nb_of_within_subject_conditions 1 7 1 1 design_and_sample 2 -Presented trials Specify condition names separated by semicolon and a space (e.g., match; mismatch). text within_subject_condition_names 1 8 1 1 design_and_sample 2 +Groups and within-subject conditions How many experimental/comparison (between-subjects) groups did the study feature? If participants were not divided into separate groups, please enter 1 to indicate 1 condition integer number_of_groups 1 4 1 1 design_and_sample 2 +Groups and within-subject conditions Specify group names separated by semicolon and a space (e.g., test group; control group) text order_of_group number_of_groups > 1 5 1 1 design_and_sample 2 +Groups and within-subject conditions How many participants did each group have after exclusion? Input numeric values in the same order in which groups were listed in the previous section. Values should be separated by semicolon and a space. text participants_per_group number_of_groups > 1 6 1 1 design_and_sample 2 +Groups and within-subject conditions How many within-subject conditions did the study have? If your within subjects data is not divided into separate conditions, please enter 1 to indicate 1 condition integer total_nb_of_within_subject_conditions 1 7 1 1 design_and_sample 2 +Groups and within-subject conditions Specify condition names separated by semicolon and a space (e.g., match; mismatch). text within_subject_condition_names total_nb_of_within_subject_conditions > 1 8 1 1 design_and_sample 2 Presented trials What determined the number of trials each subject was presented with? radio fixed N of trials delivered | adaptive N of trials (e.g., presenting trials with behavioural errors again until correct response) | Other trial_presentation_strategy 1 9 1 1 design_and_sample 2 Presented trials How many trials in total was each subject presented with (including repetition of the same stimuli or trials)? integer total_nb_of_trials trial_presentation_strategy == 0 10 1 1 design_and_sample 2 Presented trials How many trials did each condition feature (including repetition of the same stimuli or trials)? Values should be separated by semicolon and a space and given in the same order as the conditions were listed earlier. If there are multiple groups of participants, list trial counts for all conditions for one group, and then for the next one - following the ordering of groups as you specified them earlier. textarea total_nb_of_trials_condition trial_presentation_strategy == 0 11 1 1 design_and_sample 2 @@ -21,4 +21,4 @@ Analyzed trials After eliminating trials on all bases (e.g., artifacts, behavio Analyzed trials Specify the minimum number of trials analyzed per condition for any subject. Values should be separated by semicolon and a space and given in the same order as the conditions were listed earlier. If there are multiple groups of participants, list trial counts for all conditions for one group, and then for the next one - following the ordering of groups as you specified them earlier. text min_nb_of_trials_per_condition 1 20 1 1 design_and_sample 2 Analyzed trials Specify the maximum number of trials analyzed per condition for any subject. Values should be separated by semicolon and a space and given in the same order as the conditions were listed earlier. If there are multiple groups of participants, list trial counts for all conditions for one group, and then for the next one - following the ordering of groups as you specified them earlier. text max_nb_of_trials_per_condition 1 21 1 1 design_and_sample 2 Presenting software Which presenting software did you use to show your experimental task? select preset:stimulus_presentation_softwares presenting_software 1 22 1 1 design_and_sample 2 *_events.tsv object: StimulusPresentation fields: SoftwareName -Presenting software Specify software version if applicable, and software name and version if "other" was selected. text presenting_software_details 1 23 1 1 design_and_sample 2 *_events.tsv object: StimulusPresentation fields: SoftwareVersion \ No newline at end of file +Presenting software Specify software version if applicable, programming language if "custom script" was selected, and software name and version if "other" was selected. text presenting_software_details 1 23 1 1 design_and_sample 2 *_events.tsv object: StimulusPresentation fields: SoftwareVersion \ No newline at end of file diff --git a/inputs/tsv/hardware.tsv b/inputs/tsv/hardware.tsv index 6a807d6..547a5fc 100644 --- a/inputs/tsv/hardware.tsv +++ b/inputs/tsv/hardware.tsv @@ -3,20 +3,27 @@ Preamp peripherals In this section you will describe hardware choices such as mo Preamp peripherals Cap or net make (brand) select preset:eeg_cap_types electrode_placement_type_cap electrode_placement_type == 0 2 1 1 Hardware 3 CapManufacturer *_eeg.json Preamp peripherals Cap or net make (brand) other than listed above text cap_other electrode_placement_type_cap == 10 3 1 1 Hardware 3 *_eeg.json Preamp peripherals Cap or net model text cap_model electrode_placement_type == 0 4 1 1 Hardware 3 CapManufacturersModelName *_eeg.json -Preamp peripherals Make (brand) of the electrodes text electrode_manufacturer 1 5 1 1 Hardware 3 ManufacturersModelName *_eeg.json +Preamp peripherals Make (brand) of the electrodes This is often, but not necessarily so, the same brand as the cap, if they were purchased together as a set. text electrode_manufacturer 1 5 1 1 Hardware 3 ManufacturersModelName *_eeg.json Preamp peripherals Model of electrodes text electrode_model 1 6 1 1 Hardware 3 -Preamp peripherals Did electrodes have pre-amplifiers? radio no - passive electrodes | yes - active electrodes electrode_preamplifiers 1 7 1 1 Hardware 3 +Preamp peripherals Did electrodes have pre-amplifiers? radio no (passive electrodes) | yes (active electrodes) electrode_preamplifiers 1 7 1 1 Hardware 3 Preamp peripherals What material were electrodes made of? radio Ag/Ag-Cl | tin | other electrode_material 1 8 1 1 Hardware 3 Preamp peripherals Specify the material that the electrodes were made of. text electrode_material_other electrode_material == 2 9 1 1 Hardware 3 Preamp peripherals Type of conductive medium used other than listed. radio conductive gel | saline solution | adhesive paste | none (dry electrodes) | other conductive_medium 1 10 1 1 Hardware 3 Preamp peripherals Conductive medium type other than listed. text conductive_medium_other conductive_medium == 4 11 1 1 Hardware 3 -Signal Amplifiers Make (brand) of the amplifier select preset:eeg_amplifier_brands amplifier_make 1 12 1 1 Hardware 3 ManufacturersModelName -Signal Amplifiers Make (brand) of the amplifiers other than listed above text amplifier_make_other amplifier_make == 25 13 1 1 Hardware 3 -Signal Amplifiers Model of amplifiers text amplifier_model 1 14 1 1 Hardware 3 ManufacturersModelName *_eeg.json -Triggers Source of triggers radio photo diode | auditory trigger/voice key | combination stim tracker | presentation software trigger | other trigger_signal_source 1 15 1 1 Hardware 3 *_eeg.json -Triggers Source of triggers other than listed. text trigger_signal_source_other trigger_signal_source == 4 16 1 1 Hardware 3 -Triggers Describe your trigger signal input. Were your triggers delivered during acquisition (e.g., triggers from photo diode simultaneously recorded while presenting trials) or added after recording (e.g. after analysis of an audio recording of spoken responses)? radio Online, during acquisition | Added after recording trigger_signal_input_when 1 17 1 1 Hardware 3 TriggerChannelCount *_eeg.json -Triggers Were your triggers delivered to the amplifier or acquisition computer? radio Amplifier | Acquisition computer trigger_signal_input_where 1 18 1 1 Hardware 3 -Triggers Were your triggers delivered via an analogue or digital signal format? radio Analogue (e.g., via a parallel port, serial port, or TCP/IP) | Digital (including serial port over a USB port (arduino, LabJack U3, or similar)) trigger_signal_input_how 1 19 1 1 Hardware 3 -Other peripheral devices Do you have other devices (eg. signal boxes, converters, other peripheral devices) to report? You can list here any special equipment that you find necessary to report, such as (1) special monitors, keyboards, etc. worth mentioning; (2) additional EEG recording equipment such as AD converters or electrode position measurement devices; (3) other recording equipment used in parallel, such as eye tracking, fMRI, electrodermal or heart rate monitors. radio preset:boolean other_peripheral_devices 1 20 1 1 Hardware 3 -Other peripheral devices Describe which additional devices you used, and specify their manufacturers and models. textarea other_peripheral_devices_details other_peripheral_devices == 1 21 1 1 Hardware 3 \ No newline at end of file +Electrode positioning Were all electrode slots available in the cap used (i.e., they had electrodes in them)? radio preset:boolean cap_all_slots electrode_placement_type == 0 12 1 1 Hardware 3 +Electrode positioning What type of placement convention is appropriate for describing electrode placement scheme in this study? radio International 10-20 system and its extensions (e.g., 10-10, 5 percent) | an equidistant electrode placement scheme | other placement systems | custom locations electrode_location_naming_convention 1 13 1 1 Hardware 3 EEGPlacementScheme ?? *_eeg.json +Electrode positioning Which extension of the 10-20 system will you use to describe electrode positions? We recommend selecting the 5% convention (Oostenveld & Praamstra, 2001) as it is the latest version. radio 5% convention | 10-10 convention | 10-20 convention ten-twenty_version electrode_location_naming_convention == 0 14 1 1 Hardware 3 +Electrode positioning Number of EEG electrodes that were used for acquisition (including, if they are on scalp, ground and reference electrodes, as well as earlobes; excluding EOG and other non-EEG electrodes). This should not include empty slots on the cap where electrodes were not placed, if there were such slots. integer number_EEG_electrodes 1 15 1 1 Hardware 3 +Electrode positioning The appropriate methods description should also include a list or a scheme of all electrode locations. This is currently not available in ARTEM-IS due to technical limitations, so please provide a link where the sceheme/list can be found. This can be a public preregistration document, OSF file, preprint, or a publication. text link_electrode_scheme 1 16 1 1 Hardware 3 +Electrode positioning Which other electrodes were used for recording? radio_multiple VEOG above left eye | VEOG below left eye | VEOG above right eye | VEOG below right eye | left HEOG | right HEOG | an electrode used to make balanced noncephalic reference | other electrodes non-EEG_electrodes 1 17 1 1 Hardware 3 +Electrode positioning Which electrodes were used in addition to the ones described above? textarea non-EEG_electrodes_other non-EEG_electrodes == 7 18 1 1 Hardware 3 +Signal Amplifiers Make (brand) of the amplifier select preset:eeg_amplifier_brands amplifier_make 1 19 1 1 Hardware 3 ManufacturersModelName +Signal Amplifiers Make (brand) of the amplifiers other than listed above text amplifier_make_other amplifier_make == 25 20 1 1 Hardware 3 +Signal Amplifiers Model of amplifiers text amplifier_model 1 21 1 1 Hardware 3 ManufacturersModelName *_eeg.json +Triggers Source of triggers radio photo diode | auditory trigger/voice key | combination stim tracker | presentation software trigger | other trigger_signal_source 1 22 1 1 Hardware 3 *_eeg.json +Triggers Source of triggers other than listed. text trigger_signal_source_other trigger_signal_source == 4 23 1 1 Hardware 3 +Triggers Describe trigger signal input. Were triggers delivered during acquisition (e.g., triggers from photo diode simultaneously recorded while presenting trials) or added after recording (e.g. after analysis of an audio recording of spoken responses)? radio Online, during acquisition | Added after recording trigger_signal_input_when 1 24 1 1 Hardware 3 TriggerChannelCount *_eeg.json +Triggers Were triggers delivered to the amplifier or acquisition computer? radio Amplifier | Acquisition computer trigger_signal_input_where 1 25 1 1 Hardware 3 +Triggers Were triggers delivered via an analogue or digital signal format? radio Analogue (e.g., via a parallel port, serial port, or TCP/IP) | Digital (including serial port over a USB port (arduino, LabJack U3, or similar)) trigger_signal_input_how 1 26 1 1 Hardware 3 +Other peripheral devices Do you have other devices (eg. signal boxes, converters, other peripheral devices) to report? You can list here any special equipment that you find necessary to report, such as (1) special monitors, keyboards, etc. worth mentioning; (2) additional EEG recording equipment such as AD converters or electrode position measurement devices; (3) other recording equipment used in parallel, such as eye tracking, fMRI, electrodermal or heart rate monitors. radio preset:boolean other_peripheral_devices 1 27 1 1 Hardware 3 +Other peripheral devices Describe which additional devices were used, and specify their manufacturers and models. textarea other_peripheral_devices_details other_peripheral_devices == 1 28 1 1 Hardware 3 \ No newline at end of file diff --git a/inputs/tsv/measurement.tsv b/inputs/tsv/measurement.tsv index 0251dea..147b824 100644 --- a/inputs/tsv/measurement.tsv +++ b/inputs/tsv/measurement.tsv @@ -1,75 +1,78 @@ sub_section preamble question unit details field_type choices item_pref_label visibility item_order include mandatory activity_pref_label activity_order BIDS_status BIDS_file BIDS_key BIDS_key_for_unit -Measurement This is a section where amplitude and latency measurement are described. NOTE: If you notice a bug, or have a suggestion, we'd be grateful if you posted an issue on GitHub: https://github.com/INCF/artem-is/ Did you measure amplitude and/or latency for the purposes of later statistical analysis? Select no if you did not measure latency or amplitude for the purposes of statistical analysis in the next step. For example, you may have conducted a mass univariate analysis and you did not subject locations and time windows obtained by mass univariate approach to another statistical analysis, or you may have conducted a source analysis. radio preset:boolean measure_intro 1 1 1 1 Measurement 6 -Measurement Select the types of measurements you conducted. radio_multiple amplitude | latency measure_type measure_intro == 1 2 1 1 Measurement 6 *_eeg.json SoftwareFilters +Measurement This is a section where amplitude and latency measurement are described. NOTE: At the momement, you can describe one component (one time window and location) in one template, with its latency and/or amplitude measured in multiple different ways. If you have measured multiple components, you can make a copy (or copies) of the template and change appropriate sections to reflect how you measured these other components. If you notice a bug, or have a suggestion, we'd be grateful if you posted an issue on GitHub: https://github.com/INCF/artem-is/ Did this study include measuring amplitude and/or latency for the purposes of later statistical analysis? Select no if you did not measure latency or amplitude for the purposes of statistical analysis in the next step. For example, you may have conducted a mass univariate analysis and you did not subject locations and time windows obtained by mass univariate approach to another statistical analysis, or you may have conducted a source analysis. radio preset:boolean measure_intro 1 1 1 1 Measurement 6 +Measurement Select the types of measurements that were taken. radio_multiple amplitude | latency measure_type measure_intro == 1 2 1 1 Measurement 6 *_eeg.json SoftwareFilters Amplitude measurement - software Amplitude measurement software select preset:meeg_analysis_softwares amp_measure_software measure_type.includes(0) 3 1 1 Measurement 6 -Amplitude measurement - software Specify software version if applicable, and software name and version if "other" was selected. text amp_measure_software_details measure_type.includes(0) 4 1 1 Measurement 6 +Amplitude measurement - software Specify software version if applicable, script language if "custom script" was selected, and software name and version if "other" was selected. text amp_measure_software_details measure_type.includes(0) 4 1 1 Measurement 6 Amplitude measurement - waveforms The amplitude is measured from radio preset:waveform amp_measured_from measure_type.includes(0) 5 1 1 Measurement 6 Amplitude measurement - waveforms Which conditions were subtracted from which? Specify how difference waves were constructed. textarea waveform_difference_waves amp_measured_from == 1 6 1 1 Measurement 6 -Amplitude measurement - waveforms How did you calculate your waveforms for analysis? Describe in detail sufficient to allow replication. textarea waveform_further_details amp_measured_from > 1 7 1 1 Measurement 6 -Amplitude measurement - measure Select procedure which was used for amplitude measurement in this time window. radio preset:amplitude_measurement amp_measure_procedure measure_type.includes(0) 8 1 1 Measurement 6 -Amplitude measurement - measure Was the peak negative or positive? radio negative | positive amp_measure_peak_positivity amp_measure_procedure == 1 9 1 1 Measurement 6 -Amplitude measurement - measure What method did you use for peak calculation? radio simple peak | local peak amp_measure_peak_method amp_measure_procedure == 1 10 1 1 Measurement 6 -Amplitude measurement - measure Which window area measure did you use? radio rectified | signed | integral window_area_measure_type amp_measure_procedure == 2 11 1 1 Measurement 6 -Amplitude measurement - measure Describe the procedure for amplitude measurement calculation in detail sufficient for its replication. textarea amp_measure_details amp_measure_procedure > 4 12 1 1 Measurement 6 -Amplitude measurement - time window How was the amplitude measurement window selected? e.g. for a priori - mean of a window decided in advance; e.g. visual inspection of an a priori decided range or window around a peak found in an a priori decided range; e.g., for data driven - mass uni analysis of the entire epoch, visual inspecion of the entire epoch or a vaguely defined (i.e. flexible) general time range. When you are making this decision, you may want to check out papers by Kriegskorte et al. (2009, https://doi.org/10.1038/nn.2303) or Gaspelin and Luck (2018, https://doi.org/10.1111/psyp.12639) on biases in time window and channel selection. radio a priori | data-driven selection/identification of the time window from the entire epoch | time window was selected/identified using data-driven methods from a broader window which was selected a priori | selection/identification of time window in two data driven steps (e.g. time window around a peak of a visually identified broader window) | other amp_time_window_selection measure_type.includes(0) 13 1 1 Measurement 6 -Amplitude measurement - time window Select the a priori procedure which was used for amplitude measurement in this time window. radio The same as in previous literature | based on previous literature, but not exact replication | theory driven novel window selection | other amp_window_selection_a_priori [0, 2].includes(amp_time_window_selection) 14 1 1 Measurement 6 -Amplitude measurement - time window Literature references, separated by semicolon and space textarea amp_literature_reference [0, 1].includes(amp_window_selection_a_priori) 15 1 1 Measurement 6 -Amplitude measurement - time window Provide reasons for deviation or explan how the cited time windows were combined textarea amp_literature_similar amp_window_selection_a_priori == 1 16 1 1 Measurement 6 -Amplitude measurement - time window Theory behind a-priori window selection (including e.g., thresholds or references if relevant) textarea amp_theory amp_window_selection_a_priori == 2 17 1 1 Measurement 6 -Amplitude measurement - time window Describe your a-priori window selection process other than those listed textarea amp_selection_other_reasons amp_window_selection_a_priori == 3 18 1 1 Measurement 6 -Amplitude measurement - time window Provide the start of the a priori selected time window for amplitude measurement. ms float amp_measure_start_a_priori [0, 2].includes(amp_time_window_selection) 19 1 1 Measurement 6 -Amplitude measurement - time window Provide the end of the a priori selected time window for amplitude measurement. ms float amp_measure_end_a_priori [0, 2].includes(amp_time_window_selection) 20 1 1 Measurement 6 -Amplitude measurement - time window Select the procedure which was used to identify start and end of the initial time window. vis. inspection across all conditions also known as flattened average approach, for more details see Gaspelin and Luck or https://doi.org/10.1371/journal.pcbi.1008286 radio visual inspection of waveforms (separate or collapsed conditions) | visual inspection of global field potentials | significant effects on consecutive time points/short windows | time window around a peak | other amp_window_selection_data_driven_broad amp_time_window_selection == 3 21 1 1 Measurement 6 -Amplitude measurement - time window Which waveforms/conditions did you inspect visually to select the initial time window for this effect? radio all conditions separately | all conditions collapsed into one average waveform | other amp_window_selection_data_driven_broad_visual [0,1].includes(amp_window_selection_data_driven_broad) 22 1 1 Measurement 6 -Amplitude measurement - time window Describe which conditions or combinations of conditions you used for visual inspection. textarea amp_selection_data_driven_broad_visual_details amp_window_selection_data_driven_broad_visual == 2 23 1 1 Measurement 6 -Amplitude measurement - time window How broad were the windows that were consecutively tested? ms integer amp_window_length_sig_tests_broad amp_window_selection_data_driven_broad == 2 24 1 1 Measurement 6 -Amplitude measurement - time window Did the consecutive time windows overlap? radio preset:boolean amp_window_overlap_sig_tests_broad amp_window_selection_data_driven_broad == 2 25 1 1 Measurement 6 -Amplitude measurement - time window By how many milliseconds did they overlap? ms integer amp_window_overlap_length_sig_tests_broad amp_window_selection_data_driven_broad == 2 26 1 1 Measurement 6 -Amplitude measurement - time window How many consecutive significant tests were required to identify an effect? integer amp_window_no_sig_tests_broad amp_window_selection_data_driven_broad == 2 27 1 1 Measurement 6 -Amplitude measurement - time window How wide was the window around peak? ms float amp_window_peakwindow_length_broad amp_window_selection_data_driven_broad == 3 28 1 1 Measurement 6 -Amplitude measurement - time window Rationale for selecting this window length textarea amp_window_peakwindow_length_rationale_broad amp_window_selection_data_driven_broad == 3 29 1 1 Measurement 6 -Amplitude measurement - time window Describe your method of selection of the initial time window used to measure amplitude other than listed. textarea amp_window_other_broad amp_window_selection_data_driven_broad == 4 30 1 1 Measurement 6 -Amplitude measurement - time window Start of the window which was used to provide broader borders for the final time window selection. ms float amp_window_start_data_driven_broad amp_time_window_selection == 3 31 1 1 Measurement 6 -Amplitude measurement - time window End of the window which was used to provide broader borders for the final time window selection. ms float amp_window_end_data_driven_broad amp_time_window_selection == 3 32 1 1 Measurement 6 -Amplitude measurement - time window Select the procedure which was used to identify start and end of the final time window. vis. inspection across all conditions also known as flattened average approach, for more details see Gaspelin and Luck or https://doi.org/10.1371/journal.pcbi.1008286 radio visual inspection of waveforms (separate or collapsed conditions) | visual inspection of global field potentials | significant effects on consecutive time points/short windows | time window around a peak | other amp_window_selection_data_driven_final [1, 2, 3].includes(amp_time_window_selection) 33 1 1 Measurement 6 -Amplitude measurement - time window Which waveforms/conditions did you inspect visually to select the final time window for this effect? radio all conditions separately | all conditions collapsed into one average waveform | other amp_window_selection_data_driven_final_visual [0,1].includes(amp_window_selection_data_driven_final) 34 1 1 Measurement 6 -Amplitude measurement - time window Describe which conditions or combinations of conditions you used for visual inspection. textarea amp_selection_data_driven_final_visual_details amp_window_selection_data_driven_final_visual == 2 35 1 1 Measurement 6 -Amplitude measurement - time window How broad were the windows that were consecutively tested? ms integer amp_window_length_sig_tests_final amp_window_selection_data_driven_final == 2 36 1 1 Measurement 6 -Amplitude measurement - time window Did the consecutive time windows overlap? radio preset:boolean amp_window_overlap_sig_tests_final amp_window_selection_data_driven_final == 2 37 1 1 Measurement 6 -Amplitude measurement - time window By how many milliseconds did they overlap? ms integer amp_window_overlap_length_sig_tests_final amp_window_selection_data_driven_final == 2 38 1 1 Measurement 6 -Amplitude measurement - time window How many consecutive significant tests were required to identify an effect? integer amp_window_no_sig_tests_final amp_window_selection_data_driven_final == 2 39 1 1 Measurement 6 -Amplitude measurement - time window How wide was the window around peak? ms float amp_window_peakwindow_length_final amp_window_selection_data_driven_final == 4 40 1 1 Measurement 6 -Amplitude measurement - time window Rationale for selecting this window length textarea amp_window_peakwindow_lengthrationale_final amp_window_selection_data_driven_final == 4 41 1 1 Measurement 6 -Amplitude measurement - time window Describe your method of selection of the final time window used to measure amplitude other than listed. textarea amp_window_other_final amp_window_selection_data_driven_final == 5 42 1 1 Measurement 6 -Amplitude measurement - time window Start of the window which was eventually used for amplitude measurement or where the effect was found. ms float amp_window_start_data_driven_final [1, 2, 3].includes(amp_time_window_selection) 43 1 1 Measurement 6 -Amplitude measurement - time window End of the window which was eventually used for amplitude measurement or where the effect was found. ms float amp_window_end_data_driven_final [1, 2, 3].includes(amp_time_window_selection) 44 1 1 Measurement 6 -Latency measurement - software Latency measurement software select preset:meeg_analysis_softwares lat_measure_software measure_type.includes(1) 45 1 1 Measurement 6 -Latency measurement - software Specify software version if applicable, and software name and version if "other" was selected. text lat_measure_software_details measure_type.includes(1) 46 1 1 Measurement 6 -Latency measurement - waveforms Latency was measured from: radio preset:waveform lat_measured_from measure_type.includes(1) 47 1 1 Measurement 6 -Latency measurement - waveforms Which conditions were subtracted from which? Specify how difference waves were constructed. textarea lat_difference_waves lat_measured_from == 1 48 1 1 Measurement 6 -Latency measurement - waveforms How did you calculate your waveforms for analysis? Describe in detail sufficient to allow replication. textarea lat_waveform_further_details [2, 3].includes(lat_measured_from) 49 1 1 Measurement 6 -Latency measurement - measure Describe the latency type. radio_multiple midpoint | onset | other lat_type measure_type.includes(1) 50 1 1 Measurement 6 -Latency measurement - measure How did you calculate the midpoint of this latency? radio simple peak | local peak | 50% area | other peak_lat_measure lat_type.includes(0) 51 1 1 Measurement 6 -Latency measurement - measure How did you calculate midpoint latency other than listed? textarea peak_lat_measure_other peak_lat_measure == 3 52 1 1 Measurement 6 -Latency measurement - measure How did you calculate the onset of this latency? Select procedure which was used for latency measurement in this time window and describe all details neccessary for replicating this procedure in Further clarification. radio preset:latency_measurement onset_lat_measure lat_type.includes(1) 53 1 1 Measurement 6 -Latency measurement - measure How broad were the windows that were consecutively tested? ms integer onset_lat_sig_tests_length onset_lat_measure == 2 54 1 1 Measurement 6 -Latency measurement - measure Did the consecutive time windows overlap? radio preset:boolean onset_lat_sig_tests_overlap onset_lat_measure == 2 55 1 1 Measurement 6 -Latency measurement - measure By how many milliseconds did they overlap? ms integer onset_lat_sig_tests_overlap_length onset_lat_measure == 2 56 1 1 Measurement 6 -Latency measurement - measure How many consecutive significant tests were required to identify an effect? integer onset_lat_sig_tests_no onset_lat_measure == 2 57 1 1 Measurement 6 -Latency measurement - measure What fraction of peak amplitude was used to determine onset latency? % integer onset_lat_peak_fraction onset_lat_measure == 3 58 1 1 Measurement 6 -Latency measurement - measure What fraction of window area was used to determine onset latency? % integer onset_lat_area_fraction onset_lat_measure == 4 59 1 1 Measurement 6 -Latency measurement - measure Describe your onset latency calculation procedure step by step. textarea onset_lat_describe [0, 1, 5].includes(onset_lat_measure) 60 1 1 Measurement 6 -Latency measurement - measure Describe your other latency calculation procedure step by step. textarea other_lat_describe lat_type.includes(2) 61 1 1 Measurement 6 -Latency measurement - time window Approach to selection of the window within which latency was located A priori: the window is selected in advance Data-driven: the measurement window is selected based on data obtained in the current study. Entire epoch: latency is identified based on the entire epoch instead of a narrower window (e.g., peak of the entire waveform). When you are making this decision, you may want to check out papers by Kriegskorte et al. (2009, https://doi.org/10.1038/nn.2303) or Gaspelin and Luck (2018, https://doi.org/10.1111/psyp.12639) on biases in time window and channel selection. radio a priori | data-driven | latency idenfied based on entire epoch | other lat_selection_approach measure_type.includes(1) 62 1 1 Measurement 6 -Latency measurement - time window Select the procedure which was used for latency measurement in this time window. radio The same as in previous literature | based on previous literature, but not exact replication | theory driven novel window selection | other lat_selection_approach_a_priori lat_selection_approach == 0 63 1 1 Measurement 6 -Latency measurement - time window Literature references, separated by semicolon and space textarea lat_literature_exact [0, 1].includes(lat_selection_approach_a_priori) 64 1 1 Measurement 6 -Latency measurement - time window Provide reasons for deviation or explan how the cited time windows were combined textarea lat_literature_similar lat_selection_approach_a_priori == 1 65 1 1 Measurement 6 -Latency measurement - time window Theory behind a-priori window selection (including implementation of regions, thresholds etc, and references if relevant) textarea lat_theory lat_selection_approach_a_priori == 2 66 1 1 Measurement 6 -Latency measurement - time window Describe your a-priori window selection process other than those listed textarea lat_selection_other_reasons lat_selection_approach_a_priori == 3 67 1 1 Measurement 6 -Latency measurement - time window Select the procedure which was used to identify start and end of the latency measurement time window. radio visual inspection of grand averages in separate conditions across participants | visual inspection of grand average collapsed across all conditions and participants | other lat_selection_approach_data_driven lat_selection_approach == 1 68 1 1 Measurement 6 -Latency measurement - time window Which waveforms/conditions did you inspect visually to select the time window for latency measurement? radio all conditions separately | all conditions collapsed into one average waveform | other lat_selection_approach_data_driven_visual [0,1].includes(lat_selection_approach_data_driven) 69 1 1 Measurement 6 -Latency measurement - time window Describe which conditions or combinations of conditions you used for visual inspection. textarea lat_selection_approach_data_driven_visual_details lat_selection_approach_data_driven_visual == 2 70 1 1 Measurement 6 -Latency measurement - time window Describe your method of selection of the latency measurement time window other than listed. textarea lat_selection_approach_data_driven_other lat_selection_approach_data_driven == 2 71 1 1 Measurement 6 -Latency measurement - time window Describe how you selected the latency measurement time window. textarea lat_further_clarification lat_selection_approach == 3 72 1 1 Measurement 6 -Latency measurement - time window Provide the start of the window which was used to measure latency. Measurement window: START ms float lat_measure_window_start [0, 1, 3].includes(lat_selection_approach) 73 1 1 Measurement 6 -Latency measurement - time window Provide the end of the window which was used to measure latency. Measurement window: END ms float lat_measure_window_end [0, 1, 3].includes(lat_selection_approach) 74 1 1 Measurement 6 \ No newline at end of file +Amplitude measurement - waveforms How were waveforms calculated for analysis? Describe in detail sufficient to allow replication. textarea waveform_further_details amp_measured_from > 1 7 1 1 Measurement 6 +Amplitude measurement - measure Select procedure(s) used for amplitude measurement in this time window. radio_multiple preset:amplitude_measurement amp_measure_procedure measure_type.includes(0) 8 1 1 Measurement 6 +Amplitude measurement - measure Was the peak negative or positive? radio negative | positive amp_measure_peak_positivity amp_measure_procedure.includes(1) 9 1 1 Measurement 6 +Amplitude measurement - measure What method was used for peak calculation? radio_multiple simple peak | local peak amp_measure_peak_method amp_measure_procedure.includes(1) 10 1 1 Measurement 6 +Amplitude measurement - measure Which window area measure was used? radio_multiple rectified | signed | integral window_area_measure_type amp_measure_procedure.includes(2) 11 1 1 Measurement 6 +Amplitude measurement - measure Describe the procedure for amplitude measurement calculation using factor scores. Description should be detailed enough for a reader to replicate the procedure. textarea amp_measure_factor_details amp_measure_procedure.includes(4) 12 1 1 Measurement 6 +Amplitude measurement - measure Describe the procedure(s) for amplitude measurement calculation for which you selected "other" (in detail sufficient for its replication). This is meant to describe procedure other than what has been offered in the Question "Select procedure(s) used for amplitude measurement in this time window". textarea amp_measure_other_details amp_measure_procedure.includes(5) 13 1 1 Measurement 6 +Amplitude measurement - time window How was the amplitude measurement window selected? e.g. for a priori - mean of a window decided in advance; e.g. visual inspection of an a priori decided range or window around a peak found in an a priori decided range; e.g., for data driven - mass uni analysis of the entire epoch, visual inspecion of the entire epoch or a vaguely defined (i.e. flexible) general time range. When you are making this decision, you may want to check out papers by Kriegskorte et al. (2009, https://doi.org/10.1038/nn.2303) or Gaspelin and Luck (2018, https://doi.org/10.1111/psyp.12639) on biases in time window and channel selection. radio a priori | data-driven selection/identification of the time window from the entire epoch | time window was selected/identified using data-driven methods from a broader window which was selected a priori | selection/identification of time window in two data driven steps (e.g. time window around a peak of a visually identified broader window) | other amp_time_window_selection measure_type.includes(0) 14 1 1 Measurement 6 +Amplitude measurement - time window Select the a priori procedure which was used for amplitude measurement in this time window. radio The same as in previous literature | based on previous literature, but not exact replication | theory driven novel window selection | other amp_window_selection_a_priori [0, 2].includes(amp_time_window_selection) 15 1 1 Measurement 6 +Amplitude measurement - time window Literature references, separated by semicolon and space textarea amp_literature_reference [0, 1].includes(amp_window_selection_a_priori) 16 1 1 Measurement 6 +Amplitude measurement - time window Provide reasons for deviation or explan how the cited time windows were combined textarea amp_literature_similar amp_window_selection_a_priori == 1 17 1 1 Measurement 6 +Amplitude measurement - time window Theory behind a-priori time window selection (including e.g., thresholds or references if relevant) textarea amp_theory amp_window_selection_a_priori == 2 18 1 1 Measurement 6 +Amplitude measurement - time window Describe a-priori time window selection process other than those listed textarea amp_selection_other_reasons amp_window_selection_a_priori == 3 19 1 1 Measurement 6 +Amplitude measurement - time window Start of the a priori selected time window for amplitude measurement ms float amp_measure_start_a_priori [0, 2].includes(amp_time_window_selection) 20 1 1 Measurement 6 +Amplitude measurement - time window End of the a priori selected time window for amplitude measurement ms float amp_measure_end_a_priori [0, 2].includes(amp_time_window_selection) 21 1 1 Measurement 6 +Amplitude measurement - time window Select the procedure which was used to identify start and end of the initial time window. vis. inspection across all conditions also known as flattened average approach, for more details see Gaspelin and Luck or https://doi.org/10.1371/journal.pcbi.1008286 radio visual inspection of waveforms (separate or collapsed conditions) | visual inspection of global field potentials | significant effects on consecutive time points/short windows | time window around a peak | other amp_window_selection_data_driven_broad amp_time_window_selection == 3 22 1 1 Measurement 6 +Amplitude measurement - time window Which waveforms/conditions were inspected visually to select the initial time window for this effect? radio all conditions separately | all conditions collapsed into one average waveform | other amp_window_selection_data_driven_broad_visual [0,1].includes(amp_window_selection_data_driven_broad) 23 1 1 Measurement 6 +Amplitude measurement - time window Describe which conditions or combinations of conditions were used for visual inspection. textarea amp_selection_data_driven_broad_visual_details amp_window_selection_data_driven_broad_visual == 2 24 1 1 Measurement 6 +Amplitude measurement - time window How broad were the windows that were consecutively tested? ms integer amp_window_length_sig_tests_broad amp_window_selection_data_driven_broad == 2 25 1 1 Measurement 6 +Amplitude measurement - time window Did the consecutive time windows overlap? radio preset:boolean amp_window_overlap_sig_tests_broad amp_window_selection_data_driven_broad == 2 26 1 1 Measurement 6 +Amplitude measurement - time window By how many milliseconds did they overlap? ms integer amp_window_overlap_length_sig_tests_broad amp_window_selection_data_driven_broad == 2 27 1 1 Measurement 6 +Amplitude measurement - time window How many consecutive significant tests were required to identify an effect? integer amp_window_no_sig_tests_broad amp_window_selection_data_driven_broad == 2 28 1 1 Measurement 6 +Amplitude measurement - time window How wide was the window around peak? ms float amp_window_peakwindow_length_broad amp_window_selection_data_driven_broad == 3 29 1 1 Measurement 6 +Amplitude measurement - time window Rationale for selecting this window length textarea amp_window_peakwindow_length_rationale_broad amp_window_selection_data_driven_broad == 3 30 1 1 Measurement 6 +Amplitude measurement - time window Describe method of selection of the initial time window used to measure amplitude other than listed. textarea amp_window_other_broad amp_window_selection_data_driven_broad == 4 31 1 1 Measurement 6 +Amplitude measurement - time window Start of the window which was used to provide broader borders for the final time window selection. ms float amp_window_start_data_driven_broad amp_time_window_selection == 3 32 1 1 Measurement 6 +Amplitude measurement - time window End of the window which was used to provide broader borders for the final time window selection. ms float amp_window_end_data_driven_broad amp_time_window_selection == 3 33 1 1 Measurement 6 +Amplitude measurement - time window Select the procedure which was used to identify start and end of the final time window. vis. inspection across all conditions also known as flattened average approach, for more details see Gaspelin and Luck or https://doi.org/10.1371/journal.pcbi.1008286 radio visual inspection of waveforms (separate or collapsed conditions) | visual inspection of global field potentials | significant effects on consecutive time points/short windows | time window around a peak | other amp_window_selection_data_driven_final [1, 2, 3].includes(amp_time_window_selection) 34 1 1 Measurement 6 +Amplitude measurement - time window Which waveforms/conditions were inspected visually to select the final time window for this effect? radio all conditions separately | all conditions collapsed into one average waveform | other amp_window_selection_data_driven_final_visual [0,1].includes(amp_window_selection_data_driven_final) 35 1 1 Measurement 6 +Amplitude measurement - time window Describe which conditions or combinations of conditions were used for visual inspection. textarea amp_selection_data_driven_final_visual_details amp_window_selection_data_driven_final_visual == 2 36 1 1 Measurement 6 +Amplitude measurement - time window How broad were the windows that were consecutively tested? ms integer amp_window_length_sig_tests_final amp_window_selection_data_driven_final == 2 37 1 1 Measurement 6 +Amplitude measurement - time window Did the consecutive time windows overlap? radio preset:boolean amp_window_overlap_sig_tests_final amp_window_selection_data_driven_final == 2 38 1 1 Measurement 6 +Amplitude measurement - time window By how many milliseconds did they overlap? ms integer amp_window_overlap_length_sig_tests_final amp_window_selection_data_driven_final == 2 39 1 1 Measurement 6 +Amplitude measurement - time window How many consecutive significant tests were required to identify an effect? integer amp_window_no_sig_tests_final amp_window_selection_data_driven_final == 2 40 1 1 Measurement 6 +Amplitude measurement - time window How wide was the window around peak? ms float amp_window_peakwindow_length_final amp_window_selection_data_driven_final == 4 41 1 1 Measurement 6 +Amplitude measurement - time window Rationale for selecting this window length textarea amp_window_peakwindow_lengthrationale_final amp_window_selection_data_driven_final == 4 42 1 1 Measurement 6 +Amplitude measurement - time window Describe method of selection of the final time window used to measure amplitude other than listed. textarea amp_window_other_final amp_window_selection_data_driven_final == 5 43 1 1 Measurement 6 +Amplitude measurement - time window Start of the window which was eventually used for amplitude measurement or where the effect was found. ms float amp_window_start_data_driven_final [1, 2, 3].includes(amp_time_window_selection) 44 1 1 Measurement 6 +Amplitude measurement - time window End of the window which was eventually used for amplitude measurement or where the effect was found. ms float amp_window_end_data_driven_final [1, 2, 3].includes(amp_time_window_selection) 45 1 1 Measurement 6 +Latency measurement - software Latency measurement software select preset:meeg_analysis_softwares lat_measure_software measure_type.includes(1) 46 1 1 Measurement 6 +Latency measurement - software Specify software version if applicable, script language if "custom script" was selected, and software name and version if "other" was selected. text lat_measure_software_details measure_type.includes(1) 47 1 1 Measurement 6 +Latency measurement - waveforms Latency was measured from: radio preset:waveform lat_measured_from measure_type.includes(1) 48 1 1 Measurement 6 +Latency measurement - waveforms Which conditions were subtracted from which? Specify how difference waves were constructed. textarea lat_difference_waves lat_measured_from == 1 49 1 1 Measurement 6 +Latency measurement - waveforms How were the waveforms used for analysis calculated? Describe in detail sufficient to allow replication. textarea lat_waveform_further_details [2, 3].includes(lat_measured_from) 50 1 1 Measurement 6 +Latency measurement - measure Latency type(s) radio_multiple midpoint | onset | other lat_type measure_type.includes(1) 51 1 1 Measurement 6 +Latency measurement - measure Midpoint latency measure(s) radio_multiple simple peak | local peak | 50% area | other peak_lat_measure lat_type.includes(0) 52 1 1 Measurement 6 +Latency measurement - measure How was midpoint latency calculated in a way other than listed? Describe in detail sufficient for a reader to replicate the procedure. textarea peak_lat_measure_other peak_lat_measure == 3 53 1 1 Measurement 6 +Latency measurement - measure Onset latency measure(s) radio_multiple preset:latency_measurement onset_lat_measure lat_type.includes(1) 54 1 1 Measurement 6 +Latency measurement - measure Describe how the onset latency was extrapolated from the waveform slope, step by step. Describe in detail sufficient for a reader to replicate the procedure. textarea onset_lat_extrapolation_describe onset_lat_measure.includes(0) 55 1 1 Measurement 6 +Latency measurement - measure Describe how it was determined when the difference is larger than chance and this information was used to pinpoint onset latency. Describe in detail sufficient for a reader to replicate the procedure. textarea onset_lat_chance_describe onset_lat_measure.includes(1) 56 1 1 Measurement 6 +Latency measurement - measure How broad were the windows that were consecutively tested? ms integer onset_lat_sig_tests_length onset_lat_measure.includes(2) 57 1 1 Measurement 6 +Latency measurement - measure Did the consecutive time windows overlap? radio preset:boolean onset_lat_sig_tests_overlap onset_lat_measure.includes(2) 58 1 1 Measurement 6 +Latency measurement - measure By how many milliseconds did they overlap? ms integer onset_lat_sig_tests_overlap_length onset_lat_measure.includes(2) 59 1 1 Measurement 6 +Latency measurement - measure How many consecutive significant tests were required to identify an effect? integer onset_lat_sig_tests_no onset_lat_measure.includes(2) 60 1 1 Measurement 6 +Latency measurement - measure What fraction of peak amplitude was used to determine onset latency? % integer onset_lat_peak_fraction onset_lat_measure.includes(3) 61 1 1 Measurement 6 +Latency measurement - measure What fraction of window area was used to determine onset latency? % integer onset_lat_area_fraction onset_lat_measure.includes(4) 62 1 1 Measurement 6 +Latency measurement - measure Describe onset latency calculation procedure for which you selected "other", step by step. Describe in detail sufficient for a reader to replicate the procedure. This question is visible because you selected "other" on Question "How did you calculate the onset of this latency?" textarea onset_lat_other_describe onset_lat_measure.includes(5) 63 1 1 Measurement 6 +Latency measurement - measure Describe calculation procedure other than midpoint or onset, step by step. Describe in detail sufficient for a reader to replicate the procedure. textarea other_lat_describe lat_type.includes(2) 64 1 1 Measurement 6 +Latency measurement - time window Approach to selection of the window within which latency was located A priori: the window is selected in advance Data-driven: the measurement window is selected based on data obtained in the current study. Entire epoch: latency is identified based on the entire epoch instead of a narrower window (e.g., peak of the entire waveform). When you are making this decision, you may want to check out papers by Kriegskorte et al. (2009, https://doi.org/10.1038/nn.2303) or Gaspelin and Luck (2018, https://doi.org/10.1111/psyp.12639) on biases in time window and channel selection. radio a priori | data-driven | latency idenfied based on entire epoch | other lat_selection_approach measure_type.includes(1) 65 1 1 Measurement 6 +Latency measurement - time window Select the procedure which was used for latency measurement in this time window. radio The same as in previous literature | based on previous literature, but not exact replication | theory driven novel window selection | other lat_selection_approach_a_priori lat_selection_approach == 0 66 1 1 Measurement 6 +Latency measurement - time window Literature references, separated by semicolon and space textarea lat_literature_exact [0, 1].includes(lat_selection_approach_a_priori) 67 1 1 Measurement 6 +Latency measurement - time window Provide reasons for deviation or explan how the cited time windows were combined textarea lat_literature_similar lat_selection_approach_a_priori == 1 68 1 1 Measurement 6 +Latency measurement - time window Theory behind a-priori window selection (including implementation of regions, thresholds etc, and references if relevant) textarea lat_theory lat_selection_approach_a_priori == 2 69 1 1 Measurement 6 +Latency measurement - time window Describe a-priori window selection process other than those listed textarea lat_selection_other_reasons lat_selection_approach_a_priori == 3 70 1 1 Measurement 6 +Latency measurement - time window Select the procedure which was used to identify start and end of the latency measurement time window. radio visual inspection of grand averages in separate conditions across participants | visual inspection of grand average collapsed across all conditions and participants | other lat_selection_approach_data_driven lat_selection_approach == 1 71 1 1 Measurement 6 +Latency measurement - time window Which waveforms/conditions were inspected visually to select the time window for latency measurement? radio all conditions separately | all conditions collapsed into one average waveform | other lat_selection_approach_data_driven_visual [0,1].includes(lat_selection_approach_data_driven) 72 1 1 Measurement 6 +Latency measurement - time window Describe which conditions or combinations of conditions were used for visual inspection. textarea lat_selection_approach_data_driven_visual_details lat_selection_approach_data_driven_visual == 2 73 1 1 Measurement 6 +Latency measurement - time window Describe method of selection of the latency measurement time window other than listed. textarea lat_selection_approach_data_driven_other lat_selection_approach_data_driven == 2 74 1 1 Measurement 6 +Latency measurement - time window Describe how the latency measurement time window was selected. textarea lat_further_clarification lat_selection_approach == 3 75 1 1 Measurement 6 +Latency measurement - time window Start of the window which was used to measure latency ms float lat_measure_window_start [0, 1, 3].includes(lat_selection_approach) 76 1 1 Measurement 6 +Latency measurement - time window End of the window which was used to measure latency ms float lat_measure_window_end [0, 1, 3].includes(lat_selection_approach) 77 1 1 Measurement 6 \ No newline at end of file diff --git a/inputs/tsv/preprocessing.tsv b/inputs/tsv/preprocessing.tsv index b6e96f8..8f01a1c 100644 --- a/inputs/tsv/preprocessing.tsv +++ b/inputs/tsv/preprocessing.tsv @@ -1,225 +1,108 @@ sub_section preamble question unit details field_type choices item_pref_label visibility item_order include mandatory activity_pref_label activity_order -Pre-processing general In this section, we will ask you about preprocessing decisions, such as analysis software, off-line filtering, re-referencing, artefact removal, epoching and baseline. NOTE: If you notice a bug, or have a suggestion, we'd be grateful if you posted an issue on GitHub: https://github.com/INCF/artem-is/ Did you use the same software for all pre-processing steps? Preprocessing steps are fitlering, downsampling, re-referencing, artifact removal, epoching and baseline correction, and other up to the point of data collection radio preset:boolean same_software 1 1 1 1 Preprocessing 5 -Pre-processing general Which software did you use? select preset:meeg_analysis_softwares preprocessing_software same_software == 1 2 1 1 Preprocessing 5 +Pre-processing general In this section, we will ask you about preprocessing decisions, such as analysis software, off-line filtering, re-referencing, artefact removal, epoching and baseline. NOTE: If you notice a bug, or have a suggestion, we'd be grateful if you posted an issue on GitHub: https://github.com/INCF/artem-is/ Was the same software used for all pre-processing steps? Preprocessing steps are fitlering, downsampling, re-referencing, artifact removal, epoching and baseline correction, and other up to the point of data collection. If you select YES here, you will be asked to provide the software information now, and if you select NO, you will be asked to specify software when describing each preprocessing step separately. radio preset:boolean same_software 1 1 1 1 Preprocessing 5 +Pre-processing general Which software was used for pre-processing? select preset:meeg_analysis_softwares preprocessing_software same_software == 1 2 1 1 Preprocessing 5 Pre-processing general Specify software version if applicable, script language if "custom script" was selected, and software name and version if "other" was selected. text preprocessing_software_details same_software == 1 3 1 1 Preprocessing 5 -Pre-processing automated pipelines Did you use an automated pre-processing pipeline which executes more than artifact removal decisions? For example, this automated pipeline may also include filtering, baseline correction, or re-referencing. radio preset:boolean preprocessing_pipeline 1 4 1 1 Preprocessing 5 -Pre-processing automated pipelines Which automated pre-processing pipeline did you use? select PREP (Bigdely-Shamlo et al., 2015) | HAPPE (Gabard-Durnam et al., 2018) | HAPPE+ER (Monachino et al., 2021) | EPOS (Rodrigues et al., 2021) | other preprocessing_pipeline_which preprocessing_pipeline == 1 5 1 1 Preprocessing 5 -Pre-processing automated pipelines Automated pre-processing pipeline you used other than listed text preprocessing_pipeline_other preprocessing_pipeline_which == 4 6 1 1 Preprocessing 5 -Pre-processing automated pipelines Reference for the automated pre-processing pipeline you applied. text preprocessing_pipeline_reference preprocessing_pipeline == 1 7 1 1 Preprocessing 5 +Pre-processing automated pipelines Was an automated pre-processing pipeline which executes more preprocessing steps (e.g., not only artifact removal) used? For example, this automated pipeline may also include filtering, baseline correction, or re-referencing. radio preset:boolean preprocessing_pipeline 1 4 1 1 Preprocessing 5 +Pre-processing automated pipelines Which automated pre-processing pipeline was used? select PREP (Bigdely-Shamlo et al., 2015) | HAPPE (Gabard-Durnam et al., 2018) | HAPPE+ER (Monachino et al., 2021) | EPOS (Rodrigues et al., 2021) | other preprocessing_pipeline_which preprocessing_pipeline == 1 5 1 1 Preprocessing 5 +Pre-processing automated pipelines Automated pre-processing pipeline that was used, other than listed text preprocessing_pipeline_other preprocessing_pipeline_which == 4 6 1 1 Preprocessing 5 +Pre-processing automated pipelines Reference for the automated pre-processing pipeline that was used text preprocessing_pipeline_reference preprocessing_pipeline == 1 7 1 1 Preprocessing 5 Pre-processing automated pipelines Version of the automated pre-processing pipeline, if applicable text preprocessing_pipeline_version preprocessing_pipeline == 1 8 1 1 Preprocessing 5 -Pre-processing automated pipelines Describe parameters and settings you used to run this automated pipeline, if applicable, and any potential adjustments to the pipeline you may have made manually. textarea preprocessing_pipeline_parameters preprocessing_pipeline == 1 9 1 1 Preprocessing 5 -Offline filters Did you apply any offline (digital) filters? This does not include filtering within automated pipelines, if you had applied any, or filtering only for visualization, and not analysis purposes. radio preset:boolean offline_filters 1 10 1 1 Preprocessing 5 -Offline filters Which offline filters did you apply? radio_multiple high pass | low pass | notch which_filters offline_filters == 1 11 1 1 Preprocessing 5 -Offline filters Which software do you use for implementing offline filters on EEG data? select preset:meeg_analysis_softwares filtering_software !which_filters.includes(3) && same_software == 0 12 1 1 Preprocessing 5 +Pre-processing automated pipelines Describe parameters and settings that were used to run this automated pipeline, if applicable, and any potential adjustments to the pipeline that may have been made manually. textarea preprocessing_pipeline_parameters preprocessing_pipeline == 1 9 1 1 Preprocessing 5 +Offline filters Were any offline (digital) filters applied? This does not include filtering within automated pipelines, if you had applied any, or filtering only for visualization, and not analysis purposes. radio preset:boolean offline_filters 1 10 1 1 Preprocessing 5 +Offline filters Which offline filters were applied? radio_multiple high pass | low pass | notch which_filters offline_filters == 1 11 1 1 Preprocessing 5 +Offline filters Which software was used for implementing offline filters on EEG data? select preset:meeg_analysis_softwares filtering_software !which_filters.includes(3) && same_software == 0 12 1 1 Preprocessing 5 Offline filters Specify software version if applicable, script language if "custom script" was selected, and software name and version if "other" was selected. text filter_software_details !which_filters.includes(3) && same_software == 0 13 1 1 Preprocessing 5 -Offline filters What kind of high-pass filter did you use? radio preset:filter offline_highpass_filter_type which_filters.includes(0) 14 1 1 Preprocessing 5 -Offline filters What was the length/order of the high-pass filter? float offline_highpass_filter_order which_filters.includes(0) 15 1 1 Preprocessing 5 -Offline filters Type of high-pass filter cut-off radio half-power | half-amplitude offline_highpass_filter_unit which_filters.includes(0) 16 1 1 Preprocessing 5 -Offline filters Specify the offline high-pass filter cut-off. Hz float offline_highpass_filter_cutoff which_filters.includes(0) 17 1 1 Preprocessing 5 -Offline filters Specify the offline high-pass filter roll off. dB/octave float offline_highpass_filter_rolloff which_filters.includes(0) 18 1 1 Preprocessing 5 -Offline filters What is the attenuation achieved in the stopband after high-pass filtering? dB float offline_highpass_filter_attenuation which_filters.includes(0) 19 1 1 Preprocessing 5 -Offline filters What was the direction of the high-pass filter? radio forwards | backwards | forwards and backwards offline_highpass_filter_direction which_filters.includes(0) 20 1 1 Preprocessing 5 -Offline filters What kind of low-pass filter did you use? radio preset:filter offline_lowpass_filter_type which_filters.includes(1) 21 1 1 Preprocessing 5 -Offline filters What was the length/order of the low-pass filter? float offline_lowpass_filter_order which_filters.includes(1) 22 1 1 Preprocessing 5 -Offline filters Type of high-pass filter cut-off radio half-power | half-amplitude offline_lowpass_filter_unit which_filters.includes(1) 23 1 1 Preprocessing 5 -Offline filters Specify the offline low-pass filter cut-off. Hz float offline_lowpass_filter_cutoff which_filters.includes(1) 24 1 1 Preprocessing 5 -Offline filters Specify the offline low-pass filter roll off. dB/octave float offline_lowpass_filter_rolloff which_filters.includes(1) 25 1 1 Preprocessing 5 -Offline filters What is the attenuation achieved in the stopband after low-pass filtering? dB float offline_lowpass_filter_attenuation which_filters.includes(1) 26 1 1 Preprocessing 5 -Offline filters What was the direction of the low-pass filter? radio forwards | backwards | forwards and backwards offline_lowpass_filter_direction which_filters.includes(1) 27 1 1 Preprocessing 5 -Offline filters What notch filter have you applied after the recording? radio 50 Hz | 60 Hz | other offline_notch_filter_type which_filters.includes(2) 28 1 1 Preprocessing 5 -Offline filters Describe the stopband frequency of the notch filter you applied text offline_notch_filter_type_details offline_notch_filter_type == 2 29 1 1 Preprocessing 5 -Downsampling Did you downsample your data? radio preset:boolean downsample_data 1 30 1 1 Preprocessing 5 -Downsampling What software did you use for downsampling? select preset:meeg_analysis_softwares downsample_software downsample_data == 1 && same_software == 0 31 1 1 Preprocessing 5 -Downsampling Specify software version if applicable, script language if "custom script" was selected and software name and version if "other" was selected. text downsample_software_details downsample_data == 1 && same_software == 0 32 1 1 Preprocessing 5 -Downsampling If yes, what was your new sampling frequency? Hz float new_sampling_frequency downsample_data == 1 33 1 1 Preprocessing 5 -Re-referencing Did you re-reference offline? This does not include re-referencing within automated pipelines, if you had applied any. radio preset:boolean offline_reference 1 34 1 1 Preprocessing 5 -Re-referencing Which analysis software do you use for re-referencing on EEG data? select preset:meeg_analysis_softwares rereference_software offline_reference == 1 && same_software == 0 35 1 1 Preprocessing 5 -Re-referencing Specify software version if applicable, script language if "custom script" was selected, and software name and version if "other" was selected. text rereference_software_details offline_reference == 1 && same_software == 0 36 1 1 Preprocessing 5 -Re-referencing What was the new reference? radio average mastoids | average earlobes | average of all scalp electrodes | reference electrode standardization technique (REST, Yao, 2001) | Cz | other new_reference offline_reference == 1 37 1 1 Preprocessing 5 -Re-referencing New reference other than listed text new_reference_other new_reference == 5 38 1 1 Preprocessing 5 -Artifacts How many artifact elimination steps did you have? This section refers to artifact removal (correction, rejection) methods other than elimating participants from the sample, which should be described in the Experimental design and sample section. This section should not include artifact removal within automated pipelines already described above. integer artifact_steps_number 1 39 1 1 Preprocessing 5 -Artifacts What action did you take regarding artifacts in step 1? radio reject bad trial or bad data segment on all channels | correct by subtraction (blinks, EKG etc.) | reject channels | interpolate channels | multi-step automated approach (e.g., FASTER) artifact_1 artifact_steps_number >= 1 40 1 1 Preprocessing 5 -Artifacts What software did you use for artifact removal in step 1? select preset:meeg_analysis_softwares artifact_1_software artifact_steps_number >= 1 && same_software == 0 41 1 1 Preprocessing 5 -Artifacts Specify software version if applicable, script language if "custom script" was selected and software name and version if "other" was selected. text artifact_1_software_details artifact_steps_number >= 1&& same_software == 0 42 1 1 Preprocessing 5 -Artifacts Did you reject trials or segments of continuous data in step 1? radio trials | data segments artifact_1_reject_what artifact_steps_number >= 1 && artifact_1 == 0 43 1 1 Preprocessing 5 -Artifacts How did you define your artifacts in step 1? radio visual inspection | pre-set numerical criterion/function | other artifact_1_reject_method artifact_steps_number >= 1 && artifact_1 == 0 44 1 1 Preprocessing 5 -Artifacts Which artifacts did you remove using visual inspection in step 1? select_multiple blinks | saccades | other occular | cardiac | motion and other EMG noise | alpha waves | line noise | other artifact_1_reject_visual artifact_steps_number >= 1 && artifact_1_reject_method == 0 45 1 1 Preprocessing 5 -Artifacts Which other artifacts did you remove visually? text artifact_1_reject_visual_other artifact_1_reject_visual.includes(7) 46 1 1 Preprocessing 5 -Artifacts Describe your numerical criterion/function and provide numerical threshold(s) in step 1. text artifact_1_reject_numerical artifact_steps_number >= 1 && artifact_1_reject_method == 1 47 1 1 Preprocessing 5 -Artifacts Describe your method of artifact rejection other than visual inspection or numerical criterion/function. Make sure that there is enough detail for a replication attempt. text artifact_1_reject_other artifact_steps_number >= 1 && artifact_1_reject_method == 2 48 1 1 Preprocessing 5 -Artifacts Which general method of artifact correction did you use in step 1? select regression-based approach (e.g., Gratton et al., 1983, Elbert et al., 1985) | spatial-filter-based approach (e.g., Dale, 1994) | ICA-based approaches | wavelet-based | wavelet-enhanced ICA (e.g., Khushaba et al, 2013) | multiple-source-analysis-based approaches (e.g., MSEC by Berg & Scherg, 1994) | other artifact_1_correct_method artifact_steps_number >= 1 && artifact_1 == 1 49 1 1 Preprocessing 5 -Artifacts Reference to the artifact correction algorithm used in step 1 text artifact_1_correct_reference artifact_steps_number >= 1 && artifact_1 == 1 50 1 1 Preprocessing 5 -Artifacts Describe artifact correction parameters in detail sufficient for replication. For example, provide numerical parameters, options selected, or describe decision-making process as closely as possible if manual, visual-inspection based decisions were involved. textarea artifact_1_correct_details artifact_steps_number >= 1 && artifact_1 == 1 51 1 1 Preprocessing 5 -Artifacts From which data did you eliminate bad channels in step 1? radio from individual trials | from segments of continuous data | from the entire recording of a participant artifact_1_remove_electrode_where artifact_steps_number >= 1 && artifact_1 == 2 52 1 1 Preprocessing 5 -Artifacts Did you have any channels that were eliminated for all participants? radio preset:boolean 53 5 -Artifacts List of channels eliminated in step 1 for all participants, separated by a semicolon and a space. text artifact_1_remove_electrode_everyone_list artifact_steps_number >= 1 && artifact_1 == 2 && artifact_1_remove_electrode_where ==2 54 1 1 Preprocessing 5 -Artifacts Percentage of channels eliminated per participant on average in step 1 float artifact_1_remove_electrode_percent artifact_steps_number >= 1 && artifact_1 == 2 && artifact_1_remove_electrode_where ==2 55 1 1 Preprocessing 5 -Artifacts What was the criterion for eliminating bad channels in step 1? radio visual inspection | pre-set numerical criterion/function | other artifact_1_remove_electrode_method artifact_steps_number >= 1 && artifact_1 == 2 56 1 1 Preprocessing 5 -Artifacts Why did you remove bad electrodes in step 1? select_multiple excessive line noise | excessive muscle activity | bad contact and other large fluctations in voltage | dead electrode | excessive EMG noise | cardiac activity | other artifact_1_remove_electrode_visual artifact_steps_number >= 1 && artifact_1_remove_electrode_method == 0 57 1 1 Preprocessing 5 -Artifacts Which other reasons did you have for eliminating bad electrodes visually in step 1? text artifact_1_remove_electrode_visual_other artifact_steps_number >= 1 && artifact_1_remove_electrode_visual == 6 58 1 1 Preprocessing 5 -Artifacts Describe your numerical criterion/function for eliminating electrodes and provide numerical threshold(s) in step 1. text artifact_1_remove_electrode_numerical artifact_steps_number >= 1 && artifact_1_remove_electrode_method == 1 59 1 1 Preprocessing 5 -Artifacts Describe your method of electrode rejection other than visual inspection or numerical criterion/function. Make sure that there is enough detail for a replication attempt. text artifact_1_remove_electrode_other artifact_steps_number >= 1 && artifact_1_remove_electrode_method == 2 60 1 1 Preprocessing 5 -Artifacts How did you select channels for interpolation in step 1? Describe the numerical threshold or function used to define which channels should be interpolated. textarea artifact_1_interpolate_which artifact_steps_number >= 1 && artifact_1 == 3 61 1 1 Preprocessing 5 -Artifacts Describe interpolation function and the settings you used in step 1. Provide appropriate details and settings, as well as a reference, if appropriate. textarea artifact_1_interpolate_how artifact_steps_number >= 1 && artifact_1 == 3 62 1 1 Preprocessing 5 -Artifacts Reference to the automated artifact removal algorithm used in step 1 text artifact_1_automated_reference artifact_steps_number >= 1 && artifact_1 == 4 63 1 1 Preprocessing 5 -Artifacts Describe automated artifact removal parameters in detail sufficient for replication. For example, provide numerical parameters, options selected, or describe decision-making process as closely as possible if manual, visual-inspection based decisions were involved. textarea artifact_1_automated_parameters artifact_steps_number >= 1 && artifact_1 == 4 64 1 1 Preprocessing 5 -Artifacts What action did you take regarding artifacts in step 2? radio reject bad trial or bad data segment | correct by subtraction (blinks, EKG etc.) | reject channels | interpolate channels | multi-step automated approach (e.g., FASTER) artifact_2 artifact_steps_number >= 2 65 1 1 Preprocessing 5 -Artifacts What software did you use for artifact removal in step 2? select preset:meeg_analysis_softwares artifact_2_software artifact_steps_number >= 2 && same_software == 0 66 1 1 Preprocessing 5 -Artifacts Specify software version if applicable, script language if "custom script" was selected and software name and version if "other" was selected. text artifact_2_software_details artifact_steps_number >= 2&& same_software == 0 67 1 1 Preprocessing 5 -Artifacts Did you reject trials or segments of continuous data in step 2? radio trials | data segments artifact_2_reject_what artifact_steps_number >= 2 && artifact_2 == 0 68 1 1 Preprocessing 5 -Artifacts How did you define your artifacts in step 2? radio visual inspection | pre-set numerical criterion/function | other artifact_2_reject_method artifact_steps_number >= 2 && artifact_2 == 0 69 1 1 Preprocessing 5 -Artifacts Which artifacts did you remove using visual inspection in step 2? select_multiple blinks | saccades | other occular | cardiac | motion and other EMG noise | alpha waves | line noise | other artifact_2_reject_visual artifact_steps_number >= 2 && artifact_2_reject_method == 0 70 1 1 Preprocessing 5 -Artifacts Which other artifacts did you remove visually? text artifact_2_reject_visual_other artifact_2_reject_visual.includes(7) 71 1 1 Preprocessing 5 -Artifacts Describe your numerical criterion/function and provide numerical threshold(s) in step 2. text artifact_2_reject_numerical artifact_steps_number >= 2 && artifact_2_reject_method == 1 72 1 1 Preprocessing 5 -Artifacts Describe your method of artifact rejection other than visual inspection or numerical criterion/function. Make sure that there is enough detail for a replication attempt. text artifact_2_reject_other artifact_steps_number >= 2 && artifact_2_reject_method == 2 73 1 1 Preprocessing 5 -Artifacts Which general method of artifact correction did you use in step 2? select regression-based approach (e.g., Gratton et al., 1983, Elbert et al., 1985) | spatial-filter-based approach (e.g., Dale, 1994) | ICA-based approaches | wavelet-based | wavelet-enhanced ICA (e.g., Khushaba et al, 2013) | multiple-source-analysis-based approaches (e.g., MSEC by Berg & Scherg, 1994) | other artifact_2_correct_method artifact_steps_number >= 2 && artifact_2 == 1 74 1 1 Preprocessing 5 -Artifacts Reference to the artifact correction algorithm used in step 2 text artifact_2_correct_reference artifact_steps_number >= 2 && artifact_2 == 1 75 1 1 Preprocessing 5 -Artifacts Describe artifact correction parameters in detail sufficient for replication. For example, provide numerical parameters, options selected, or describe decision-making process as closely as possible if manual, visual-inspection based decisions were involved. textarea artifact_2_correct_details artifact_steps_number >= 2 && artifact_2 == 1 76 1 1 Preprocessing 5 -Artifacts From which data did you eliminate bad channels in step 2? radio from individual trials | from segments of continuous data | from the entire recording artifact_2_remove_electrode_where artifact_steps_number >= 2 && artifact_2 == 2 77 1 1 Preprocessing 5 -Artifacts List of channels eliminated in step 2 for all participants, separated by a semicolon and a space. text artifact_2_remove_electrode_everyone_list artifact_steps_number >= 1 && artifact_2 == 2 && artifact_2_remove_electrode_where ==2 78 1 1 Preprocessing 5 -Artifacts Percentage of channels eliminated per participant on average in step 2 float artifact_2_remove_electrode_percent artifact_steps_number >= 1 && artifact_2 == 2 && artifact_2_remove_electrode_where ==2 79 1 1 Preprocessing 5 -Artifacts What was the criterion for eliminating bad channels in step 2? radio visual inspection | pre-set numerical criterion/function | other artifact_2_remove_electrode_method artifact_steps_number >= 2 && artifact_2 == 2 80 1 1 Preprocessing 5 -Artifacts Why did you remove bad electrodes in step 2? select_multiple excessive line noise | excessive muscle activity | bad contact and other large fluctations in voltage | dead electrode | excessive EMG noise | cardiac activity | other artifact_2_remove_electrode_visual artifact_steps_number >= 2 && artifact_2_remove_electrode_method == 0 81 1 1 Preprocessing 5 -Artifacts Which other reasons did you have for eliminating bad electrodes visually in step 2? text artifact_2_remove_electrode_visual_other artifact_steps_number >= 2 && artifact_2_remove_electrode_visual == 6 82 1 1 Preprocessing 5 -Artifacts Describe your numerical criterion/function for eliminating electrodes and provide numerical threshold(s) in step 2. text artifact_2_remove_electrode_numerical artifact_steps_number >= 2 && artifact_2_remove_electrode_method == 1 83 1 1 Preprocessing 5 -Artifacts Describe your method of electrode rejection other than visual inspection or numerical criterion/function. Make sure that there is enough detail for a replication attempt. text artifact_2_remove_electrode_other artifact_steps_number >= 2 && artifact_2_remove_electrode_method == 2 84 1 1 Preprocessing 5 -Artifacts How did you select channels for interpolation in step 2? Describe the numerical threshold or function used to define which channels should be interpolated. textarea artifact_2_interpolate_which artifact_steps_number >= 2 && artifact_2 == 3 85 1 1 Preprocessing 5 -Artifacts Describe interpolation function and the settings you used in step 2. Provide appropriate details and settings, as well as a reference, if appropriate. textarea artifact_2_interpolate_how artifact_steps_number >= 2 && artifact_2 == 3 86 1 1 Preprocessing 5 -Artifacts Reference to the automated artifact removal algorithm used in step 2 text artifact_2_automated_reference artifact_steps_number >= 2 && artifact_2 == 4 87 1 1 Preprocessing 5 -Artifacts Describe automated artifact removal parameters in detail sufficient for replication. For example, provide numerical parameters, options selected, or describe decision-making process as closely as possible if manual, visual-inspection based decisions were involved. textarea artifact_2_automated_parameters artifact_steps_number >= 2 && artifact_2 == 4 88 1 1 Preprocessing 5 -Artifacts What action did you take regarding artifacts in step 3? radio reject bad trial or bad data segment | correct by subtraction (blinks, EKG etc.) | reject channels | interpolate channels | multi-step automated approach (e.g., FASTER) artifact_3 artifact_steps_number >= 3 89 1 1 Preprocessing 5 -Artifacts What software did you use for artifact removal in step 3? select preset:meeg_analysis_softwares artifact_3_software artifact_steps_number >= 3 && same_software == 0 90 1 1 Preprocessing 5 -Artifacts Specify software version if applicable, script language if "custom script" was selected and software name and version if "other" was selected. text artifact_3_software_details artifact_steps_number >= 3&& same_software == 0 91 1 1 Preprocessing 5 -Artifacts Did you reject trials or segments of continuous data in step 3? radio trials | data segments artifact_3_reject_what artifact_steps_number >= 3 && artifact_3 == 0 92 1 1 Preprocessing 5 -Artifacts How did you define your artifacts in step 3? radio visual inspection | pre-set numerical criterion/function | other artifact_3_reject_method artifact_steps_number >= 3 && artifact_3 == 0 93 1 1 Preprocessing 5 -Artifacts Which artifacts did you remove using visual inspection in step 3? select_multiple blinks | saccades | other occular | cardiac | motion and other EMG noise | alpha waves | line noise | other artifact_3_reject_visual artifact_steps_number >= 3 && artifact_3_reject_method == 0 94 1 1 Preprocessing 5 -Artifacts Which other artifacts did you remove visually? text artifact_3_reject_visual_other artifact_3_reject_visual.includes(7) 95 1 1 Preprocessing 5 -Artifacts Describe your numerical criterion/function and provide numerical threshold(s) in step 3. text artifact_3_reject_numerical artifact_steps_number >= 3 && artifact_3_reject_method == 1 96 1 1 Preprocessing 5 -Artifacts Describe your method of artifact rejection other than visual inspection or numerical criterion/function. Make sure that there is enough detail for a replication attempt. text artifact_3_reject_other artifact_steps_number >= 3 && artifact_3_reject_method == 2 97 1 1 Preprocessing 5 -Artifacts Which general method of artifact correction did you use in step 3? select regression-based approach (e.g., Gratton et al., 1983, Elbert et al., 1985) | spatial-filter-based approach (e.g., Dale, 1994) | ICA-based approaches | wavelet-based | wavelet-enhanced ICA (e.g., Khushaba et al, 2013) | multiple-source-analysis-based approaches (e.g., MSEC by Berg & Scherg, 1994) | other artifact_3_correct_method artifact_steps_number >= 3 && artifact_3 == 1 98 1 1 Preprocessing 5 -Artifacts Reference to the artifact correction algorithm used in step 3 text artifact_3_correct_reference artifact_steps_number >= 3 && artifact_3 == 1 99 1 1 Preprocessing 5 -Artifacts Describe artifact correction parameters in detail sufficient for replication. For example, provide numerical parameters, options selected, or describe decision-making process as closely as possible if manual, visual-inspection based decisions were involved. textarea artifact_3_correct_details artifact_steps_number >= 3 && artifact_3 == 1 100 1 1 Preprocessing 5 -Artifacts From which data did you eliminate bad channels in step 3? radio from individual trials | from segments of continuous data | from the entire recording artifact_3_remove_electrode_where artifact_steps_number >= 3 && artifact_3 == 2 101 1 1 Preprocessing 5 -Artifacts List of channels eliminated in step 3 for all participants, separated by a semicolon and a space. text artifact_3_remove_electrode_everyone_list artifact_steps_number >= 1 && artifact_3 == 2 && artifact_3_remove_electrode_where ==2 102 1 1 Preprocessing 5 -Artifacts Percentage of channels eliminated per participant on average in step 3 float artifact_3_remove_electrode_percent artifact_steps_number >= 1 && artifact_3 == 2 && artifact_3_remove_electrode_where ==2 103 1 1 Preprocessing 5 -Artifacts What was the criterion for eliminating bad channels in step 3? radio visual inspection | pre-set numerical criterion/function | other artifact_3_remove_electrode_method artifact_steps_number >= 3 && artifact_3 == 2 104 1 1 Preprocessing 5 -Artifacts Why did you remove bad electrodes in step 3? select_multiple excessive line noise | excessive muscle activity | bad contact and other large fluctations in voltage | dead electrode | excessive EMG noise | cardiac activity | other artifact_3_remove_electrode_visual artifact_steps_number >= 3 && artifact_3_remove_electrode_method == 0 105 1 1 Preprocessing 5 -Artifacts Which other reasons did you have for eliminating bad electrodes visually in step 3? text artifact_3_remove_electrode_visual_other artifact_steps_number >= 3 && artifact_3_remove_electrode_visual == 6 106 1 1 Preprocessing 5 -Artifacts Describe your numerical criterion/function for eliminating electrodes and provide numerical threshold(s) in step 3. text artifact_3_remove_electrode_numerical artifact_steps_number >= 3 && artifact_3_remove_electrode_method == 1 107 1 1 Preprocessing 5 -Artifacts Describe your method of electrode rejection other than visual inspection or numerical criterion/function. Make sure that there is enough detail for a replication attempt. text artifact_3_remove_electrode_other artifact_steps_number >= 3 && artifact_3_remove_electrode_method == 2 108 1 1 Preprocessing 5 -Artifacts How did you select channels for interpolation in step 3? Describe the numerical threshold or function used to define which channels should be interpolated. textarea artifact_3_interpolate_which artifact_steps_number >= 3 && artifact_3 == 3 109 1 1 Preprocessing 5 -Artifacts Describe interpolation function and the settings you used in step 3. Provide appropriate details and settings, as well as a reference, if appropriate. textarea artifact_3_interpolate_how artifact_steps_number >= 3 && artifact_3 == 3 110 1 1 Preprocessing 5 -Artifacts Reference to the automated artifact removal algorithm used in step 3 text artifact_3_automated_reference artifact_steps_number >= 3 && artifact_3 == 4 111 1 1 Preprocessing 5 -Artifacts Describe automated artifact removal parameters in detail sufficient for replication. For example, provide numerical parameters, options selected, or describe decision-making process as closely as possible if manual, visual-inspection based decisions were involved. textarea artifact_3_automated_parameters artifact_steps_number >= 3 && artifact_3 == 4 112 1 1 Preprocessing 5 -Artifacts What action did you take regarding artifacts in step 4? radio reject bad trial or bad data segment | correct by subtraction (blinks, EKG etc.) | reject channels | interpolate channels | multi-step automated approach (e.g., FASTER) artifact_4 artifact_steps_number >= 4 113 1 1 Preprocessing 5 -Artifacts What software did you use for artifact removal in step 4? select preset:meeg_analysis_softwares artifact_4_software artifact_steps_number >= 4 && same_software == 0 114 1 1 Preprocessing 5 -Artifacts Specify software version if applicable, script language if "custom script" was selected and software name and version if "other" was selected. text artifact_4_software_details artifact_steps_number >= 4&& same_software == 0 115 1 1 Preprocessing 5 -Artifacts Did you reject trials or segments of continuous data in step 4? radio trials | data segments artifact_4_reject_what artifact_steps_number >= 4 && artifact_4 == 0 116 1 1 Preprocessing 5 -Artifacts How did you define your artifacts in step 4? radio visual inspection | pre-set numerical criterion/function | other artifact_4_reject_method artifact_steps_number >= 4 && artifact_4 == 0 117 1 1 Preprocessing 5 -Artifacts Which artifacts did you remove using visual inspection in step 4? select_multiple blinks | saccades | other occular | cardiac | motion and other EMG noise | alpha waves | line noise | other artifact_4_reject_visual artifact_steps_number >= 4 && artifact_4_reject_method == 0 118 1 1 Preprocessing 5 -Artifacts Which other artifacts did you remove visually? text artifact_4_reject_visual_other artifact_4_reject_visual.includes(7) 119 1 1 Preprocessing 5 -Artifacts Describe your numerical criterion/function and provide numerical threshold(s) in step 4. text artifact_4_reject_numerical artifact_steps_number >= 4 && artifact_4_reject_method == 1 120 1 1 Preprocessing 5 -Artifacts Describe your method of artifact rejection other than visual inspection or numerical criterion/function. Make sure that there is enough detail for a replication attempt. text artifact_4_reject_other artifact_steps_number >= 4 && artifact_4_reject_method == 2 121 1 1 Preprocessing 5 -Artifacts Which general method of artifact correction did you use in step 4? select regression-based approach (e.g., Gratton et al., 1983, Elbert et al., 1985) | spatial-filter-based approach (e.g., Dale, 1994) | ICA-based approaches | wavelet-based | wavelet-enhanced ICA (e.g., Khushaba et al, 2013) | multiple-source-analysis-based approaches (e.g., MSEC by Berg & Scherg, 1994) | other artifact_4_correct_method artifact_steps_number >= 4 && artifact_4 == 1 122 1 1 Preprocessing 5 -Artifacts Reference to the artifact correction algorithm used in step 4 text artifact_4_correct_reference artifact_steps_number >= 4 && artifact_4 == 1 123 1 1 Preprocessing 5 -Artifacts Describe artifact correction parameters in detail sufficient for replication. For example, provide numerical parameters, options selected, or describe decision-making process as closely as possible if manual, visual-inspection based decisions were involved. textarea artifact_4_correct_details artifact_steps_number >= 4 && artifact_4 == 1 124 1 1 Preprocessing 5 -Artifacts From which data did you eliminate bad channels in step 4? radio from individual trials | from segments of continuous data | from the entire recording artifact_4_remove_electrode_where artifact_steps_number >= 4 && artifact_4 == 2 125 1 1 Preprocessing 5 -Artifacts List of channels eliminated in step 4 for all participants, separated by a semicolon and a space. text artifact_4_remove_electrode_everyone_list artifact_steps_number >= 1 && artifact_4 == 2 && artifact_4_remove_electrode_where ==2 126 1 1 Preprocessing 5 -Artifacts Percentage of channels eliminated per participant on average in step 4 float artifact_4_remove_electrode_percent artifact_steps_number >= 1 && artifact_4 == 2 && artifact_4_remove_electrode_where ==2 127 1 1 Preprocessing 5 -Artifacts What was the criterion for eliminating bad channels in step 4? radio visual inspection | pre-set numerical criterion/function | other artifact_4_remove_electrode_method artifact_steps_number >= 4 && artifact_4 == 2 128 1 1 Preprocessing 5 -Artifacts Why did you remove bad electrodes in step 4? select_multiple excessive line noise | excessive muscle activity | bad contact and other large fluctations in voltage | dead electrode | excessive EMG noise | cardiac activity | other artifact_4_remove_electrode_visual artifact_steps_number >= 4 && artifact_4_remove_electrode_method == 0 129 1 1 Preprocessing 5 -Artifacts Which other reasons did you have for eliminating bad electrodes visually in step 4? text artifact_4_remove_electrode_visual_other artifact_steps_number >= 4 && artifact_4_remove_electrode_visual == 6 130 1 1 Preprocessing 5 -Artifacts Describe your numerical criterion/function for eliminating electrodes and provide numerical threshold(s) in step 4. text artifact_4_remove_electrode_numerical artifact_steps_number >= 4 && artifact_4_remove_electrode_method == 1 131 1 1 Preprocessing 5 -Artifacts Describe your method of electrode rejection other than visual inspection or numerical criterion/function. Make sure that there is enough detail for a replication attempt. text artifact_4_remove_electrode_other artifact_steps_number >= 4 && artifact_4_remove_electrode_method == 2 132 1 1 Preprocessing 5 -Artifacts How did you select channels for interpolation in step 4? Describe the numerical threshold or function used to define which channels should be interpolated. textarea artifact_4_interpolate_which artifact_steps_number >= 4 && artifact_4 == 3 133 1 1 Preprocessing 5 -Artifacts Describe interpolation function and the settings you used in step 4. Provide appropriate details and settings, as well as a reference, if appropriate. textarea artifact_4_interpolate_how artifact_steps_number >= 4 && artifact_4 == 3 134 1 1 Preprocessing 5 -Artifacts Reference to the automated artifact removal algorithm used in step 4 text artifact_4_automated_reference artifact_steps_number >= 4 && artifact_4 == 4 135 1 1 Preprocessing 5 -Artifacts Describe automated artifact removal parameters in detail sufficient for replication. For example, provide numerical parameters, options selected, or describe decision-making process as closely as possible if manual, visual-inspection based decisions were involved. textarea artifact_4_automated_parameters artifact_steps_number >= 4 && artifact_4 == 4 136 1 1 Preprocessing 5 -Artifacts What action did you take regarding artifacts in step 5? radio reject bad trial or bad data segment | correct by subtraction (blinks, EKG etc.) | reject channels | interpolate channels | multi-step automated approach (e.g., FASTER) artifact_5 artifact_steps_number >= 5 137 1 1 Preprocessing 5 -Artifacts What software did you use for artifact removal in step 5? select preset:meeg_analysis_softwares artifact_5_software artifact_steps_number >= 5 && same_software == 0 138 1 1 Preprocessing 5 -Artifacts Specify software version if applicable, script language if "custom script" was selected and software name and version if "other" was selected. text artifact_5_software_details artifact_steps_number >= 5&& same_software == 0 139 1 1 Preprocessing 5 -Artifacts Did you reject trials or segments of continuous data in step 5? radio trials | data segments artifact_5_reject_what artifact_steps_number >= 5 && artifact_5 == 0 140 1 1 Preprocessing 5 -Artifacts How did you define your artifacts in step 5? radio visual inspection | pre-set numerical criterion/function | other artifact_5_reject_method artifact_steps_number >= 5 && artifact_5 == 0 141 1 1 Preprocessing 5 -Artifacts Which artifacts did you remove using visual inspection in step 5? select_multiple blinks | saccades | other occular | cardiac | motion and other EMG noise | alpha waves | line noise | other artifact_5_reject_visual artifact_steps_number >= 5 && artifact_5_reject_method == 0 142 1 1 Preprocessing 5 -Artifacts Which other artifacts did you remove visually? text artifact_5_reject_visual_other artifact_5_reject_visual.includes(7) 143 1 1 Preprocessing 5 -Artifacts Describe your numerical criterion/function and provide numerical threshold(s) in step 5. text artifact_5_reject_numerical artifact_steps_number >= 5 && artifact_5_reject_method == 1 144 1 1 Preprocessing 5 -Artifacts Describe your method of artifact rejection other than visual inspection or numerical criterion/function. Make sure that there is enough detail for a replication attempt. text artifact_5_reject_other artifact_steps_number >= 5 && artifact_5_reject_method == 2 145 1 1 Preprocessing 5 -Artifacts Which general method of artifact correction did you use in step 5? select regression-based approach (e.g., Gratton et al., 1983, Elbert et al., 1985) | spatial-filter-based approach (e.g., Dale, 1994) | ICA-based approaches | wavelet-based | wavelet-enhanced ICA (e.g., Khushaba et al, 2013) | multiple-source-analysis-based approaches (e.g., MSEC by Berg & Scherg, 1994) | other artifact_5_correct_method artifact_steps_number >= 5 && artifact_5 == 1 146 1 1 Preprocessing 5 -Artifacts Reference to the artifact correction algorithm used in step 5 text artifact_5_correct_reference artifact_steps_number >= 5 && artifact_5 == 1 147 1 1 Preprocessing 5 -Artifacts Describe artifact correction parameters in detail sufficient for replication. For example, provide numerical parameters, options selected, or describe decision-making process as closely as possible if manual, visual-inspection based decisions were involved. textarea artifact_5_correct_details artifact_steps_number >= 5 && artifact_5 == 1 148 1 1 Preprocessing 5 -Artifacts From which data did you eliminate bad channels in step 5? radio from individual trials | from segments of continuous data | from the entire recording artifact_5_remove_electrode_where artifact_steps_number >= 5 && artifact_5 == 2 149 1 1 Preprocessing 5 - 150 5 -Artifacts List of channels eliminated in step 5, separated by a semicolon and a space. text artifact_5_remove_electrode_list artifact_steps_number >= 5 && artifact_5 == 2 151 1 1 Preprocessing 5 -Artifacts What was the criterion for eliminating bad channels in step 5? radio visual inspection | pre-set numerical criterion/function | other artifact_5_remove_electrode_method artifact_steps_number >= 5 && artifact_5 == 2 152 1 1 Preprocessing 5 -Artifacts Why did you remove bad electrodes in step 5? select_multiple excessive line noise | excessive muscle activity | bad contact and other large fluctations in voltage | dead electrode | excessive EMG noise | cardiac activity | other artifact_5_remove_electrode_visual artifact_steps_number >= 5 && artifact_5_remove_electrode_method == 0 153 1 1 Preprocessing 5 -Artifacts Which other reasons did you have for eliminating bad electrodes visually in step 5? text artifact_5_remove_electrode_visual_other artifact_steps_number >= 5 && artifact_5_remove_electrode_visual == 6 154 1 1 Preprocessing 5 -Artifacts Describe your numerical criterion/function for eliminating electrodes and provide numerical threshold(s) in step 5. text artifact_5_remove_electrode_numerical artifact_steps_number >= 5 && artifact_5_remove_electrode_method == 1 155 1 1 Preprocessing 5 -Artifacts Describe your method of electrode rejection other than visual inspection or numerical criterion/function. Make sure that there is enough detail for a replication attempt. text artifact_5_remove_electrode_other artifact_steps_number >= 5 && artifact_5_remove_electrode_method == 2 156 1 1 Preprocessing 5 -Artifacts How did you select channels for interpolation in step 5? Describe the numerical threshold or function used to define which channels should be interpolated. textarea artifact_5_interpolate_which artifact_steps_number >= 5 && artifact_5 == 3 157 1 1 Preprocessing 5 -Artifacts Describe interpolation function and the settings you used in step 5. Provide appropriate details and settings, as well as a reference, if appropriate. textarea artifact_5_interpolate_how artifact_steps_number >= 5 && artifact_5 == 3 158 1 1 Preprocessing 5 -Artifacts Reference to the automated artifact removal algorithm used in step 5 text artifact_5_automated_reference artifact_steps_number >= 5 && artifact_5 == 4 159 1 1 Preprocessing 5 -Artifacts Describe automated artifact removal parameters in detail sufficient for replication. For example, provide numerical parameters, options selected, or describe decision-making process as closely as possible if manual, visual-inspection based decisions were involved. textarea artifact_5_automated_parameters artifact_steps_number >= 5 && artifact_5 == 4 160 1 1 Preprocessing 5 -Artifacts What action did you take regarding artifacts in step 6? radio reject bad trial or bad data segment | correct by subtraction (blinks, EKG etc.) | reject channels | interpolate channels | multi-step automated approach (e.g., FASTER) artifact_6 artifact_steps_number >= 6 161 1 1 Preprocessing 5 -Artifacts What software did you use for artifact removal in step 6? select preset:meeg_analysis_softwares artifact_6_software artifact_steps_number >= 6 && same_software == 0 162 1 1 Preprocessing 5 -Artifacts Specify software version if applicable, script language if "custom script" was selected and software name and version if "other" was selected. text artifact_6_software_details artifact_steps_number >= 6&& same_software == 0 163 1 1 Preprocessing 5 -Artifacts Did you reject trials or segments of continuous data in step 6? radio trials | data segments artifact_6_reject_what artifact_steps_number >= 6 && artifact_6 == 0 164 1 1 Preprocessing 5 -Artifacts How did you define your artifacts in step 6? radio visual inspection | pre-set numerical criterion/function | other artifact_6_reject_method artifact_steps_number >= 6 && artifact_6 == 0 165 1 1 Preprocessing 5 -Artifacts Which artifacts did you remove using visual inspection in step 6? select_multiple blinks | saccades | other occular | cardiac | motion and other EMG noise | alpha waves | line noise | other artifact_6_reject_visual artifact_steps_number >= 6 && artifact_6_reject_method == 0 166 1 1 Preprocessing 5 -Artifacts Which other artifacts did you remove visually? text artifact_6_reject_visual_other artifact_6_reject_visual.includes(7) 167 1 1 Preprocessing 5 -Artifacts Describe your numerical criterion/function and provide numerical threshold(s) in step 6. text artifact_6_reject_numerical artifact_steps_number >= 6 && artifact_6_reject_method == 1 168 1 1 Preprocessing 5 -Artifacts Describe your method of artifact rejection other than visual inspection or numerical criterion/function. Make sure that there is enough detail for a replication attempt. text artifact_6_reject_other artifact_steps_number >= 6 && artifact_6_reject_method == 2 169 1 1 Preprocessing 5 -Artifacts Which general method of artifact correction did you use in step 6? select regression-based approach (e.g., Gratton et al., 1983, Elbert et al., 1985) | spatial-filter-based approach (e.g., Dale, 1994) | ICA-based approaches | wavelet-based | wavelet-enhanced ICA (e.g., Khushaba et al, 2013) | multiple-source-analysis-based approaches (e.g., MSEC by Berg & Scherg, 1994) | other artifact_6_correct_method artifact_steps_number >= 6 && artifact_6 == 1 170 1 1 Preprocessing 5 -Artifacts Reference to the artifact correction algorithm used in step 6 text artifact_6_correct_reference artifact_steps_number >= 6 && artifact_6 == 1 171 1 1 Preprocessing 5 -Artifacts Describe artifact correction parameters in detail sufficient for replication. For example, provide numerical parameters, options selected, or describe decision-making process as closely as possible if manual, visual-inspection based decisions were involved. textarea artifact_6_correct_details artifact_steps_number >= 6 && artifact_6 == 1 172 1 1 Preprocessing 5 -Artifacts From which data did you eliminate bad channels in step 6? radio from individual trials | from segments of continuous data | from the entire recording artifact_6_remove_electrode_where artifact_steps_number >= 6 && artifact_6 == 2 173 1 1 Preprocessing 5 - 174 5 -Artifacts List of channels eliminated in step 6, separated by a semicolon and a space. text artifact_6_remove_electrode_list artifact_steps_number >= 6 && artifact_6 == 2 175 1 1 Preprocessing 5 -Artifacts What was the criterion for eliminating bad channels in step 6? radio visual inspection | pre-set numerical criterion/function | other artifact_6_remove_electrode_method artifact_steps_number >= 6 && artifact_6 == 2 176 1 1 Preprocessing 5 -Artifacts Why did you remove bad electrodes in step 6? select_multiple excessive line noise | excessive muscle activity | bad contact and other large fluctations in voltage | dead electrode | excessive EMG noise | cardiac activity | other artifact_6_remove_electrode_visual artifact_steps_number >= 6 && artifact_6_remove_electrode_method == 0 177 1 1 Preprocessing 5 -Artifacts Which other reasons did you have for eliminating bad electrodes visually in step 6? text artifact_6_remove_electrode_visual_other artifact_steps_number >= 6 && artifact_6_remove_electrode_visual == 6 178 1 1 Preprocessing 5 -Artifacts Describe your numerical criterion/function for eliminating electrodes and provide numerical threshold(s) in step 6. text artifact_6_remove_electrode_numerical artifact_steps_number >= 6 && artifact_6_remove_electrode_method == 1 179 1 1 Preprocessing 5 -Artifacts Describe your method of electrode rejection other than visual inspection or numerical criterion/function. Make sure that there is enough detail for a replication attempt. text artifact_6_remove_electrode_other artifact_steps_number >= 6 && artifact_6_remove_electrode_method == 2 180 1 1 Preprocessing 5 -Artifacts How did you select channels for interpolation in step 6? Describe the numerical threshold or function used to define which channels should be interpolated. textarea artifact_6_interpolate_which artifact_steps_number >= 6 && artifact_6 == 3 181 1 1 Preprocessing 5 -Artifacts Describe interpolation function and the settings you used in step 6. Provide appropriate details and settings, as well as a reference, if appropriate. textarea artifact_6_interpolate_how artifact_steps_number >= 6 && artifact_6 == 3 182 1 1 Preprocessing 5 -Artifacts Reference to the automated artifact removal algorithm used in step 6 text artifact_6_automated_reference artifact_steps_number >= 6 && artifact_6 == 4 183 1 1 Preprocessing 5 -Artifacts Describe automated artifact removal parameters in detail sufficient for replication. For example, provide numerical parameters, options selected, or describe decision-making process as closely as possible if manual, visual-inspection based decisions were involved. textarea artifact_6_automated_parameters artifact_steps_number >= 6 && artifact_6 == 4 184 1 1 Preprocessing 5 -Artifacts What action did you take regarding artifacts in step 7? radio reject bad trial or bad data segment | correct by subtraction (blinks, EKG etc.) | reject channels | interpolate channels | multi-step automated approach (e.g., FASTER) artifact_7 artifact_steps_number >= 7 185 1 1 Preprocessing 5 -Artifacts What software did you use for artifact removal in step 7? select preset:meeg_analysis_softwares artifact_7_software artifact_steps_number >= 7 && same_software == 0 186 1 1 Preprocessing 5 -Artifacts Specify software version if applicable, script language if "custom script" was selected and software name and version if "other" was selected. text artifact_7_software_details artifact_steps_number >= 7&& same_software == 0 187 1 1 Preprocessing 5 -Artifacts Did you reject trials or segments of continuous data in step 7? radio trials | data segments artifact_7_reject_what artifact_steps_number >= 7 && artifact_7 == 0 188 1 1 Preprocessing 5 -Artifacts How did you define your artifacts in step 7? radio visual inspection | pre-set numerical criterion/function | other artifact_7_reject_method artifact_steps_number >= 7 && artifact_7 == 0 189 1 1 Preprocessing 5 -Artifacts Which artifacts did you remove using visual inspection in step 7? select_multiple blinks | saccades | other occular | cardiac | motion and other EMG noise | alpha waves | line noise | other artifact_7_reject_visual artifact_steps_number >= 7 && artifact_7_reject_method == 0 190 1 1 Preprocessing 5 -Artifacts Which other artifacts did you remove visually? text artifact_7_reject_visual_other artifact_7_reject_visual.includes(7) 191 1 1 Preprocessing 5 -Artifacts Describe your numerical criterion/function and provide numerical threshold(s) in step 7. text artifact_7_reject_numerical artifact_steps_number >= 7 && artifact_7_reject_method == 1 192 1 1 Preprocessing 5 -Artifacts Describe your method of artifact rejection other than visual inspection or numerical criterion/function. Make sure that there is enough detail for a replication attempt. text artifact_7_reject_other artifact_steps_number >= 7 && artifact_7_reject_method == 2 193 1 1 Preprocessing 5 -Artifacts Which general method of artifact correction did you use in step 7? select regression-based approach (e.g., Gratton et al., 1983, Elbert et al., 1985) | spatial-filter-based approach (e.g., Dale, 1994) | ICA-based approaches | wavelet-based | wavelet-enhanced ICA (e.g., Khushaba et al, 2013) | multiple-source-analysis-based approaches (e.g., MSEC by Berg & Scherg, 1994) | other artifact_7_correct_method artifact_steps_number >= 7 && artifact_7 == 1 194 1 1 Preprocessing 5 -Artifacts Reference to the artifact correction algorithm used in step 7 text artifact_7_correct_reference artifact_steps_number >= 7 && artifact_7 == 1 195 1 1 Preprocessing 5 -Artifacts Describe artifact correction parameters in detail sufficient for replication. For example, provide numerical parameters, options selected, or describe decision-making process as closely as possible if manual, visual-inspection based decisions were involved. textarea artifact_7_correct_details artifact_steps_number >= 7 && artifact_7 == 1 196 1 1 Preprocessing 5 -Artifacts From which data did you eliminate bad channels in step 7? radio from individual trials | from segments of continuous data | from the entire recording artifact_7_remove_electrode_where artifact_steps_number >= 7 && artifact_7 == 2 197 1 1 Preprocessing 5 - 198 5 -Artifacts List of channels eliminated in step 7, separated by a semicolon and a space. text artifact_7_remove_electrode_list artifact_steps_number >= 7 && artifact_7 == 2 199 1 1 Preprocessing 5 -Artifacts What was the criterion for eliminating bad channels in step 7? radio visual inspection | pre-set numerical criterion/function | other artifact_7_remove_electrode_method artifact_steps_number >= 7 && artifact_7 == 2 200 1 1 Preprocessing 5 -Artifacts Why did you remove bad electrodes in step 7? select_multiple excessive line noise | excessive muscle activity | bad contact and other large fluctations in voltage | dead electrode | excessive EMG noise | cardiac activity | other artifact_7_remove_electrode_visual artifact_steps_number >= 7 && artifact_7_remove_electrode_method == 0 201 1 1 Preprocessing 5 -Artifacts Which other reasons did you have for eliminating bad electrodes visually in step 7? text artifact_7_remove_electrode_visual_other artifact_steps_number >= 7 && artifact_7_remove_electrode_visual == 6 202 1 1 Preprocessing 5 -Artifacts Describe your numerical criterion/function for eliminating electrodes and provide numerical threshold(s) in step 7. text artifact_7_remove_electrode_numerical artifact_steps_number >= 7 && artifact_7_remove_electrode_method == 1 203 1 1 Preprocessing 5 -Artifacts Describe your method of electrode rejection other than visual inspection or numerical criterion/function. Make sure that there is enough detail for a replication attempt. text artifact_7_remove_electrode_other artifact_steps_number >= 7 && artifact_7_remove_electrode_method == 2 204 1 1 Preprocessing 5 -Artifacts How did you select channels for interpolation in step 7? Describe the numerical threshold or function used to define which channels should be interpolated. textarea artifact_7_interpolate_which artifact_steps_number >= 7 && artifact_7 == 3 205 1 1 Preprocessing 5 -Artifacts Describe interpolation function and the settings you used in step 7. Provide appropriate details and settings, as well as a reference, if appropriate. textarea artifact_7_interpolate_how artifact_steps_number >= 7 && artifact_7 == 3 206 1 1 Preprocessing 5 -Artifacts Reference to the automated artifact removal algorithm used in step 7 text artifact_7_automated_reference artifact_steps_number >= 7 && artifact_7 == 4 207 1 1 Preprocessing 5 -Artifacts Describe automated artifact removal parameters in detail sufficient for replication. For example, provide numerical parameters, options selected, or describe decision-making process as closely as possible if manual, visual-inspection based decisions were involved. textarea artifact_7_automated_parameters artifact_steps_number >= 7 && artifact_7 == 4 208 1 1 Preprocessing 5 -Artifacts We are sorry, but this is an early version of the web-app, and it currently includes up to 7 steps of artifact removal decisions due to technical limitations. Describe your remaining decisions in this field as detailed as you can. textarea artifact_removal_more_than_7 artifact_steps_number >= 8 && artifact_7 == 4 209 1 1 Preprocessing 5 -Epoching Did you epoch data outside of the automated pre-processing pipelines described earlier? radio preset:boolean epoch_any 1 210 1 1 Preprocessing 5 -Epoching Which analysis software did you use for epoching EEG data? select preset:meeg_analysis_softwares epoch_software same_software == 0 && epoch_any == 1 211 1 1 Preprocessing 5 -Epoching Specify software version if applicable, script language if "custom script" was selected, and software name and version if "other" was selected. text epoch_software_details same_software == 0 && epoch_any == 1 212 1 1 Preprocessing 5 -Epoching What was the epoch beginning relative to a trigger point? For timings after the trigger, use positive numbers. For timings before the trigger, use negative numbers. ms float epoch_beginning epoch_any == 1 213 1 1 Preprocessing 5 -Epoching What was the event type relative to which epochs were defined? radio stimulus onset | response | feedback onset | other epoch_trigger_event epoch_any == 1 214 1 1 Preprocessing 5 -Epoching If other, what is the event? text epoch_trigger_event_other epoch_trigger_event == 3 215 1 1 Preprocessing 5 -Epoching What was the epoch end relative to a trigger point? For timings after the trigger, use positive numbers. For timings before the trigger, use negative numbers. ms float epoch_end epoch_any == 1 216 1 1 Preprocessing 5 -Baseline correction Did you apply baseline correction? This does not include baseline correction within automated pipelines, if you had applied any. radio preset:boolean baseline_any 1 217 1 1 Preprocessing 5 -Baseline correction Which analysis software did you use for baseline correction? select preset:meeg_analysis_softwares baseline_software same_software == 0 && baseline_any == 1 218 1 1 Preprocessing 5 -Baseline correction Specify software version if applicable, script language if "custom script" was selected, and software name and version if "other" was selected. text baseline_software_details same_software == 0 && baseline_any == 1 219 1 1 Preprocessing 5 -Baseline correction What was the baseline period beginning relative to a trigger point? For timings after the trigger, use positive numbers. For timings before the trigger, use negative numbers. ms float baseline_beginning baseline_any == 1 220 1 1 Preprocessing 5 -Baseline correction What was the baseline period end relative to a trigger point? For timings after the trigger, use positive numbers. For timings before the trigger, use negative numbers. ms float baseline_end baseline_any == 1 221 1 1 Preprocessing 5 -Baseline correction Which baseline calculation method was used? radio subtract mean of the baseline period per condition | other baseline_method baseline_any == 1 222 1 1 Preprocessing 5 -Baseline correction Describe your baseline calculation method other than subtraction of the mean of the baseline. textarea baseline_other_method_details baseline_method == 1 223 1 1 Preprocessing 5 -Order of operations Describe order of all pre-processing steps described here in a way that allows replication. textarea preprocessing_order 1 224 1 1 Preprocessing 5 \ No newline at end of file +Offline filters What kind of impulse rate did the high-pass filter have? radio FIR (finite) | IIR (infinite) offline_highpass_filter_impulse which_filters.includes(0) 14 1 1 Preprocessing 5 +Offline filters What family of filters did the high-pass filter belong to? radio Boxcar | Butterworth | Elliptic | Chebyshev | other offline_highpass_filter_family which_filters.includes(0) 15 1 1 Preprocessing 5 +Offline filters Family of filters of the high-pass filter (other than listed above) text offline_highpass_filter_family_other offline_highpass_filter_family == 4 16 1 1 Preprocessing 5 +Offline filters What was the order of the high-pass filter? integer offline_highpass_filter_order which_filters.includes(0) 17 1 1 Preprocessing 5 +Offline filters Type of high-pass filter cut-off radio half-power | half-amplitude offline_highpass_filter_unit which_filters.includes(0) 18 1 1 Preprocessing 5 +Offline filters Offline high-pass filter cut-off Hz float offline_highpass_filter_cutoff which_filters.includes(0) 19 1 1 Preprocessing 5 +Offline filters Offline high-pass filter roll off dB/octave float offline_highpass_filter_rolloff which_filters.includes(0) 20 1 1 Preprocessing 5 +Offline filters Do you want to report any of these other additional offline high-pass filter properties? These properties are not required by recommendations for good practice by Keil et al. (2014), but they may help other researchers reproduce your filters if you know them. radio_multiple attenuation in the stopband | transition bandwidth | passband ripple | filter direction | filter delay | other | none of the above offline_highpass_filter_additional which_filters.includes(0) 21 1 1 Preprocessing 5 +Offline filters Attenuation achieved in the stopband after offline high-pass filtering dB float offline_highpass_filter_attenuation offline_highpass_filter_additional.includes(0) 22 1 1 Preprocessing 5 +Offline filters Offline high-pass filter transition bandwidth Hz float offline_highpass_filter_transition offline_highpass_filter_additional.includes(1) 23 1 1 Preprocessing 5 +Offline filters Offline high-pass filter passband ripple dB float offline_highpass_filter_ripple offline_highpass_filter_additional.includes(2) 24 1 1 Preprocessing 5 +Offline filters Direction of the offline high-pass filter radio forwards | backwards | forwards and backwards offline_highpass_filter_direction offline_highpass_filter_additional.includes(3) 25 1 1 Preprocessing 5 +Offline filters Offline high-pass filter delay radio zero-phase | linear phase | non-linear phase offline_highpass_filter_delay offline_highpass_filter_additional.includes(4) 26 1 1 Preprocessing 5 +Offline filters Describe offline high-pass filter properties other than properties offered above. textarea offline_highpass_filter_other offline_highpass_filter_additional.includes(5) 27 1 1 Preprocessing 5 +Offline filters What kind of impulse rate did the low-pass filter have? radio FIR (finite) | IIR (infinite) offline_lowpass_filter_impulse which_filters.includes(1) 28 1 1 Preprocessing 5 +Offline filters What family of filters did the low-pass filter belong to? radio Boxcar | Butterworth | Elliptic | Chebyshev | other offline_lowpass_filter_family which_filters.includes(1) 29 1 1 Preprocessing 5 +Offline filters Family of filters of the low-pass filter (other than listed above) text offline_lowpass_filter_family_other offline_lowpass_filter_family == 4 30 1 1 Preprocessing 5 +Offline filters What was the order of the low-pass filter? integer offline_lowpass_filter_order which_filters.includes(1) 31 1 1 Preprocessing 5 +Offline filters Type of low-pass filter cut-off radio half-power | half-amplitude offline_lowpass_filter_unit which_filters.includes(1) 32 1 1 Preprocessing 5 +Offline filters Offline low-pass filter cut-off Hz float offline_lowpass_filter_cutoff which_filters.includes(1) 33 1 1 Preprocessing 5 +Offline filters Offline low-pass filter roll off dB/octave float offline_lowpass_filter_rolloff which_filters.includes(1) 34 1 1 Preprocessing 5 +Offline filters Do you want to report any of these other additional offline low-pass filter properties? These properties are not required by recommendations for good practice by Keil et al. (2014), but they may help other researchers reproduce your filters if you know them. radio_multiple attenuation in the stopband | transition bandwidth | passband ripple | filter direction | filter delay | other | none of the above offline_lowpass_filter_additional which_filters.includes(1) 35 1 1 Preprocessing 5 +Offline filters Attenuation achieved in the stopband after offline low-pass filtering dB float offline_lowpass_filter_attenuation offline_lowpass_filter_additional.includes(0) 36 1 1 Preprocessing 5 +Offline filters Offline low-pass filter transition bandwidth Hz float offline_lowpass_filter_transition offline_lowpass_filter_additional.includes(1) 37 1 1 Preprocessing 5 +Offline filters Offline low-pass filter passband ripple dB float offline_lowpass_filter_ripple offline_lowpass_filter_additional.includes(2) 38 1 1 Preprocessing 5 +Offline filters Direction of the offline low-pass filter radio forwards | backwards | forwards and backwards offline_lowpass_filter_direction offline_lowpass_filter_additional.includes(3) 39 1 1 Preprocessing 5 +Offline filters Offline low-pass filter delay radio zero-phase | linear phase | non-linear phase offline_lowpass_filter_delay offline_lowpass_filter_additional.includes(4) 40 1 1 Preprocessing 5 +Offline filters Describe offline low-pass filter properties other than properties offered above. textarea offline_lowpass_filter_other offline_lowpass_filter_additional.includes(5) 41 1 1 Preprocessing 5 +Offline filters What notch filter was applied offline, after the recording? radio 50 Hz | 60 Hz | other offline_notch_filter_type which_filters.includes(2) 42 1 1 Preprocessing 5 +Offline filters Center frequency of the offline notch filter Hz text offline_notch_filter_type_details offline_notch_filter_type == 2 43 1 1 Preprocessing 5 +Offline filters In which format do you want to report the width of the offline notch filter? radio distance between 3 dB points | number of removed frequencies in a decrete Fourier transform offline_notch_filter_width which_filters.includes(2) 44 1 1 Preprocessing 5 +Offline filters Distance between 3 dB points Hz float offline_notch_filter_width_distance offline_notch_filter_width == 0 45 1 1 Preprocessing 5 +Offline filters Number of removed frequencies in a descrete Fourier transform float offline_notch_filter_width_number_frequencies offline_notch_filter_width == 1 46 1 1 Preprocessing 5 +Offline filters Were any harmonics also removed by the offline notch filter? radio preset:boolean offline_notch_filter_harmonics which_filters.includes(2) 47 1 1 Preprocessing 5 +Offline filters Which harmonics were removed by the offline notch filter? List center frequencies separated by a semicolon and a space text offline_notch_filter_harmonics_which offline_notch_filter_harmonics == 1 48 1 1 Preprocessing 5 +Downsampling Was data downsampled? radio preset:boolean downsample_data 1 49 1 1 Preprocessing 5 +Downsampling What software was used for downsampling? select preset:meeg_analysis_softwares downsample_software downsample_data == 1 && same_software == 0 50 1 1 Preprocessing 5 +Downsampling Specify software version if applicable, script language if "custom script" was selected and software name and version if "other" was selected. text downsample_software_details downsample_data == 1 && same_software == 0 51 1 1 Preprocessing 5 +Downsampling If yes, what was the new sampling frequency? Hz float new_sampling_frequency downsample_data == 1 52 1 1 Preprocessing 5 +Re-referencing Was data recorded from EEG electrodes re-referenced offline (after recording)? This does not include re-referencing within automated pipelines, if you had applied any. radio preset:boolean offline_reference 1 53 1 1 Preprocessing 5 +Re-referencing Which analysis software was used for re-referencing on EEG data? select preset:meeg_analysis_softwares rereference_software offline_reference == 1 && same_software == 0 54 1 1 Preprocessing 5 +Re-referencing Specify software version if applicable, script language if "custom script" was selected, and software name and version if "other" was selected. text rereference_software_details offline_reference == 1 && same_software == 0 55 1 1 Preprocessing 5 +Re-referencing What was the new reference? EEG electrodes include cap electrodes, mastoids and/or earlobes, except for ground electrode. radio average mastoids | average earlobes | average of all EEG locations | reference electrode standardization technique (REST, Yao, 2001) | Cz | other new_reference offline_reference == 1 56 1 1 Preprocessing 5 +Re-referencing New reference other than listed text new_reference_other new_reference == 5 57 1 1 Preprocessing 5 +Re-referencing Was VEOG data re-referenced offline (after recording)? This does not include re-referencing within automated pipelines, if you had applied any. radio preset:boolean offline_reference_VEOG 1 58 1 1 Preprocessing 5 +Re-referencing What was the new VEOG reference? radio bipolar (lower - upper VEOG) | the same reference as EEG electrodes | other | VEOG was not recorded new_reference_VEOG offline_reference_VEOG == 1 59 1 1 Preprocessing 5 +Re-referencing Which other reference was VEOG data re-referenced to? text new_reference_VEOG_other new_reference_VEOG == 2 60 1 1 Preprocessing 5 +Re-referencing Was HEOG data re-referenced offline (after recording)? This does not include re-referencing within automated pipelines, if you had applied any. radio preset:boolean offline_reference_HEOG 1 61 1 1 Preprocessing 5 +Re-referencing What was the new HEOG reference? radio bipolar (left - right HEOG) | bipolar (right - left HEOG) | the same reference as EEG electrodes | other | HEOG was not recorded new_reference_HEOG offline_reference_HEOG == 1 62 1 1 Preprocessing 5 +Re-referencing Which other reference was HEOG data re-referenced to? text new_reference_HEOG_other new_reference_HEOG == 3 63 1 1 Preprocessing 5 +Re-referencing Was other non-EEG data re-referenced offline (after recording)? This does not include re-referencing within automated pipelines, if you had applied any. radio preset:boolean offline_reference_non-EEG 1 64 1 1 Preprocessing 5 +Re-referencing What was the new other non-EEG reference? radio the same reference as EEG electrodes | other | no other non-EEG electrodes were used new_reference_non-EEG offline_reference_non-EEG == 1 65 1 1 Preprocessing 5 +Re-referencing Which other reference was other non-EEG data re-referenced to? text new_reference_non-EEG_other new_reference_non-EEG == 1 66 1 1 Preprocessing 5 +Artifacts How many artifact elimination steps were there? You will describe each step in a separate tab right below. This section refers to artifact removal (correction, rejection) methods other than elimating participants from the sample, which should be described in the Experimental design and sample section. This section should not include artifact removal within automated pipelines already described above. integer artifact_steps_number 1 67 1 1 Preprocessing 5 +Artifacts What action was taken regarding artifacts in step 1? radio reject bad trial or bad data segment on all channels | correct by subtraction (blinks, EKG etc.) | reject channels | interpolate channels | multi-step automated approach (e.g., FASTER) artifact_1 artifact_steps_number >= 1 68 1 1 Preprocessing 5 +Artifacts What software was used for artifact removal in step 1? select preset:meeg_analysis_softwares artifact_1_software artifact_steps_number >= 1 && same_software == 0 69 1 1 Preprocessing 5 +Artifacts Specify software version if applicable, script language if "custom script" was selected and software name and version if "other" was selected. text artifact_1_software_details artifact_steps_number >= 1&& same_software == 0 70 1 1 Preprocessing 5 +Artifacts Was rejection applied to trials or segments of continuous data in step 1? radio trials | data segments artifact_1_reject_what artifact_steps_number >= 1 && artifact_1 == 0 71 1 1 Preprocessing 5 +Artifacts How were artifacts defined in step 1? radio visual inspection | pre-set numerical criterion/function | other artifact_1_reject_method artifact_steps_number >= 1 && artifact_1 == 0 72 1 1 Preprocessing 5 +Artifacts Which artifacts were removed using visual inspection in step 1? select_multiple blinks | saccades | other occular | cardiac | motion and other EMG noise | alpha waves | line noise | other artifact_1_reject_visual artifact_steps_number >= 1 && artifact_1_reject_method == 0 73 1 1 Preprocessing 5 +Artifacts Which other artifacts were removed visually? text artifact_1_reject_visual_other artifact_1_reject_visual.includes(7) 74 1 1 Preprocessing 5 +Artifacts Describe the numerical criterion/function and provide numerical threshold(s) in step 1. text artifact_1_reject_numerical artifact_steps_number >= 1 && artifact_1_reject_method == 1 75 1 1 Preprocessing 5 +Artifacts Describe method of artifact rejection that was used. Make sure that there is enough detail for a replication attempt. text artifact_1_reject_other artifact_steps_number >= 1 && artifact_1_reject_method == 2 76 1 1 Preprocessing 5 +Artifacts Which general method of artifact correction was used in step 1? select regression-based approach (e.g., Gratton et al., 1983, Elbert et al., 1985) | spatial-filter-based approach (e.g., Dale, 1994) | ICA-based approaches | wavelet-based | wavelet-enhanced ICA (e.g., Khushaba et al, 2013) | multiple-source-analysis-based approaches (e.g., MSEC by Berg & Scherg, 1994) | other artifact_1_correct_method artifact_steps_number >= 1 && artifact_1 == 1 77 1 1 Preprocessing 5 +Artifacts Reference to the artifact correction algorithm used in step 1 text artifact_1_correct_reference artifact_steps_number >= 1 && artifact_1 == 1 78 1 1 Preprocessing 5 +Artifacts Describe artifact correction parameters in detail sufficient for replication. For example, provide numerical parameters, options selected, or describe decision-making process as closely as possible if manual, visual-inspection based decisions were involved. textarea artifact_1_correct_details artifact_steps_number >= 1 && artifact_1 == 1 79 1 1 Preprocessing 5 +Artifacts From which data were bad channels eliminated in step 1? radio from individual trials | from segments of continuous data | from the entire recording of a participant artifact_1_remove_channel_where artifact_steps_number >= 1 && artifact_1 == 2 80 1 1 Preprocessing 5 +Artifacts Were there any channels that were eliminated for all participants? radio preset:boolean artifact_1_remove_channel_if_for_all artifact_steps_number >= 1 && artifact_1 == 2 && artifact_1_remove_channel_where == 2 81 1 1 Preprocessing 5 +Artifacts List of channels eliminated in step 1 for all participants, separated by a semicolon and a space. text artifact_1_remove_channel_everyone_list artifact_1_remove_channel_if_for_all == 1 82 1 1 Preprocessing 5 +Artifacts Percentage of channels eliminated per participant on average in step 1 % float artifact_1_remove_channel_percent artifact_steps_number >= 1 && artifact_1 == 2 && artifact_1_remove_channel_where == 2 83 1 1 Preprocessing 5 +Artifacts What was the criterion for eliminating bad channels in step 1? radio visual inspection | pre-set numerical criterion/function | other artifact_1_remove_channel_method artifact_steps_number >= 1 && artifact_1 == 2 84 1 1 Preprocessing 5 +Artifacts Why were bad channels removed in step 1? select_multiple excessive line noise | excessive muscle activity | bad contact and other large fluctations in voltage | dead electrode | excessive EMG noise | cardiac activity | other artifact_1_remove_channel_visual artifact_steps_number >= 1 && artifact_1_remove_channel_method == 0 85 1 1 Preprocessing 5 +Artifacts Which reasons, other than listed, were there for eliminating bad channels visually in step 1? text artifact_1_remove_channel_visual_other artifact_steps_number >= 1 && artifact_1_remove_channel_visual == 6 86 1 1 Preprocessing 5 +Artifacts Describe the numerical criterion/function for eliminating channels and provide numerical threshold(s) in step 1. text artifact_1_remove_channel_numerical artifact_steps_number >= 1 && artifact_1_remove_channel_method == 1 87 1 1 Preprocessing 5 +Artifacts Describe method of channel rejection. Make sure that there is enough detail for a replication attempt. text artifact_1_remove_channel_other artifact_steps_number >= 1 && artifact_1_remove_channel_method == 2 88 1 1 Preprocessing 5 +Artifacts How did you select channels for interpolation in step 1? Describe the numerical threshold or function used to define which channels should be interpolated. textarea artifact_1_interpolate_which artifact_steps_number >= 1 && artifact_1 == 3 89 1 1 Preprocessing 5 +Artifacts Describe interpolation function and the settings you used in step 1. Provide appropriate details and settings, as well as a reference, if appropriate. textarea artifact_1_interpolate_how artifact_steps_number >= 1 && artifact_1 == 3 90 1 1 Preprocessing 5 +Artifacts Reference to the automated artifact removal algorithm used in step 1 text artifact_1_automated_reference artifact_steps_number >= 1 && artifact_1 == 4 91 1 1 Preprocessing 5 +Artifacts Describe automated artifact removal parameters in detail sufficient for replication. For example, provide numerical parameters, options selected, or describe decision-making process as closely as possible if manual, visual-inspection based decisions were involved. textarea artifact_1_automated_parameters artifact_steps_number >= 1 && artifact_1 == 4 92 1 1 Preprocessing 5 +Epoching Were data epoched outside of the automated pre-processing pipelines described earlier? radio preset:boolean epoch_any 1 93 1 1 Preprocessing 5 +Epoching Which analysis software was used for epoching EEG data? select preset:meeg_analysis_softwares epoch_software same_software == 0 && epoch_any == 1 94 1 1 Preprocessing 5 +Epoching Specify software version if applicable, script language if "custom script" was selected, and software name and version if "other" was selected. text epoch_software_details same_software == 0 && epoch_any == 1 95 1 1 Preprocessing 5 +Epoching What was the epoch beginning relative to a trigger point? ms For timings after the trigger, use positive numbers. For timings before the trigger, use negative numbers. float epoch_beginning epoch_any == 1 96 1 1 Preprocessing 5 +Epoching What was the event type relative to which epochs were defined? radio stimulus onset | response | feedback onset | other epoch_trigger_event epoch_any == 1 97 1 1 Preprocessing 5 +Epoching If other, what is the event? text epoch_trigger_event_other epoch_trigger_event == 3 98 1 1 Preprocessing 5 +Epoching What was the epoch end relative to a trigger point? ms For timings after the trigger, use positive numbers. For timings before the trigger, use negative numbers. float epoch_end epoch_any == 1 99 1 1 Preprocessing 5 +Baseline correction Was baseline correction applied to the data (outside of the automated pre-processing pipelines described earlier)? radio preset:boolean baseline_any 1 100 1 1 Preprocessing 5 +Baseline correction Which analysis software was used for baseline correction? select preset:meeg_analysis_softwares baseline_software same_software == 0 && baseline_any == 1 101 1 1 Preprocessing 5 +Baseline correction Specify software version if applicable, script language if "custom script" was selected, and software name and version if "other" was selected. text baseline_software_details same_software == 0 && baseline_any == 1 102 1 1 Preprocessing 5 +Baseline correction What was the baseline period beginning relative to a trigger point? ms For timings after the trigger, use positive numbers. For timings before the trigger, use negative numbers. float baseline_beginning baseline_any == 1 103 1 1 Preprocessing 5 +Baseline correction What was the baseline period end relative to a trigger point? ms For timings after the trigger, use positive numbers. For timings before the trigger, use negative numbers. float baseline_end baseline_any == 1 104 1 1 Preprocessing 5 +Baseline correction Which baseline calculation method was used? radio subtract mean of the baseline period per condition | other baseline_method baseline_any == 1 105 1 1 Preprocessing 5 +Baseline correction Describe your baseline calculation method other than subtraction of the mean of the baseline. textarea baseline_other_method_details baseline_method == 1 106 1 1 Preprocessing 5 +Order of operations Describe order of all pre-processing steps described here in a way that allows replication. textarea preprocessing_order 1 107 1 1 Preprocessing 5 \ No newline at end of file diff --git a/inputs/tsv/study_id.tsv b/inputs/tsv/study_id.tsv index 6c49957..ac2d9f2 100644 --- a/inputs/tsv/study_id.tsv +++ b/inputs/tsv/study_id.tsv @@ -16,7 +16,7 @@ Datasets Types of data not included in list text study_dataset_types_other st Datasets Do any of these datasets have a DOI? radio preset:boolean study_dataset_DOI_exists study_dataset_exists == 1 15 1 1 study_id 1 Datasets Dataset DOIs separated by a semicolon and a space. textarea study_dataset_DOI study_dataset_DOI_exists == 1 16 1 1 study_id 1 dataset_description.json DatasetDOI Datasets Are there any datasets that do not have a DOI? radio preset:boolean study_datasets_noDOI_exists study_dataset_exists == 1 17 1 1 study_id 1 -Datasets Provide links to non-DOI datasets, separated by a semicolon and a space. textarea study_datasets_noDOI study_datasets_noDOI_exists == 1 18 1 1 study_id 1 +Datasets Are there any datasets that do not have a DOI? textarea study_datasets_noDOI study_datasets_noDOI_exists == 1 18 1 1 study_id 1 Supplemental materials Has this study resulted in any supplementary materials other than data and publications? For example, visualization plots, tables, lists of stimuly, etc. radio preset:boolean supplementary_materials_exists 1 19 1 1 study_id 1 Supplemental materials Which supplementary materials are available publically? radio_multiple list of stimulus descriptions (e.g. list of objects shown in images) | stimuli | codes or files with the experimental task | other supplementary_materials supplementary_materials_exists == 1 20 1 1 study_id 1 Supplemental materials Which other supplementary materials are available? text specify_supplementary supplementary_materials_exists == 1 && supplementary_materials.includes(3) 21 1 1 study_id 1 @@ -32,11 +32,11 @@ Licenses License type for data (other than listed) text data_license_other da Licenses Name of each licensed study element followed by license type, with listed elements separated by semicolon and a space. For example, derivatives, figures, slides, etc. text other_licenses licenses_which.includes(2) 31 1 1 study_id 1 Study description Study abstract textarea study_abstract 1 32 1 1 study_id 1 Study description Keywords, separated by semicolons followed by space text study_keywords 1 33 1 1 study_id 1 -Funding At the time of writing, does the project have financial support from a funding agency? radio preset:boolean study_funding_exists 1 34 1 1 study_id 1 -Funding If this project is being funded, please list grant numbers and funding agencies, separated by a semicolon and a space. textarea study_funding study_funding_exists == 1 35 1 1 study_id 1 dataset_description.json Funding +Funding Does the project have (or did it have) financial support from a funding agency? radio preset:boolean study_funding_exists 1 34 1 1 study_id 1 +Funding If this project is (was) being funded, please list grant numbers and funding agencies, separated by a semicolon and a space. textarea study_funding study_funding_exists == 1 35 1 1 study_id 1 dataset_description.json Funding Ethical Approval At the time of writing has the study been approved by an ethics committee? radio preset:boolean study_ethics_exists 1 36 1 1 study_id 1 Ethical Approval If the study has been aproved by an ethics comittee, list the approval ID and institution which granted it. If there are multiple approvals, separate them by semicolons followed by space. text study_ethics study_ethics_exists == 1 37 1 1 study_id 1 dataset_description.json EthicsApprovals Acknowledgements Do you have any acknowledgments to add in addition to authors or funding? radio preset:boolean acknowledgements_exists 1 38 1 1 study_id 1 Acknowledgements Acknowledgements textarea acknowledgements acknowledgements_exists == 1 39 1 1 study_id 1 dataset_description.json Acknowledgements -How to cite Do you have any instructions on how you want this study to be cited or otherwise acknowledged? radio preset:boolean citation_instructions_exists 1 40 1 1 study_id 1 +How to cite Do you have any instructions on how you (or the authors) want this study to be cited or otherwise acknowledged? radio preset:boolean citation_instructions_exists 1 40 1 1 study_id 1 How to cite Citation instructions textarea citation_instructions citation_instructions_exists == 1 41 1 1 study_id 1 dataset_description.json HowToAcknowledge \ No newline at end of file diff --git a/inputs/tsv/visualisation.tsv b/inputs/tsv/visualisation.tsv index 531323f..d36dde0 100644 --- a/inputs/tsv/visualisation.tsv +++ b/inputs/tsv/visualisation.tsv @@ -1,37 +1,37 @@ sub_section preamble question unit details field_type choices item_pref_label visibility item_order include mandatory activity_pref_label activity_order -Plot type In this section, you will describe your plots and their parameters. NOTE: If you notice a bug, or have a suggestion, we'd be grateful if you posted an issue on GitHub: https://github.com/INCF/artem-is/ How did you visualize ERPs? radio_multiple line plot (waveforms) | topoplot | other visualisation_type 1 1 1 1 visualisation 8 -Line plot Extra preprocessing: Did you apply any procedures for visualisation purposes only (not used for analysis, e.g., smoothing filter, different baseline)? radio preset:boolean visualisation_only_procedures_line visualisation_type.includes(0) 2 1 1 visualisation 8 -Line plot Extra preprocessing: specify details of the procedures you had applied for the purposes of waveforms visualisation. textarea specify_visualisation_proc_line visualisation_only_procedures_line == 1 3 1 1 visualisation 8 +Plot type In this section, you will describe your plots and their parameters. NOTE: If you notice a bug, or have a suggestion, we'd be grateful if you posted an issue on GitHub: https://github.com/INCF/artem-is/ How were ERPs visualised? radio_multiple line plot (waveforms) | topoplot | other visualisation_type 1 1 1 1 visualisation 8 +Line plot Extra preprocessing: Have any procedures been applied for visualisation purposes only (not used for analysis, e.g., smoothing filter, different baseline)? radio preset:boolean visualisation_only_procedures_line visualisation_type.includes(0) 2 1 1 visualisation 8 +Line plot Extra preprocessing: specify details of the procedures that had been applied for the purposes of waveforms visualisation. textarea specify_visualisation_proc_line visualisation_only_procedures_line == 1 3 1 1 visualisation 8 Line plot What do the data represent? radio single waves | difference waves | both single and difference waves | other waveform_type visualisation_type.includes(0) 4 1 1 visualisation 8 Line plot Which single conditions are shown? textarea waveform_type_single_conditions [0,2].includes(waveform_type) 5 1 1 visualisation 8 Line plot Which difference waves are shown? textarea waveform_type_difference_conditions [1,2].includes(waveform_type) 6 1 1 visualisation 8 Line plot Which conditions or their combinations do waveforms represent and how the conditions were combined to make waveforms? textarea waveform_type_other_conditions waveform_type == 3 7 1 1 visualisation 8 -Line plot Did you average channels for presentation or show individual channels? radio individual channels shown | aggregated channels shown | both individual and aggregated channels shown waveform_channel_averaging visualisation_type.includes(0) 8 1 1 visualisation 8 -Line plot Did you use all channels or a selection of channels for the visualisation? radio all channels | selected channels waveform_which_channels visualisation_type.includes(0) 9 1 1 visualisation 8 +Line plot Were the channels averaged for presentation or individual channels were shown instead? radio individual channels shown | aggregated channels shown | both individual and aggregated channels shown waveform_channel_averaging visualisation_type.includes(0) 8 1 1 visualisation 8 +Line plot Were all channels or a selection of channels used for the visualisation? radio all channels | selected channels waveform_which_channels visualisation_type.includes(0) 9 1 1 visualisation 8 Line plot List of channels selected for this visualisation Provide a semicolon-separated list of all channels (in alphabetical order). Averaging of channels will be described later, if this option was selected. text waveform_selected_channels_list waveform_which_channels == 1 10 1 1 visualisation 8 Line plot What was the rationale for showing these channels? textarea waveform_selected_channels_rationale waveform_which_channels == 1 11 1 1 visualisation 8 Line plot Describe which channels were averaged together. textarea waveform_channel_averaging_details waveform_channel_averaging == 1 12 1 1 visualisation 8 Line plot Describe which channels were averaged together, and which were shown individually. textarea waveform_channels_averaged_and_individual waveform_channel_averaging == 2 13 1 1 visualisation 8 -Line plot What is the beginning of the time window selected for this visualisation (relative to trigger)? ms float waveform_beginning visualisation_type.includes(0) 14 1 1 visualisation 8 -Line plot What is the end of the time window selected for this visualisation (relative to trigger)? ms float waveform_end visualisation_type.includes(0) 15 1 1 visualisation 8 +Line plot Beginning of the time window selected for this visualisation (relative to trigger) ms float waveform_beginning visualisation_type.includes(0) 14 1 1 visualisation 8 +Line plot End of the time window selected for this visualisation (relative to trigger) ms float waveform_end visualisation_type.includes(0) 15 1 1 visualisation 8 Line plot What was the rationale for selecting this time window? radio the same as epoch defined previously | other whole_epoch visualisation_type.includes(0) 16 1 1 visualisation 8 Line plot Rationale for selecting this time window textarea waveform_selected_time_rationale whole_epoch == 1 17 1 1 visualisation 8 -Line plot Do you have any additional relevant information about this plot? For example, you may have shown confidence intervals or other kinds of additional information on this plot. textarea waveform_additional visualisation_type.includes(0) 18 1 1 visualisation 8 -Topoplot Extra preprocessing: Did you apply any procedures for visualisation purposes only (not used for analysis, e.g., smoothing filter, different baseline)? radio preset:boolean visualisation_only_procedures_topo visualisation_type.includes(1) 19 1 1 visualisation 8 -Topoplot Extra preprocessing: specify details of the procedures you had applied for the purposes of waveforms visualisation. textarea specify_visualisation_proc_topo visualisation_only_procedures_topo == 1 20 1 1 visualisation 8 +Line plot Do you have any additional relevant information to add about this plot? For example, confidence intervals or other kinds of additional information may have been shown on this plot. textarea waveform_additional visualisation_type.includes(0) 18 1 1 visualisation 8 +Topoplot Extra preprocessing: Have any procedures been applied for visualisation purposes only (not used for analysis, e.g., smoothing filter, different baseline)? radio preset:boolean visualisation_only_procedures_topo visualisation_type.includes(1) 19 1 1 visualisation 8 +Topoplot Extra preprocessing: specify details of the procedures which had been applied for the purposes of waveforms visualisation. textarea specify_visualisation_proc_topo visualisation_only_procedures_topo == 1 20 1 1 visualisation 8 Topoplot What do the data represent? radio single conditions | difference waves | both single and difference wave conditions | other conditions_topoplot visualisation_type.includes(1) 21 1 1 visualisation 8 Topoplot Which conditions are shown? textarea conditions_topoplot_single_conditions [0,2].includes(conditions_topoplot) 22 1 1 visualisation 8 Topoplot Which difference waves are shown? textarea conditions_topoplot_difference_conditions [1,2].includes(conditions_topoplot) 23 1 1 visualisation 8 Topoplot Which conditions or their combinations do waveforms represent and how the conditions were combined to make waveforms? textarea conditions_topoplot_other_conditions conditions_topoplot == 2 24 1 1 visualisation 8 Topoplot What kind of unit does the plotted data have? select voltage maps | voltage maps normalized data | statistical maps based on t-score | statistical maps based on p-value | current source density maps | topographic maps of PCA factors | voltage maps on percent scale | 3D voltage maps | other topoplot_type visualisation_type.includes(1) 25 1 1 visualisation 8 -Topoplot Did you visualise all channels or a selection? radio all channels | selected channels topoplot_which_channels visualisation_type.includes(1) 26 1 1 visualisation 8 +Topoplot Were all channels or a selection of channels visualised in this topoplot? radio all channels | selected channels topoplot_which_channels visualisation_type.includes(1) 26 1 1 visualisation 8 Topoplot Which channels were selected for this visualisation? Provide a semicolon-separated list of all channels (in alphabetical order). text topolot_selected_channels_list topoplot_which_channels == 1 27 1 1 visualisation 8 Topoplot What was the rationale for showing these channels? textarea topoplot_selected_channels_rationale topoplot_which_channels == 1 28 1 1 visualisation 8 -Topoplot What is the beginning of the time window selected for this visualisation (relative to trigger)? ms You will be asked about subdivision of this time window into smaller windows later. float topoplot_window_beginning visualisation_type.includes(1) 29 1 1 visualisation 8 -Topoplot What is the end of the time window selected for this visualisation (relative to trigger)? ms float topoplot_window_end visualisation_type.includes(1) 30 1 1 visualisation 8 +Topoplot Beginning of the time window selected for this visualisation (relative to trigger) ms You will be asked about subdivision of this time window into smaller windows later. float topoplot_window_beginning visualisation_type.includes(1) 29 1 1 visualisation 8 +Topoplot End of the time window selected for this visualisation (relative to trigger) ms float topoplot_window_end visualisation_type.includes(1) 30 1 1 visualisation 8 Topoplot Rationale for selecting this time window textarea topoplot_selected_time_rationale visualisation_type.includes(1) 31 1 1 visualisation 8 -Topoplot Did you subdivide the window to create multiple topoplots? radio preset:boolean topoplot_subdivision visualisation_type.includes(1) 32 1 1 visualisation 8 -Topoplot List of subdivided time windows in chronological order. ms Use colon to separate time window beginning and end, and semicolon and a space to separate subwindows, e.g., 300:400; 400:500 textarea topoplot_subdivision_list topoplot_subdivision == 1 33 1 1 visualisation 8 -Other plot Which other type(s) of plot did you show? text plot_other visualisation_type.includes(2) 34 1 1 other 9 -Additional comments Do you have any additional information or comments to add? radio preset:boolean additional_comment 1 35 1 1 other 9 -Additional comments You can add additional comments here. textarea comment_contents additional_comment == 1 36 1 1 other 9 \ No newline at end of file +Topoplot Was the time window used in this topoplot subdivided to create multiple topoplots? radio preset:boolean topoplot_subdivision visualisation_type.includes(1) 32 1 1 visualisation 8 +Topoplot List of subdivided time windows in chronological order. Use colon to separate time window beginning and end, and semicolon and a space to separate subwindows, e.g., 300:400; 400:500 ms textarea topoplot_subdivision_list topoplot_subdivision == 1 33 1 1 visualisation 8 +Other plot Which other type(s) of plot were shown? text plot_other visualisation_type.includes(2) 34 1 1 visualisation 8 +Additional comments Do you have any additional information or comments to add? radio preset:boolean additional_comment 1 1 1 1 other 9 +Additional comments You can add additional comments here. textarea comment_contents additional_comment == 1 2 1 1 other 9 \ No newline at end of file diff --git a/outputs/artemis.tsv b/outputs/artemis.tsv index 8843092..6bb40e4 100644 --- a/outputs/artemis.tsv +++ b/outputs/artemis.tsv @@ -38,7 +38,7 @@ item field question options instructions 1.5.5 study dataset DOI Dataset DOIs separated by a semicolon and a space. 1.5.6 study datasets noDOI exists Are there any datasets that do not have a DOI? "- yes - no" -1.5.7 study datasets noDOI Provide links to non-DOI datasets, separated by a semicolon and a space. +1.5.7 study datasets noDOI Are there any datasets that do not have a DOI? 1.6 - SUPPLEMENTAL MATERIALS 1.6.1 supplementary materials exists Has this study resulted in any supplementary materials other than data and publications? "- yes - no" For example, visualization plots, tables, lists of stimuly, etc. @@ -73,9 +73,9 @@ item field question options instructions 1.8.1 study abstract Study abstract 1.8.2 study keywords Keywords, separated by semicolons followed by space 1.9 - FUNDING -1.9.1 study funding exists At the time of writing, does the project have financial support from a funding agency? "- yes +1.9.1 study funding exists Does the project have (or did it have) financial support from a funding agency? "- yes - no" -1.9.2 study funding If this project is being funded, please list grant numbers and funding agencies, separated by a semicolon and a space. +1.9.2 study funding If this project is (was) being funded, please list grant numbers and funding agencies, separated by a semicolon and a space. 1.10 - ETHICAL APPROVAL 1.10.1 study ethics exists At the time of writing has the study been approved by an ethics committee? "- yes - no" @@ -85,7 +85,7 @@ item field question options instructions - no" 1.11.2 acknowledgements Acknowledgements 1.12 - HOW TO CITE -1.12.1 citation instructions exists Do you have any instructions on how you want this study to be cited or otherwise acknowledged? "- yes +1.12.1 citation instructions exists Do you have any instructions on how you (or the authors) want this study to be cited or otherwise acknowledged? "- yes - no" 1.12.2 citation instructions Citation instructions 3 - HARDWARE @@ -95,10 +95,10 @@ item field question options instructions 3.1.2 electrode placement type cap Cap or net make (brand) - preset:eeg_cap_types 3.1.3 cap other Cap or net make (brand) other than listed above 3.1.4 cap model Cap or net model -3.1.5 electrode manufacturer Make (brand) of the electrodes +3.1.5 electrode manufacturer Make (brand) of the electrodes This is often, but not necessarily so, the same brand as the cap, if they were purchased together as a set. 3.1.6 electrode model Model of electrodes -3.1.7 electrode preamplifiers Did electrodes have pre-amplifiers? "- no - passive electrodes -- yes - active electrodes" +3.1.7 electrode preamplifiers Did electrodes have pre-amplifiers? "- no (passive electrodes) +- yes (active electrodes)" 3.1.8 electrode material What material were electrodes made of? "- Ag/Ag-Cl - tin - other" @@ -109,27 +109,48 @@ item field question options instructions - none (dry electrodes) - other" 3.1.11 conductive medium other Conductive medium type other than listed. -3.2 - SIGNAL AMPLIFIERS -3.2.1 amplifier make Make (brand) of the amplifier - preset:eeg_amplifier_brands -3.2.2 amplifier make other Make (brand) of the amplifiers other than listed above -3.2.3 amplifier model Model of amplifiers -3.3 - TRIGGERS -3.3.1 trigger signal source Source of triggers "- photo diode +3.2 - ELECTRODE POSITIONING +3.2.1 cap all slots Were all electrode slots available in the cap used (i.e., they had electrodes in them)? "- yes +- no" +3.2.2 electrode location naming convention What type of placement convention is appropriate for describing electrode placement scheme in this study? "- International 10-20 system and its extensions (e.g., 10-10, 5 percent) +- an equidistant electrode placement scheme +- other placement systems +- custom locations" +3.2.3 ten-twenty version Which extension of the 10-20 system will you use to describe electrode positions? "- 5% convention +- 10-10 convention +- 10-20 convention" We recommend selecting the 5% convention (Oostenveld & Praamstra, 2001) as it is the latest version. +3.2.4 number EEG electrodes Number of EEG electrodes that were used for acquisition (including, if they are on scalp, ground and reference electrodes, as well as earlobes; excluding EOG and other non-EEG electrodes). This should not include empty slots on the cap where electrodes were not placed, if there were such slots. +3.2.5 link electrode scheme The appropriate methods description should also include a list or a scheme of all electrode locations. This is currently not available in ARTEM-IS due to technical limitations, so please provide a link where the sceheme/list can be found. This can be a public preregistration document, OSF file, preprint, or a publication. +3.2.6 non-EEG electrodes Which other electrodes were used for recording? "- VEOG above left eye +- VEOG below left eye +- VEOG above right eye +- VEOG below right eye +- left HEOG +- right HEOG +- an electrode used to make balanced noncephalic reference +- other electrodes" +3.2.7 non-EEG electrodes other Which electrodes were used in addition to the ones described above? +3.3 - SIGNAL AMPLIFIERS +3.3.1 amplifier make Make (brand) of the amplifier - preset:eeg_amplifier_brands +3.3.2 amplifier make other Make (brand) of the amplifiers other than listed above +3.3.3 amplifier model Model of amplifiers +3.4 - TRIGGERS +3.4.1 trigger signal source Source of triggers "- photo diode - auditory trigger/voice key - combination stim tracker - presentation software trigger - other" -3.3.2 trigger signal source other Source of triggers other than listed. -3.3.3 trigger signal input when Describe your trigger signal input. Were your triggers delivered during acquisition (e.g., triggers from photo diode simultaneously recorded while presenting trials) or added after recording (e.g. after analysis of an audio recording of spoken responses)? "- Online, during acquisition +3.4.2 trigger signal source other Source of triggers other than listed. +3.4.3 trigger signal input when Describe trigger signal input. Were triggers delivered during acquisition (e.g., triggers from photo diode simultaneously recorded while presenting trials) or added after recording (e.g. after analysis of an audio recording of spoken responses)? "- Online, during acquisition - Added after recording " -3.3.4 trigger signal input where Were your triggers delivered to the amplifier or acquisition computer? "- Amplifier +3.4.4 trigger signal input where Were triggers delivered to the amplifier or acquisition computer? "- Amplifier - Acquisition computer" -3.3.5 trigger signal input how Were your triggers delivered via an analogue or digital signal format? "- Analogue (e.g., via a parallel port, serial port, or TCP/IP) +3.4.5 trigger signal input how Were triggers delivered via an analogue or digital signal format? "- Analogue (e.g., via a parallel port, serial port, or TCP/IP) - Digital (including serial port over a USB port (arduino, LabJack U3, or similar))" -3.4 - OTHER PERIPHERAL DEVICES -3.4.1 other peripheral devices Do you have other devices (eg. signal boxes, converters, other peripheral devices) to report? "- yes +3.5 - OTHER PERIPHERAL DEVICES +3.5.1 other peripheral devices Do you have other devices (eg. signal boxes, converters, other peripheral devices) to report? "- yes - no" You can list here any special equipment that you find necessary to report, such as (1) special monitors, keyboards, etc. worth mentioning; (2) additional EEG recording equipment such as AD converters or electrode position measurement devices; (3) other recording equipment used in parallel, such as eye tracking, fMRI, electrodermal or heart rate monitors. -3.4.2 other peripheral devices details Describe which additional devices you used, and specify their manufacturers and models. +3.5.2 other peripheral devices details Describe which additional devices were used, and specify their manufacturers and models. 4 - ACQUISITION 4.1 - ACQUISITION SOFTWARE 4.1.1 acquisition software What software did you use for the acquisition? - preset:meeg_acquisition_softwares @@ -137,137 +158,217 @@ item field question options instructions 4.2 - DATA QUALITY 4.2.1 acquisition quality measure exists Did you document impedances, or an alternative data aquisition quality measure? "- yes - no" -4.2.2 acquisition quality measure What is the appropriate acquisition data quality measure for your recording equipment? "- impedance upper threshold +4.2.2 acquisition quality measure What is the appropriate acquisition data quality measure for the recording equipment? "- impedance upper threshold - impedance range - a data quality measure alternative to impedances" -4.2.3 impedance threshold What was the upper threshold of impedance that you registered in your study? -4.2.4 impedance lower end What was the lowest impedance you registered in this study? -4.2.5 impedance higher end What was the highest impedance you registered in this study? -4.2.6 impedance alternative Report data quality measures provided by your recording system alternative to impedances. -4.3 - ELECTRODE POSITIONING -4.3.1 electrode location naming convention What type of placement/naming convention have you used for the electrode locations? "- five percent electrode system (extension of the International 10-20 system by Oostenveld & Praamstra (2001)) -- commercial geodesic net -- other named system -- custom locations" -4.3.2 electrode location naming convention other Specify the electrode placement/naming convention used Either the name of a standardized placement system (for example, 10-20) or a list of standardized electrode names (for example, [Cz, Pz]) -4.3.3 electrode location naming convention custom Describe the custom placement of your electrodes relative to anatomical markers or electrode naming/placement systems "E.g. ""One electrode, half way between Cz and CP1, was used.""" -4.3.4 number active channels Number of scalp electrodes including reference channels, but excluding ground channel, VEOG and HEOG. -4.3.5 online reference exists Did you use an online reference (as opposed to alternative solutions such as Driven Right Leg (DRL))? "- yes +4.2.3 impedance threshold What was the upper threshold of impedance that was registered in this study? +4.2.4 impedance lower end What was the lowest impedance registered in this study? +4.2.5 impedance higher end What was the highest impedance registered in this study? +4.2.6 impedance alternative Report data quality measures provided by the recording system alternative to impedances. +4.3 - ONLINE (RECORDING) REFERENCE +4.3.1 online reference exists Was voltage measured relative to an online reference for EEG electrodes (as opposed to alternative solutions such as Driven Right Leg (DRL))? "- yes - no" -4.3.6 online reference type Where did you place reference electrode(s)? - preset:eeg_reference_electrodes -4.3.7 alternatives to reference What alternative to an online reference (for example DRL) did you use? Please describe it. -4.3.8 online reference type other Online reference location other than listed -4.3.9 location ground Where did you place ground electrode during the recording? -4.3.10 eog channels How many EOG channels did you use to record eye movement-dependent voltage? "- two HEOG channels only -- two VEOG channels only -- two HEOG and two VEOG channels -- no EOG channels -- other" -4.3.11 other eog channels Specify the position of EOG channels you used for the recording For example, where were they placed? How were they positioned in ajdunct to the rest of the electrodes? +4.3.2 online reference type Location of the EEG online reference electrode(s) - preset:eeg_reference_electrodes +4.3.3 alternatives to reference What alternative to an EEG online reference (for example DRL) was used? +4.3.4 online reference type other EEG online reference location other than listed +4.3.5 location ground Location of the ground electrode during recording +4.3.6 online reference VEOG Online reference for VEOG electrodes "- bipolar (lower - upper VEOG) +- the same reference as EEG electrodes +- other +- VEOG was not recorded" +4.3.7 online reference VEOG other Which other reference was used for VEOG recording? +4.3.8 online reference HEOG Online reference for HEOG electrodes "- bipolar (left - right HEOG) +- bipolar (right - left HEOG) +- the same reference as EEG electrodes +- other +- HEOG was not recorded" +4.3.9 online reference HEOG other Which other reference was used for HEOG recording? +4.3.10 online reference other non-EEG Online reference for other non-EEG electrodes "- the same reference as EEG electrodes +- other +- no other non-EEG electrodes were used" +4.3.11 online reference other non-EEG other Which other reference was used for other non-EEG electrodes? 4.4 - ONLINE FILTERS -4.4.1 online filters Which of the following online filters have you used? "- high pass +4.4.1 online filters Which of the following online filters were used? "- high pass - low pass -- pass band -- stop band - notch - none" -4.4.2 online filters high pass cut off Specify the high-pass filter cut-off used during recording. -4.4.3 online filters high pass cutoff unit Type of high-pass filter cut-off "- half-amplitude +4.4.2 online filters high pass cut off High-pass filter cut-off used during recording +4.4.3 online filters high pass cutoff unit Type of online high-pass filter cut-off "- half-amplitude - half-power" -4.4.4 online filters high pass roll off Specify the high-pass filter roll off used during recording -4.4.5 online filters low pass cutoff unit Type of low-pass filter cut-off "- half-amplitude +4.4.4 online filters high pass roll off High-pass filter roll off used during recording +4.4.5 online filters high pass impulse High-pass filter impulse response during recording "- finite impulse response (FIR) +- infinite impulse response (IIR)" +4.4.6 online filters low pass cutoff unit Type of online low-pass filter cut-off "- half-amplitude - half-power" -4.4.6 online filters low pass cut off Specify the low-pass filter cut-off used during recording. -4.4.7 online filters low pass roll off Specify the low-pass filter roll off used during recording -4.4.8 online notch filter type What online notch filter have you applied after the recording? "- 50 Hz +4.4.7 online filters low pass cut off Low-pass filter cut-off used during recording +4.4.8 online filters low pass roll off Low-pass filter roll off used during recording +4.4.9 online filters low pass impulse Low-pass filter impulse response during recording "- finite impulse response (FIR) +- infinite impulse response (IIR)" +4.5 - OFFLINE FILTERS +4.5.1 online notch filter type What notch filter was applied online (during recording)? "- 50 Hz - 60 Hz - other" -4.4.9 online notch filter type details Describe the stopband frequency of the online notch filter you applied -4.5 - SAMPLING -4.5.1 recording samping frequency What was your acquisition sampling rate? +4.5.2 online notch filter type details Center frequency of the online notch filter +4.5.3 online notch filter width In which format do you want to report the width of the offline notch filter? "- distance between 3 dB points +- number of removed frequencies in a decrete Fourier transform" +4.5.4 online notch filter width distance Distance between 3 dB points +4.5.5 online notch filter width number frequencies Number of removed frequencies in a descrete Fourier transform +4.5.6 online notch filter harmonics Were any harmonics also removed by the online notch filter? "- yes +- no" +4.5.7 online notch filter harmonics which Which harmonics were removed by the online notch filter? List center frequencies separated by a semicolon and a space +4.6 - SAMPLING +4.6.1 recording samping frequency Acquisition sampling rate 5 - PREPROCESSING 5.1 - PRE-PROCESSING GENERAL -5.1.1 same software Did you use the same software for all pre-processing steps? "- yes -- no" Preprocessing steps are fitlering, downsampling, re-referencing, artifact removal, epoching and baseline correction, and other up to the point of data collection -5.1.2 preprocessing software Which software did you use? - preset:meeg_analysis_softwares +5.1.1 same software Was the same software used for all pre-processing steps? "- yes +- no" Preprocessing steps are fitlering, downsampling, re-referencing, artifact removal, epoching and baseline correction, and other up to the point of data collection. If you select YES here, you will be asked to provide the software information now, and if you select NO, you will be asked to specify software when describing each preprocessing step separately. +5.1.2 preprocessing software Which software was used for pre-processing? - preset:meeg_analysis_softwares 5.1.3 preprocessing software details "Specify software version if applicable, script language if ""custom script"" was selected, and software name and version if ""other"" was selected." 5.2 - PRE-PROCESSING AUTOMATED PIPELINES -5.2.1 preprocessing pipeline Did you use an automated pre-processing pipeline which executes more than artifact removal decisions? "- yes +5.2.1 preprocessing pipeline Was an automated pre-processing pipeline which executes more preprocessing steps (e.g., not only artifact removal) used? "- yes - no" For example, this automated pipeline may also include filtering, baseline correction, or re-referencing. -5.2.2 preprocessing pipeline which Which automated pre-processing pipeline did you use? "- PREP (Bigdely-Shamlo et al., 2015) +5.2.2 preprocessing pipeline which Which automated pre-processing pipeline was used? "- PREP (Bigdely-Shamlo et al., 2015) - HAPPE (Gabard-Durnam et al., 2018) - HAPPE+ER (Monachino et al., 2021) - EPOS (Rodrigues et al., 2021) - other" -5.2.3 preprocessing pipeline other Automated pre-processing pipeline you used other than listed -5.2.4 preprocessing pipeline reference Reference for the automated pre-processing pipeline you applied. +5.2.3 preprocessing pipeline other Automated pre-processing pipeline that was used, other than listed +5.2.4 preprocessing pipeline reference Reference for the automated pre-processing pipeline that was used 5.2.5 preprocessing pipeline version Version of the automated pre-processing pipeline, if applicable -5.2.6 preprocessing pipeline parameters Describe parameters and settings you used to run this automated pipeline, if applicable, and any potential adjustments to the pipeline you may have made manually. +5.2.6 preprocessing pipeline parameters Describe parameters and settings that were used to run this automated pipeline, if applicable, and any potential adjustments to the pipeline that may have been made manually. 5.3 - OFFLINE FILTERS -5.3.1 offline filters Did you apply any offline (digital) filters? "- yes +5.3.1 offline filters Were any offline (digital) filters applied? "- yes - no" This does not include filtering within automated pipelines, if you had applied any, or filtering only for visualization, and not analysis purposes. -5.3.2 which filters Which offline filters did you apply? "- high pass +5.3.2 which filters Which offline filters were applied? "- high pass - low pass - notch" -5.3.3 filtering software Which software do you use for implementing offline filters on EEG data? - preset:meeg_analysis_softwares +5.3.3 filtering software Which software was used for implementing offline filters on EEG data? - preset:meeg_analysis_softwares 5.3.4 filter software details "Specify software version if applicable, script language if ""custom script"" was selected, and software name and version if ""other"" was selected." -5.3.5 offline highpass filter type What kind of high-pass filter did you use? - preset:filter -5.3.6 offline highpass filter order What was the length/order of the high-pass filter? -5.3.7 offline highpass filter unit Type of high-pass filter cut-off "- half-power +5.3.5 offline highpass filter impulse What kind of impulse rate did the high-pass filter have? "- FIR (finite) +- IIR (infinite)" +5.3.6 offline highpass filter family What family of filters did the high-pass filter belong to? "- Boxcar +- Butterworth +- Elliptic +- Chebyshev +- other" +5.3.7 offline highpass filter family other Family of filters of the high-pass filter (other than listed above) +5.3.8 offline highpass filter order What was the order of the high-pass filter? +5.3.9 offline highpass filter unit Type of high-pass filter cut-off "- half-power - half-amplitude" -5.3.8 offline highpass filter cutoff Specify the offline high-pass filter cut-off. -5.3.9 offline highpass filter rolloff Specify the offline high-pass filter roll off. -5.3.10 offline highpass filter attenuation What is the attenuation achieved in the stopband after high-pass filtering? -5.3.11 offline highpass filter direction What was the direction of the high-pass filter? "- forwards +5.3.10 offline highpass filter cutoff Offline high-pass filter cut-off +5.3.11 offline highpass filter rolloff Offline high-pass filter roll off +5.3.12 offline highpass filter additional Do you want to report any of these other additional offline high-pass filter properties? "- attenuation in the stopband +- transition bandwidth +- passband ripple +- filter direction +- filter delay +- other +- none of the above" These properties are not required by recommendations for good practice by Keil et al. (2014), but they may help other researchers reproduce your filters if you know them. +5.3.13 offline highpass filter attenuation Attenuation achieved in the stopband after offline high-pass filtering +5.3.14 offline highpass filter transition Offline high-pass filter transition bandwidth +5.3.15 offline highpass filter ripple Offline high-pass filter passband ripple +5.3.16 offline highpass filter direction Direction of the offline high-pass filter "- forwards - backwards - forwards and backwards" -5.3.12 offline lowpass filter type What kind of low-pass filter did you use? - preset:filter -5.3.13 offline lowpass filter order What was the length/order of the low-pass filter? -5.3.14 offline lowpass filter unit Type of high-pass filter cut-off "- half-power +5.3.17 offline highpass filter delay Offline high-pass filter delay "- zero-phase +- linear phase +- non-linear phase" +5.3.18 offline highpass filter other Describe offline high-pass filter properties other than properties offered above. +5.3.19 offline lowpass filter impulse What kind of impulse rate did the low-pass filter have? "- FIR (finite) +- IIR (infinite)" +5.3.20 offline lowpass filter family What family of filters did the low-pass filter belong to? "- Boxcar +- Butterworth +- Elliptic +- Chebyshev +- other" +5.3.21 offline lowpass filter family other Family of filters of the low-pass filter (other than listed above) +5.3.22 offline lowpass filter order What was the order of the low-pass filter? +5.3.23 offline lowpass filter unit Type of low-pass filter cut-off "- half-power - half-amplitude" -5.3.15 offline lowpass filter cutoff Specify the offline low-pass filter cut-off. -5.3.16 offline lowpass filter rolloff Specify the offline low-pass filter roll off. -5.3.17 offline lowpass filter attenuation What is the attenuation achieved in the stopband after low-pass filtering? -5.3.18 offline lowpass filter direction What was the direction of the low-pass filter? "- forwards +5.3.24 offline lowpass filter cutoff Offline low-pass filter cut-off +5.3.25 offline lowpass filter rolloff Offline low-pass filter roll off +5.3.26 offline lowpass filter additional Do you want to report any of these other additional offline low-pass filter properties? "- attenuation in the stopband +- transition bandwidth +- passband ripple +- filter direction +- filter delay +- other +- none of the above" These properties are not required by recommendations for good practice by Keil et al. (2014), but they may help other researchers reproduce your filters if you know them. +5.3.27 offline lowpass filter attenuation Attenuation achieved in the stopband after offline low-pass filtering +5.3.28 offline lowpass filter transition Offline low-pass filter transition bandwidth +5.3.29 offline lowpass filter ripple Offline low-pass filter passband ripple +5.3.30 offline lowpass filter direction Direction of the offline low-pass filter "- forwards - backwards - forwards and backwards" -5.3.19 offline notch filter type What notch filter have you applied after the recording? "- 50 Hz +5.3.31 offline lowpass filter delay Offline low-pass filter delay "- zero-phase +- linear phase +- non-linear phase" +5.3.32 offline lowpass filter other Describe offline low-pass filter properties other than properties offered above. +5.3.33 offline notch filter type What notch filter was applied offline, after the recording? "- 50 Hz - 60 Hz - other" -5.3.20 offline notch filter type details Describe the stopband frequency of the notch filter you applied +5.3.34 offline notch filter type details Center frequency of the offline notch filter +5.3.35 offline notch filter width In which format do you want to report the width of the offline notch filter? "- distance between 3 dB points +- number of removed frequencies in a decrete Fourier transform" +5.3.36 offline notch filter width distance Distance between 3 dB points +5.3.37 offline notch filter width number frequencies Number of removed frequencies in a descrete Fourier transform +5.3.38 offline notch filter harmonics Were any harmonics also removed by the offline notch filter? "- yes +- no" +5.3.39 offline notch filter harmonics which Which harmonics were removed by the offline notch filter? List center frequencies separated by a semicolon and a space 5.4 - DOWNSAMPLING -5.4.1 downsample data Did you downsample your data? "- yes +5.4.1 downsample data Was data downsampled? "- yes - no" -5.4.2 downsample software What software did you use for downsampling? - preset:meeg_analysis_softwares +5.4.2 downsample software What software was used for downsampling? - preset:meeg_analysis_softwares 5.4.3 downsample software details "Specify software version if applicable, script language if ""custom script"" was selected and software name and version if ""other"" was selected." -5.4.4 new sampling frequency If yes, what was your new sampling frequency? +5.4.4 new sampling frequency If yes, what was the new sampling frequency? 5.5 - RE-REFERENCING -5.5.1 offline reference Did you re-reference offline? "- yes +5.5.1 offline reference Was data recorded from EEG electrodes re-referenced offline (after recording)? "- yes - no" This does not include re-referencing within automated pipelines, if you had applied any. -5.5.2 rereference software Which analysis software do you use for re-referencing on EEG data? - preset:meeg_analysis_softwares +5.5.2 rereference software Which analysis software was used for re-referencing on EEG data? - preset:meeg_analysis_softwares 5.5.3 rereference software details "Specify software version if applicable, script language if ""custom script"" was selected, and software name and version if ""other"" was selected." 5.5.4 new reference What was the new reference? "- average mastoids - average earlobes -- average of all scalp electrodes +- average of all EEG locations - reference electrode standardization technique (REST, Yao, 2001) - Cz -- other" +- other" EEG electrodes include cap electrodes, mastoids and/or earlobes, except for ground electrode. 5.5.5 new reference other New reference other than listed +5.5.6 offline reference VEOG Was VEOG data re-referenced offline (after recording)? "- yes +- no" This does not include re-referencing within automated pipelines, if you had applied any. +5.5.7 new reference VEOG What was the new VEOG reference? "- bipolar (lower - upper VEOG) +- the same reference as EEG electrodes +- other +- VEOG was not recorded" +5.5.8 new reference VEOG other Which other reference was VEOG data re-referenced to? +5.5.9 offline reference HEOG Was HEOG data re-referenced offline (after recording)? "- yes +- no" This does not include re-referencing within automated pipelines, if you had applied any. +5.5.10 new reference HEOG What was the new HEOG reference? "- bipolar (left - right HEOG) +- bipolar (right - left HEOG) +- the same reference as EEG electrodes +- other +- HEOG was not recorded" +5.5.11 new reference HEOG other Which other reference was HEOG data re-referenced to? +5.5.12 offline reference non-EEG Was other non-EEG data re-referenced offline (after recording)? "- yes +- no" This does not include re-referencing within automated pipelines, if you had applied any. +5.5.13 new reference non-EEG What was the new other non-EEG reference? "- the same reference as EEG electrodes +- other +- no other non-EEG electrodes were used" +5.5.14 new reference non-EEG other Which other reference was other non-EEG data re-referenced to? 5.6 - ARTIFACTS -5.6.1 artifact steps number How many artifact elimination steps did you have? This section refers to artifact removal (correction, rejection) methods other than elimating participants from the sample, which should be described in the Experimental design and sample section. This section should not include artifact removal within automated pipelines already described above. -5.6.2 artifact 1 What action did you take regarding artifacts in step 1? "- reject bad trial or bad data segment on all channels +5.6.1 artifact steps number How many artifact elimination steps were there? You will describe each step in a separate tab right below. This section refers to artifact removal (correction, rejection) methods other than elimating participants from the sample, which should be described in the Experimental design and sample section. This section should not include artifact removal within automated pipelines already described above. +5.6.2 artifact 1 What action was taken regarding artifacts in step 1? "- reject bad trial or bad data segment on all channels - correct by subtraction (blinks, EKG etc.) - reject channels - interpolate channels - multi-step automated approach (e.g., FASTER)" -5.6.3 artifact 1 software What software did you use for artifact removal in step 1? - preset:meeg_analysis_softwares +5.6.3 artifact 1 software What software was used for artifact removal in step 1? - preset:meeg_analysis_softwares 5.6.4 artifact 1 software details "Specify software version if applicable, script language if ""custom script"" was selected and software name and version if ""other"" was selected." -5.6.5 artifact 1 reject what Did you reject trials or segments of continuous data in step 1? "- trials +5.6.5 artifact 1 reject what Was rejection applied to trials or segments of continuous data in step 1? "- trials - data segments" -5.6.6 artifact 1 reject method How did you define your artifacts in step 1? "- visual inspection +5.6.6 artifact 1 reject method How were artifacts defined in step 1? "- visual inspection - pre-set numerical criterion/function - other" -5.6.7 artifact 1 reject visual Which artifacts did you remove using visual inspection in step 1? "- blinks +5.6.7 artifact 1 reject visual Which artifacts were removed using visual inspection in step 1? "- blinks - saccades - other occular - cardiac @@ -275,10 +376,10 @@ item field question options instructions - alpha waves - line noise - other" -5.6.8 artifact 1 reject visual other Which other artifacts did you remove visually? -5.6.9 artifact 1 reject numerical Describe your numerical criterion/function and provide numerical threshold(s) in step 1. -5.6.10 artifact 1 reject other Describe your method of artifact rejection other than visual inspection or numerical criterion/function. Make sure that there is enough detail for a replication attempt. -5.6.11 artifact 1 correct method Which general method of artifact correction did you use in step 1? "- regression-based approach (e.g., Gratton et al., 1983, Elbert et al., 1985) +5.6.8 artifact 1 reject visual other Which other artifacts were removed visually? +5.6.9 artifact 1 reject numerical Describe the numerical criterion/function and provide numerical threshold(s) in step 1. +5.6.10 artifact 1 reject other Describe method of artifact rejection that was used. Make sure that there is enough detail for a replication attempt. +5.6.11 artifact 1 correct method Which general method of artifact correction was used in step 1? "- regression-based approach (e.g., Gratton et al., 1983, Elbert et al., 1985) - spatial-filter-based approach (e.g., Dale, 1994) - ICA-based approaches - wavelet-based @@ -287,369 +388,49 @@ item field question options instructions - other" 5.6.12 artifact 1 correct reference Reference to the artifact correction algorithm used in step 1 5.6.13 artifact 1 correct details Describe artifact correction parameters in detail sufficient for replication. For example, provide numerical parameters, options selected, or describe decision-making process as closely as possible if manual, visual-inspection based decisions were involved. -5.6.14 artifact 1 remove electrode where From which data did you eliminate bad channels in step 1? "- from individual trials +5.6.14 artifact 1 remove channel where From which data were bad channels eliminated in step 1? "- from individual trials - from segments of continuous data - from the entire recording of a participant" -5.6.15 artifact 1 remove electrode everyone list List of channels eliminated in step 1 for all participants, separated by a semicolon and a space. -5.6.16 artifact 1 remove electrode percent Percentage of channels eliminated per participant on average in step 1 -5.6.17 artifact 1 remove electrode method What was the criterion for eliminating bad channels in step 1? "- visual inspection -- pre-set numerical criterion/function -- other" -5.6.18 artifact 1 remove electrode visual Why did you remove bad electrodes in step 1? "- excessive line noise -- excessive muscle activity -- bad contact and other large fluctations in voltage -- dead electrode -- excessive EMG noise -- cardiac activity -- other" -5.6.19 artifact 1 remove electrode visual other Which other reasons did you have for eliminating bad electrodes visually in step 1? -5.6.20 artifact 1 remove electrode numerical Describe your numerical criterion/function for eliminating electrodes and provide numerical threshold(s) in step 1. -5.6.21 artifact 1 remove electrode other Describe your method of electrode rejection other than visual inspection or numerical criterion/function. Make sure that there is enough detail for a replication attempt. -5.6.22 artifact 1 interpolate which How did you select channels for interpolation in step 1? Describe the numerical threshold or function used to define which channels should be interpolated. -5.6.23 artifact 1 interpolate how Describe interpolation function and the settings you used in step 1. Provide appropriate details and settings, as well as a reference, if appropriate. -5.6.24 artifact 1 automated reference Reference to the automated artifact removal algorithm used in step 1 -5.6.25 artifact 1 automated parameters Describe automated artifact removal parameters in detail sufficient for replication. For example, provide numerical parameters, options selected, or describe decision-making process as closely as possible if manual, visual-inspection based decisions were involved. -5.6.26 artifact 2 What action did you take regarding artifacts in step 2? "- reject bad trial or bad data segment -- correct by subtraction (blinks, EKG etc.) -- reject channels -- interpolate channels -- multi-step automated approach (e.g., FASTER)" -5.6.27 artifact 2 software What software did you use for artifact removal in step 2? - preset:meeg_analysis_softwares -5.6.28 artifact 2 software details "Specify software version if applicable, script language if ""custom script"" was selected and software name and version if ""other"" was selected." -5.6.29 artifact 2 reject what Did you reject trials or segments of continuous data in step 2? "- trials -- data segments" -5.6.30 artifact 2 reject method How did you define your artifacts in step 2? "- visual inspection -- pre-set numerical criterion/function -- other" -5.6.31 artifact 2 reject visual Which artifacts did you remove using visual inspection in step 2? "- blinks -- saccades -- other occular -- cardiac -- motion and other EMG noise -- alpha waves -- line noise -- other" -5.6.32 artifact 2 reject visual other Which other artifacts did you remove visually? -5.6.33 artifact 2 reject numerical Describe your numerical criterion/function and provide numerical threshold(s) in step 2. -5.6.34 artifact 2 reject other Describe your method of artifact rejection other than visual inspection or numerical criterion/function. Make sure that there is enough detail for a replication attempt. -5.6.35 artifact 2 correct method Which general method of artifact correction did you use in step 2? "- regression-based approach (e.g., Gratton et al., 1983, Elbert et al., 1985) -- spatial-filter-based approach (e.g., Dale, 1994) -- ICA-based approaches -- wavelet-based -- wavelet-enhanced ICA (e.g., Khushaba et al, 2013) -- multiple-source-analysis-based approaches (e.g., MSEC by Berg & Scherg, 1994) -- other" -5.6.36 artifact 2 correct reference Reference to the artifact correction algorithm used in step 2 -5.6.37 artifact 2 correct details Describe artifact correction parameters in detail sufficient for replication. For example, provide numerical parameters, options selected, or describe decision-making process as closely as possible if manual, visual-inspection based decisions were involved. -5.6.38 artifact 2 remove electrode where From which data did you eliminate bad channels in step 2? "- from individual trials -- from segments of continuous data -- from the entire recording" -5.6.39 artifact 2 remove electrode everyone list List of channels eliminated in step 2 for all participants, separated by a semicolon and a space. -5.6.40 artifact 2 remove electrode percent Percentage of channels eliminated per participant on average in step 2 -5.6.41 artifact 2 remove electrode method What was the criterion for eliminating bad channels in step 2? "- visual inspection -- pre-set numerical criterion/function -- other" -5.6.42 artifact 2 remove electrode visual Why did you remove bad electrodes in step 2? "- excessive line noise -- excessive muscle activity -- bad contact and other large fluctations in voltage -- dead electrode -- excessive EMG noise -- cardiac activity -- other" -5.6.43 artifact 2 remove electrode visual other Which other reasons did you have for eliminating bad electrodes visually in step 2? -5.6.44 artifact 2 remove electrode numerical Describe your numerical criterion/function for eliminating electrodes and provide numerical threshold(s) in step 2. -5.6.45 artifact 2 remove electrode other Describe your method of electrode rejection other than visual inspection or numerical criterion/function. Make sure that there is enough detail for a replication attempt. -5.6.46 artifact 2 interpolate which How did you select channels for interpolation in step 2? Describe the numerical threshold or function used to define which channels should be interpolated. -5.6.47 artifact 2 interpolate how Describe interpolation function and the settings you used in step 2. Provide appropriate details and settings, as well as a reference, if appropriate. -5.6.48 artifact 2 automated reference Reference to the automated artifact removal algorithm used in step 2 -5.6.49 artifact 2 automated parameters Describe automated artifact removal parameters in detail sufficient for replication. For example, provide numerical parameters, options selected, or describe decision-making process as closely as possible if manual, visual-inspection based decisions were involved. -5.6.50 artifact 3 What action did you take regarding artifacts in step 3? "- reject bad trial or bad data segment -- correct by subtraction (blinks, EKG etc.) -- reject channels -- interpolate channels -- multi-step automated approach (e.g., FASTER)" -5.6.51 artifact 3 software What software did you use for artifact removal in step 3? - preset:meeg_analysis_softwares -5.6.52 artifact 3 software details "Specify software version if applicable, script language if ""custom script"" was selected and software name and version if ""other"" was selected." -5.6.53 artifact 3 reject what Did you reject trials or segments of continuous data in step 3? "- trials -- data segments" -5.6.54 artifact 3 reject method How did you define your artifacts in step 3? "- visual inspection -- pre-set numerical criterion/function -- other" -5.6.55 artifact 3 reject visual Which artifacts did you remove using visual inspection in step 3? "- blinks -- saccades -- other occular -- cardiac -- motion and other EMG noise -- alpha waves -- line noise -- other" -5.6.56 artifact 3 reject visual other Which other artifacts did you remove visually? -5.6.57 artifact 3 reject numerical Describe your numerical criterion/function and provide numerical threshold(s) in step 3. -5.6.58 artifact 3 reject other Describe your method of artifact rejection other than visual inspection or numerical criterion/function. Make sure that there is enough detail for a replication attempt. -5.6.59 artifact 3 correct method Which general method of artifact correction did you use in step 3? "- regression-based approach (e.g., Gratton et al., 1983, Elbert et al., 1985) -- spatial-filter-based approach (e.g., Dale, 1994) -- ICA-based approaches -- wavelet-based -- wavelet-enhanced ICA (e.g., Khushaba et al, 2013) -- multiple-source-analysis-based approaches (e.g., MSEC by Berg & Scherg, 1994) -- other" -5.6.60 artifact 3 correct reference Reference to the artifact correction algorithm used in step 3 -5.6.61 artifact 3 correct details Describe artifact correction parameters in detail sufficient for replication. For example, provide numerical parameters, options selected, or describe decision-making process as closely as possible if manual, visual-inspection based decisions were involved. -5.6.62 artifact 3 remove electrode where From which data did you eliminate bad channels in step 3? "- from individual trials -- from segments of continuous data -- from the entire recording" -5.6.63 artifact 3 remove electrode everyone list List of channels eliminated in step 3 for all participants, separated by a semicolon and a space. -5.6.64 artifact 3 remove electrode percent Percentage of channels eliminated per participant on average in step 3 -5.6.65 artifact 3 remove electrode method What was the criterion for eliminating bad channels in step 3? "- visual inspection -- pre-set numerical criterion/function -- other" -5.6.66 artifact 3 remove electrode visual Why did you remove bad electrodes in step 3? "- excessive line noise -- excessive muscle activity -- bad contact and other large fluctations in voltage -- dead electrode -- excessive EMG noise -- cardiac activity -- other" -5.6.67 artifact 3 remove electrode visual other Which other reasons did you have for eliminating bad electrodes visually in step 3? -5.6.68 artifact 3 remove electrode numerical Describe your numerical criterion/function for eliminating electrodes and provide numerical threshold(s) in step 3. -5.6.69 artifact 3 remove electrode other Describe your method of electrode rejection other than visual inspection or numerical criterion/function. Make sure that there is enough detail for a replication attempt. -5.6.70 artifact 3 interpolate which How did you select channels for interpolation in step 3? Describe the numerical threshold or function used to define which channels should be interpolated. -5.6.71 artifact 3 interpolate how Describe interpolation function and the settings you used in step 3. Provide appropriate details and settings, as well as a reference, if appropriate. -5.6.72 artifact 3 automated reference Reference to the automated artifact removal algorithm used in step 3 -5.6.73 artifact 3 automated parameters Describe automated artifact removal parameters in detail sufficient for replication. For example, provide numerical parameters, options selected, or describe decision-making process as closely as possible if manual, visual-inspection based decisions were involved. -5.6.74 artifact 4 What action did you take regarding artifacts in step 4? "- reject bad trial or bad data segment -- correct by subtraction (blinks, EKG etc.) -- reject channels -- interpolate channels -- multi-step automated approach (e.g., FASTER)" -5.6.75 artifact 4 software What software did you use for artifact removal in step 4? - preset:meeg_analysis_softwares -5.6.76 artifact 4 software details "Specify software version if applicable, script language if ""custom script"" was selected and software name and version if ""other"" was selected." -5.6.77 artifact 4 reject what Did you reject trials or segments of continuous data in step 4? "- trials -- data segments" -5.6.78 artifact 4 reject method How did you define your artifacts in step 4? "- visual inspection -- pre-set numerical criterion/function -- other" -5.6.79 artifact 4 reject visual Which artifacts did you remove using visual inspection in step 4? "- blinks -- saccades -- other occular -- cardiac -- motion and other EMG noise -- alpha waves -- line noise -- other" -5.6.80 artifact 4 reject visual other Which other artifacts did you remove visually? -5.6.81 artifact 4 reject numerical Describe your numerical criterion/function and provide numerical threshold(s) in step 4. -5.6.82 artifact 4 reject other Describe your method of artifact rejection other than visual inspection or numerical criterion/function. Make sure that there is enough detail for a replication attempt. -5.6.83 artifact 4 correct method Which general method of artifact correction did you use in step 4? "- regression-based approach (e.g., Gratton et al., 1983, Elbert et al., 1985) -- spatial-filter-based approach (e.g., Dale, 1994) -- ICA-based approaches -- wavelet-based -- wavelet-enhanced ICA (e.g., Khushaba et al, 2013) -- multiple-source-analysis-based approaches (e.g., MSEC by Berg & Scherg, 1994) -- other" -5.6.84 artifact 4 correct reference Reference to the artifact correction algorithm used in step 4 -5.6.85 artifact 4 correct details Describe artifact correction parameters in detail sufficient for replication. For example, provide numerical parameters, options selected, or describe decision-making process as closely as possible if manual, visual-inspection based decisions were involved. -5.6.86 artifact 4 remove electrode where From which data did you eliminate bad channels in step 4? "- from individual trials -- from segments of continuous data -- from the entire recording" -5.6.87 artifact 4 remove electrode everyone list List of channels eliminated in step 4 for all participants, separated by a semicolon and a space. -5.6.88 artifact 4 remove electrode percent Percentage of channels eliminated per participant on average in step 4 -5.6.89 artifact 4 remove electrode method What was the criterion for eliminating bad channels in step 4? "- visual inspection -- pre-set numerical criterion/function -- other" -5.6.90 artifact 4 remove electrode visual Why did you remove bad electrodes in step 4? "- excessive line noise -- excessive muscle activity -- bad contact and other large fluctations in voltage -- dead electrode -- excessive EMG noise -- cardiac activity -- other" -5.6.91 artifact 4 remove electrode visual other Which other reasons did you have for eliminating bad electrodes visually in step 4? -5.6.92 artifact 4 remove electrode numerical Describe your numerical criterion/function for eliminating electrodes and provide numerical threshold(s) in step 4. -5.6.93 artifact 4 remove electrode other Describe your method of electrode rejection other than visual inspection or numerical criterion/function. Make sure that there is enough detail for a replication attempt. -5.6.94 artifact 4 interpolate which How did you select channels for interpolation in step 4? Describe the numerical threshold or function used to define which channels should be interpolated. -5.6.95 artifact 4 interpolate how Describe interpolation function and the settings you used in step 4. Provide appropriate details and settings, as well as a reference, if appropriate. -5.6.96 artifact 4 automated reference Reference to the automated artifact removal algorithm used in step 4 -5.6.97 artifact 4 automated parameters Describe automated artifact removal parameters in detail sufficient for replication. For example, provide numerical parameters, options selected, or describe decision-making process as closely as possible if manual, visual-inspection based decisions were involved. -5.6.98 artifact 5 What action did you take regarding artifacts in step 5? "- reject bad trial or bad data segment -- correct by subtraction (blinks, EKG etc.) -- reject channels -- interpolate channels -- multi-step automated approach (e.g., FASTER)" -5.6.99 artifact 5 software What software did you use for artifact removal in step 5? - preset:meeg_analysis_softwares -5.6.100 artifact 5 software details "Specify software version if applicable, script language if ""custom script"" was selected and software name and version if ""other"" was selected." -5.6.101 artifact 5 reject what Did you reject trials or segments of continuous data in step 5? "- trials -- data segments" -5.6.102 artifact 5 reject method How did you define your artifacts in step 5? "- visual inspection -- pre-set numerical criterion/function -- other" -5.6.103 artifact 5 reject visual Which artifacts did you remove using visual inspection in step 5? "- blinks -- saccades -- other occular -- cardiac -- motion and other EMG noise -- alpha waves -- line noise -- other" -5.6.104 artifact 5 reject visual other Which other artifacts did you remove visually? -5.6.105 artifact 5 reject numerical Describe your numerical criterion/function and provide numerical threshold(s) in step 5. -5.6.106 artifact 5 reject other Describe your method of artifact rejection other than visual inspection or numerical criterion/function. Make sure that there is enough detail for a replication attempt. -5.6.107 artifact 5 correct method Which general method of artifact correction did you use in step 5? "- regression-based approach (e.g., Gratton et al., 1983, Elbert et al., 1985) -- spatial-filter-based approach (e.g., Dale, 1994) -- ICA-based approaches -- wavelet-based -- wavelet-enhanced ICA (e.g., Khushaba et al, 2013) -- multiple-source-analysis-based approaches (e.g., MSEC by Berg & Scherg, 1994) -- other" -5.6.108 artifact 5 correct reference Reference to the artifact correction algorithm used in step 5 -5.6.109 artifact 5 correct details Describe artifact correction parameters in detail sufficient for replication. For example, provide numerical parameters, options selected, or describe decision-making process as closely as possible if manual, visual-inspection based decisions were involved. -5.6.110 artifact 5 remove electrode where From which data did you eliminate bad channels in step 5? "- from individual trials -- from segments of continuous data -- from the entire recording" -5.6.111 artifact 5 remove electrode list List of channels eliminated in step 5, separated by a semicolon and a space. -5.6.112 artifact 5 remove electrode method What was the criterion for eliminating bad channels in step 5? "- visual inspection -- pre-set numerical criterion/function -- other" -5.6.113 artifact 5 remove electrode visual Why did you remove bad electrodes in step 5? "- excessive line noise -- excessive muscle activity -- bad contact and other large fluctations in voltage -- dead electrode -- excessive EMG noise -- cardiac activity -- other" -5.6.114 artifact 5 remove electrode visual other Which other reasons did you have for eliminating bad electrodes visually in step 5? -5.6.115 artifact 5 remove electrode numerical Describe your numerical criterion/function for eliminating electrodes and provide numerical threshold(s) in step 5. -5.6.116 artifact 5 remove electrode other Describe your method of electrode rejection other than visual inspection or numerical criterion/function. Make sure that there is enough detail for a replication attempt. -5.6.117 artifact 5 interpolate which How did you select channels for interpolation in step 5? Describe the numerical threshold or function used to define which channels should be interpolated. -5.6.118 artifact 5 interpolate how Describe interpolation function and the settings you used in step 5. Provide appropriate details and settings, as well as a reference, if appropriate. -5.6.119 artifact 5 automated reference Reference to the automated artifact removal algorithm used in step 5 -5.6.120 artifact 5 automated parameters Describe automated artifact removal parameters in detail sufficient for replication. For example, provide numerical parameters, options selected, or describe decision-making process as closely as possible if manual, visual-inspection based decisions were involved. -5.6.121 artifact 6 What action did you take regarding artifacts in step 6? "- reject bad trial or bad data segment -- correct by subtraction (blinks, EKG etc.) -- reject channels -- interpolate channels -- multi-step automated approach (e.g., FASTER)" -5.6.122 artifact 6 software What software did you use for artifact removal in step 6? - preset:meeg_analysis_softwares -5.6.123 artifact 6 software details "Specify software version if applicable, script language if ""custom script"" was selected and software name and version if ""other"" was selected." -5.6.124 artifact 6 reject what Did you reject trials or segments of continuous data in step 6? "- trials -- data segments" -5.6.125 artifact 6 reject method How did you define your artifacts in step 6? "- visual inspection -- pre-set numerical criterion/function -- other" -5.6.126 artifact 6 reject visual Which artifacts did you remove using visual inspection in step 6? "- blinks -- saccades -- other occular -- cardiac -- motion and other EMG noise -- alpha waves -- line noise -- other" -5.6.127 artifact 6 reject visual other Which other artifacts did you remove visually? -5.6.128 artifact 6 reject numerical Describe your numerical criterion/function and provide numerical threshold(s) in step 6. -5.6.129 artifact 6 reject other Describe your method of artifact rejection other than visual inspection or numerical criterion/function. Make sure that there is enough detail for a replication attempt. -5.6.130 artifact 6 correct method Which general method of artifact correction did you use in step 6? "- regression-based approach (e.g., Gratton et al., 1983, Elbert et al., 1985) -- spatial-filter-based approach (e.g., Dale, 1994) -- ICA-based approaches -- wavelet-based -- wavelet-enhanced ICA (e.g., Khushaba et al, 2013) -- multiple-source-analysis-based approaches (e.g., MSEC by Berg & Scherg, 1994) -- other" -5.6.131 artifact 6 correct reference Reference to the artifact correction algorithm used in step 6 -5.6.132 artifact 6 correct details Describe artifact correction parameters in detail sufficient for replication. For example, provide numerical parameters, options selected, or describe decision-making process as closely as possible if manual, visual-inspection based decisions were involved. -5.6.133 artifact 6 remove electrode where From which data did you eliminate bad channels in step 6? "- from individual trials -- from segments of continuous data -- from the entire recording" -5.6.134 artifact 6 remove electrode list List of channels eliminated in step 6, separated by a semicolon and a space. -5.6.135 artifact 6 remove electrode method What was the criterion for eliminating bad channels in step 6? "- visual inspection -- pre-set numerical criterion/function -- other" -5.6.136 artifact 6 remove electrode visual Why did you remove bad electrodes in step 6? "- excessive line noise -- excessive muscle activity -- bad contact and other large fluctations in voltage -- dead electrode -- excessive EMG noise -- cardiac activity -- other" -5.6.137 artifact 6 remove electrode visual other Which other reasons did you have for eliminating bad electrodes visually in step 6? -5.6.138 artifact 6 remove electrode numerical Describe your numerical criterion/function for eliminating electrodes and provide numerical threshold(s) in step 6. -5.6.139 artifact 6 remove electrode other Describe your method of electrode rejection other than visual inspection or numerical criterion/function. Make sure that there is enough detail for a replication attempt. -5.6.140 artifact 6 interpolate which How did you select channels for interpolation in step 6? Describe the numerical threshold or function used to define which channels should be interpolated. -5.6.141 artifact 6 interpolate how Describe interpolation function and the settings you used in step 6. Provide appropriate details and settings, as well as a reference, if appropriate. -5.6.142 artifact 6 automated reference Reference to the automated artifact removal algorithm used in step 6 -5.6.143 artifact 6 automated parameters Describe automated artifact removal parameters in detail sufficient for replication. For example, provide numerical parameters, options selected, or describe decision-making process as closely as possible if manual, visual-inspection based decisions were involved. -5.6.144 artifact 7 What action did you take regarding artifacts in step 7? "- reject bad trial or bad data segment -- correct by subtraction (blinks, EKG etc.) -- reject channels -- interpolate channels -- multi-step automated approach (e.g., FASTER)" -5.6.145 artifact 7 software What software did you use for artifact removal in step 7? - preset:meeg_analysis_softwares -5.6.146 artifact 7 software details "Specify software version if applicable, script language if ""custom script"" was selected and software name and version if ""other"" was selected." -5.6.147 artifact 7 reject what Did you reject trials or segments of continuous data in step 7? "- trials -- data segments" -5.6.148 artifact 7 reject method How did you define your artifacts in step 7? "- visual inspection -- pre-set numerical criterion/function -- other" -5.6.149 artifact 7 reject visual Which artifacts did you remove using visual inspection in step 7? "- blinks -- saccades -- other occular -- cardiac -- motion and other EMG noise -- alpha waves -- line noise -- other" -5.6.150 artifact 7 reject visual other Which other artifacts did you remove visually? -5.6.151 artifact 7 reject numerical Describe your numerical criterion/function and provide numerical threshold(s) in step 7. -5.6.152 artifact 7 reject other Describe your method of artifact rejection other than visual inspection or numerical criterion/function. Make sure that there is enough detail for a replication attempt. -5.6.153 artifact 7 correct method Which general method of artifact correction did you use in step 7? "- regression-based approach (e.g., Gratton et al., 1983, Elbert et al., 1985) -- spatial-filter-based approach (e.g., Dale, 1994) -- ICA-based approaches -- wavelet-based -- wavelet-enhanced ICA (e.g., Khushaba et al, 2013) -- multiple-source-analysis-based approaches (e.g., MSEC by Berg & Scherg, 1994) -- other" -5.6.154 artifact 7 correct reference Reference to the artifact correction algorithm used in step 7 -5.6.155 artifact 7 correct details Describe artifact correction parameters in detail sufficient for replication. For example, provide numerical parameters, options selected, or describe decision-making process as closely as possible if manual, visual-inspection based decisions were involved. -5.6.156 artifact 7 remove electrode where From which data did you eliminate bad channels in step 7? "- from individual trials -- from segments of continuous data -- from the entire recording" -5.6.157 artifact 7 remove electrode list List of channels eliminated in step 7, separated by a semicolon and a space. -5.6.158 artifact 7 remove electrode method What was the criterion for eliminating bad channels in step 7? "- visual inspection +5.6.15 artifact 1 remove channel if for all Were there any channels that were eliminated for all participants? "- yes +- no" +5.6.16 artifact 1 remove channel everyone list List of channels eliminated in step 1 for all participants, separated by a semicolon and a space. +5.6.17 artifact 1 remove channel percent Percentage of channels eliminated per participant on average in step 1 +5.6.18 artifact 1 remove channel method What was the criterion for eliminating bad channels in step 1? "- visual inspection - pre-set numerical criterion/function - other" -5.6.159 artifact 7 remove electrode visual Why did you remove bad electrodes in step 7? "- excessive line noise +5.6.19 artifact 1 remove channel visual Why were bad channels removed in step 1? "- excessive line noise - excessive muscle activity - bad contact and other large fluctations in voltage - dead electrode - excessive EMG noise - cardiac activity - other" -5.6.160 artifact 7 remove electrode visual other Which other reasons did you have for eliminating bad electrodes visually in step 7? -5.6.161 artifact 7 remove electrode numerical Describe your numerical criterion/function for eliminating electrodes and provide numerical threshold(s) in step 7. -5.6.162 artifact 7 remove electrode other Describe your method of electrode rejection other than visual inspection or numerical criterion/function. Make sure that there is enough detail for a replication attempt. -5.6.163 artifact 7 interpolate which How did you select channels for interpolation in step 7? Describe the numerical threshold or function used to define which channels should be interpolated. -5.6.164 artifact 7 interpolate how Describe interpolation function and the settings you used in step 7. Provide appropriate details and settings, as well as a reference, if appropriate. -5.6.165 artifact 7 automated reference Reference to the automated artifact removal algorithm used in step 7 -5.6.166 artifact 7 automated parameters Describe automated artifact removal parameters in detail sufficient for replication. For example, provide numerical parameters, options selected, or describe decision-making process as closely as possible if manual, visual-inspection based decisions were involved. -5.6.167 artifact removal more than 7 We are sorry, but this is an early version of the web-app, and it currently includes up to 7 steps of artifact removal decisions due to technical limitations. Describe your remaining decisions in this field as detailed as you can. +5.6.20 artifact 1 remove channel visual other Which reasons, other than listed, were there for eliminating bad channels visually in step 1? +5.6.21 artifact 1 remove channel numerical Describe the numerical criterion/function for eliminating channels and provide numerical threshold(s) in step 1. +5.6.22 artifact 1 remove channel other Describe method of channel rejection. Make sure that there is enough detail for a replication attempt. +5.6.23 artifact 1 interpolate which How did you select channels for interpolation in step 1? Describe the numerical threshold or function used to define which channels should be interpolated. +5.6.24 artifact 1 interpolate how Describe interpolation function and the settings you used in step 1. Provide appropriate details and settings, as well as a reference, if appropriate. +5.6.25 artifact 1 automated reference Reference to the automated artifact removal algorithm used in step 1 +5.6.26 artifact 1 automated parameters Describe automated artifact removal parameters in detail sufficient for replication. For example, provide numerical parameters, options selected, or describe decision-making process as closely as possible if manual, visual-inspection based decisions were involved. 5.7 - EPOCHING -5.7.1 epoch any Did you epoch data outside of the automated pre-processing pipelines described earlier? "- yes +5.7.1 epoch any Were data epoched outside of the automated pre-processing pipelines described earlier? "- yes - no" -5.7.2 epoch software Which analysis software did you use for epoching EEG data? - preset:meeg_analysis_softwares +5.7.2 epoch software Which analysis software was used for epoching EEG data? - preset:meeg_analysis_softwares 5.7.3 epoch software details "Specify software version if applicable, script language if ""custom script"" was selected, and software name and version if ""other"" was selected." -5.7.4 epoch beginning What was the epoch beginning relative to a trigger point? For timings after the trigger, use positive numbers. For timings before the trigger, use negative numbers. +5.7.4 epoch beginning What was the epoch beginning relative to a trigger point? For timings after the trigger, use positive numbers. For timings before the trigger, use negative numbers. 5.7.5 epoch trigger event What was the event type relative to which epochs were defined? "- stimulus onset - response - feedback onset - other" 5.7.6 epoch trigger event other If other, what is the event? -5.7.7 epoch end What was the epoch end relative to a trigger point? For timings after the trigger, use positive numbers. For timings before the trigger, use negative numbers. +5.7.7 epoch end What was the epoch end relative to a trigger point? For timings after the trigger, use positive numbers. For timings before the trigger, use negative numbers. 5.8 - BASELINE CORRECTION -5.8.1 baseline any Did you apply baseline correction? "- yes -- no" This does not include baseline correction within automated pipelines, if you had applied any. -5.8.2 baseline software Which analysis software did you use for baseline correction? - preset:meeg_analysis_softwares +5.8.1 baseline any Was baseline correction applied to the data (outside of the automated pre-processing pipelines described earlier)? "- yes +- no" +5.8.2 baseline software Which analysis software was used for baseline correction? - preset:meeg_analysis_softwares 5.8.3 baseline software details "Specify software version if applicable, script language if ""custom script"" was selected, and software name and version if ""other"" was selected." -5.8.4 baseline beginning What was the baseline period beginning relative to a trigger point? For timings after the trigger, use positive numbers. For timings before the trigger, use negative numbers. -5.8.5 baseline end What was the baseline period end relative to a trigger point? For timings after the trigger, use positive numbers. For timings before the trigger, use negative numbers. +5.8.4 baseline beginning What was the baseline period beginning relative to a trigger point? For timings after the trigger, use positive numbers. For timings before the trigger, use negative numbers. +5.8.5 baseline end What was the baseline period end relative to a trigger point? For timings after the trigger, use positive numbers. For timings before the trigger, use negative numbers. 5.8.6 baseline method Which baseline calculation method was used? "- subtract mean of the baseline period per condition - other" 5.8.7 baseline other method details Describe your baseline calculation method other than subtraction of the mean of the baseline. @@ -658,56 +439,58 @@ item field question options instructions 2 - DESIGN_SAMPLE 2.1 - SAMPLE SIZE 2.1.1 sample size total How many subjects participated in the study? -2.1.2 sample size valid How many participants, in total, were included in the analysis, after exclusion participants with bad data? +2.1.2 sample size valid How many participants, in total, were included in the analysis, after exclusion of participants? 2.1.3 subject exclusion rationale Specify reasons for excluding participants. -2.1.4 number of groups How many experimental/comparison (between-subjects) groups did the study feature? -2.1.5 order of group Specify group names separated by semicolon and a space (e.g., test group; control group) -2.1.6 participants per group How many participants did each group have after exclusion? Input numeric values in the same order in which groups were listed in the previous section. Values should be separated by semicolon and a space. -2.2 - PRESENTED TRIALS -2.2.1 total nb of within subject conditions How many within-subject conditions did the study have? -2.2.2 within subject condition names Specify condition names separated by semicolon and a space (e.g., match; mismatch). -2.2.3 trial presentation strategy What determined the number of trials each subject was presented with? "- fixed N of trials delivered +2.2 - GROUPS AND WITHIN-SUBJECT CONDITIONS +2.2.1 number of groups How many experimental/comparison (between-subjects) groups did the study feature? If participants were not divided into separate groups, please enter 1 to indicate 1 condition +2.2.2 order of group Specify group names separated by semicolon and a space (e.g., test group; control group) +2.2.3 participants per group How many participants did each group have after exclusion? Input numeric values in the same order in which groups were listed in the previous section. Values should be separated by semicolon and a space. +2.2.4 total nb of within subject conditions How many within-subject conditions did the study have? If your within subjects data is not divided into separate conditions, please enter 1 to indicate 1 condition +2.2.5 within subject condition names Specify condition names separated by semicolon and a space (e.g., match; mismatch). +2.3 - PRESENTED TRIALS +2.3.1 trial presentation strategy What determined the number of trials each subject was presented with? "- fixed N of trials delivered - adaptive N of trials (e.g., presenting trials with behavioural errors again until correct response) - Other" -2.2.4 total nb of trials How many trials in total was each subject presented with (including repetition of the same stimuli or trials)? -2.2.5 total nb of trials condition How many trials did each condition feature (including repetition of the same stimuli or trials)? Values should be separated by semicolon and a space and given in the same order as the conditions were listed earlier. If there are multiple groups of participants, list trial counts for all conditions for one group, and then for the next one - following the ordering of groups as you specified them earlier. -2.2.6 trial presentation strategy other Explain how it was determined how many trials a participant was presented with. -2.2.7 avg total nb trials adaptive other How many trials on average was a participant presented with, in total (including repetition of the same stimuli or trials)? -2.2.8 min total nb trials adaptive other What was the minimum number of trials a participant was presented with, in total (including repetition of the same stimuli or trials)? -2.2.9 max total nb trials adaptive other What was the maximum number of trials a participant was presented with, in total (including repetition of the same stimuli or trials)? -2.2.10 avg nb trials adaptive other condition How many trials on average was a participant presented with, per condition (including repetition of the same stimuli or trials)? Values should be separated by semicolon and a space and given in the same order as the conditions were listed earlier. If there are multiple groups of participants, list trial counts for all conditions for one group, and then for the next one - following the ordering of groups as you specified them earlier. -2.2.11 min nb trials adaptive other condition What was the minimum number of trials a participant was presented with, per condition (including repetition of the same stimuli or trials)? Values should be separated by semicolon and a space and given in the same order as the conditions were listed earlier. If there are multiple groups of participants, list trial counts for all conditions for one group, and then for the next one - following the ordering of groups as you specified them earlier. -2.2.12 max nb trials adaptive other condition What was the maximum number of trials a participant was presented with, per condition (including repetition of the same stimuli or trials)? Values should be separated by semicolon and a space and given in the same order as the conditions were listed earlier. If there are multiple groups of participants, list trial counts for all conditions for one group, and then for the next one - following the ordering of groups as you specified them earlier. -2.3 - ANALYZED TRIALS -2.3.1 avg nb of trials condition After eliminating trials on all bases (e.g., artifacts, behavioural errors), how many trials, on average, did you include for each condition per subject? Insert numbers for each condition, separated by a semicolon and a space, in the same order as the conditions were listed earlier. If there are multiple groups of participants, list trial counts for all conditions for one group, and then for the next one - following the ordering of groups as you specified them earlier -2.3.2 min nb of trials per condition Specify the minimum number of trials analyzed per condition for any subject. Values should be separated by semicolon and a space and given in the same order as the conditions were listed earlier. If there are multiple groups of participants, list trial counts for all conditions for one group, and then for the next one - following the ordering of groups as you specified them earlier. -2.3.3 max nb of trials per condition Specify the maximum number of trials analyzed per condition for any subject. Values should be separated by semicolon and a space and given in the same order as the conditions were listed earlier. If there are multiple groups of participants, list trial counts for all conditions for one group, and then for the next one - following the ordering of groups as you specified them earlier. -2.4 - PRESENTING SOFTWARE -2.4.1 presenting software Which presenting software did you use to show your experimental task? - preset:stimulus_presentation_softwares -2.4.2 presenting software details "Specify software version if applicable, and software name and version if ""other"" was selected." +2.3.2 total nb of trials How many trials in total was each subject presented with (including repetition of the same stimuli or trials)? +2.3.3 total nb of trials condition How many trials did each condition feature (including repetition of the same stimuli or trials)? Values should be separated by semicolon and a space and given in the same order as the conditions were listed earlier. If there are multiple groups of participants, list trial counts for all conditions for one group, and then for the next one - following the ordering of groups as you specified them earlier. +2.3.4 trial presentation strategy other Explain how it was determined how many trials a participant was presented with. +2.3.5 avg total nb trials adaptive other How many trials on average was a participant presented with, in total (including repetition of the same stimuli or trials)? +2.3.6 min total nb trials adaptive other What was the minimum number of trials a participant was presented with, in total (including repetition of the same stimuli or trials)? +2.3.7 max total nb trials adaptive other What was the maximum number of trials a participant was presented with, in total (including repetition of the same stimuli or trials)? +2.3.8 avg nb trials adaptive other condition How many trials on average was a participant presented with, per condition (including repetition of the same stimuli or trials)? Values should be separated by semicolon and a space and given in the same order as the conditions were listed earlier. If there are multiple groups of participants, list trial counts for all conditions for one group, and then for the next one - following the ordering of groups as you specified them earlier. +2.3.9 min nb trials adaptive other condition What was the minimum number of trials a participant was presented with, per condition (including repetition of the same stimuli or trials)? Values should be separated by semicolon and a space and given in the same order as the conditions were listed earlier. If there are multiple groups of participants, list trial counts for all conditions for one group, and then for the next one - following the ordering of groups as you specified them earlier. +2.3.10 max nb trials adaptive other condition What was the maximum number of trials a participant was presented with, per condition (including repetition of the same stimuli or trials)? Values should be separated by semicolon and a space and given in the same order as the conditions were listed earlier. If there are multiple groups of participants, list trial counts for all conditions for one group, and then for the next one - following the ordering of groups as you specified them earlier. +2.4 - ANALYZED TRIALS +2.4.1 avg nb of trials condition After eliminating trials on all bases (e.g., artifacts, behavioural errors), how many trials, on average, did you include for each condition per subject? Insert numbers for each condition, separated by a semicolon and a space, in the same order as the conditions were listed earlier. If there are multiple groups of participants, list trial counts for all conditions for one group, and then for the next one - following the ordering of groups as you specified them earlier +2.4.2 min nb of trials per condition Specify the minimum number of trials analyzed per condition for any subject. Values should be separated by semicolon and a space and given in the same order as the conditions were listed earlier. If there are multiple groups of participants, list trial counts for all conditions for one group, and then for the next one - following the ordering of groups as you specified them earlier. +2.4.3 max nb of trials per condition Specify the maximum number of trials analyzed per condition for any subject. Values should be separated by semicolon and a space and given in the same order as the conditions were listed earlier. If there are multiple groups of participants, list trial counts for all conditions for one group, and then for the next one - following the ordering of groups as you specified them earlier. +2.5 - PRESENTING SOFTWARE +2.5.1 presenting software Which presenting software did you use to show your experimental task? - preset:stimulus_presentation_softwares +2.5.2 presenting software details "Specify software version if applicable, programming language if ""custom script"" was selected, and software name and version if ""other"" was selected." 6 - MEASUREMENT 6.1 - MEASUREMENT -6.1.1 measure intro Did you measure amplitude and/or latency for the purposes of later statistical analysis? "- yes +6.1.1 measure intro Did this study include measuring amplitude and/or latency for the purposes of later statistical analysis? "- yes - no" Select no if you did not measure latency or amplitude for the purposes of statistical analysis in the next step. For example, you may have conducted a mass univariate analysis and you did not subject locations and time windows obtained by mass univariate approach to another statistical analysis, or you may have conducted a source analysis. -6.1.2 measure type Select the types of measurements you conducted. "- amplitude +6.1.2 measure type Select the types of measurements that were taken. "- amplitude - latency" 6.2 - AMPLITUDE MEASUREMENT - SOFTWARE 6.2.1 amp measure software Amplitude measurement software - preset:meeg_analysis_softwares -6.2.2 amp measure software details "Specify software version if applicable, and software name and version if ""other"" was selected." +6.2.2 amp measure software details "Specify software version if applicable, script language if ""custom script"" was selected, and software name and version if ""other"" was selected." 6.3 - AMPLITUDE MEASUREMENT - WAVEFORMS 6.3.1 amp measured from The amplitude is measured from - preset:waveform 6.3.2 waveform difference waves Which conditions were subtracted from which? Specify how difference waves were constructed. -6.3.3 waveform further details How did you calculate your waveforms for analysis? Describe in detail sufficient to allow replication. +6.3.3 waveform further details How were waveforms calculated for analysis? Describe in detail sufficient to allow replication. 6.4 - AMPLITUDE MEASUREMENT - MEASURE -6.4.1 amp measure procedure Select procedure which was used for amplitude measurement in this time window. - preset:amplitude_measurement +6.4.1 amp measure procedure Select procedure(s) used for amplitude measurement in this time window. - preset:amplitude_measurement 6.4.2 amp measure peak positivity Was the peak negative or positive? "- negative - positive" -6.4.3 amp measure peak method What method did you use for peak calculation? "- simple peak +6.4.3 amp measure peak method What method was used for peak calculation? "- simple peak - local peak" -6.4.4 window area measure type Which window area measure did you use? "- rectified +6.4.4 window area measure type Which window area measure was used? "- rectified - signed - integral" -6.4.5 amp measure details Describe the procedure for amplitude measurement calculation in detail sufficient for its replication. +6.4.5 amp measure factor details Describe the procedure for amplitude measurement calculation using factor scores. Description should be detailed enough for a reader to replicate the procedure. +6.4.6 amp measure other details "Describe the procedure(s) for amplitude measurement calculation for which you selected ""other"" (in detail sufficient for its replication)." "This is meant to describe procedure other than what has been offered in the Question ""Select procedure(s) used for amplitude measurement in this time window""." 6.5 - AMPLITUDE MEASUREMENT - TIME WINDOW 6.5.1 amp time window selection How was the amplitude measurement window selected? "- a priori - data-driven selection/identification of the time window from the entire epoch @@ -720,19 +503,19 @@ item field question options instructions - other" 6.5.3 amp literature reference Literature references, separated by semicolon and space 6.5.4 amp literature similar Provide reasons for deviation or explan how the cited time windows were combined -6.5.5 amp theory Theory behind a-priori window selection (including e.g., thresholds or references if relevant) -6.5.6 amp selection other reasons Describe your a-priori window selection process other than those listed -6.5.7 amp measure start a priori Provide the start of the a priori selected time window for amplitude measurement. -6.5.8 amp measure end a priori Provide the end of the a priori selected time window for amplitude measurement. +6.5.5 amp theory Theory behind a-priori time window selection (including e.g., thresholds or references if relevant) +6.5.6 amp selection other reasons Describe a-priori time window selection process other than those listed +6.5.7 amp measure start a priori Start of the a priori selected time window for amplitude measurement +6.5.8 amp measure end a priori End of the a priori selected time window for amplitude measurement 6.5.9 amp window selection data driven broad Select the procedure which was used to identify start and end of the initial time window. "- visual inspection of waveforms (separate or collapsed conditions) - visual inspection of global field potentials - significant effects on consecutive time points/short windows - time window around a peak - other" vis. inspection across all conditions also known as flattened average approach, for more details see Gaspelin and Luck or https://doi.org/10.1371/journal.pcbi.1008286 -6.5.10 amp window selection data driven broad visual Which waveforms/conditions did you inspect visually to select the initial time window for this effect? "- all conditions separately +6.5.10 amp window selection data driven broad visual Which waveforms/conditions were inspected visually to select the initial time window for this effect? "- all conditions separately - all conditions collapsed into one average waveform - other" -6.5.11 amp selection data driven broad visual details Describe which conditions or combinations of conditions you used for visual inspection. +6.5.11 amp selection data driven broad visual details Describe which conditions or combinations of conditions were used for visual inspection. 6.5.12 amp window length sig tests broad How broad were the windows that were consecutively tested? 6.5.13 amp window overlap sig tests broad Did the consecutive time windows overlap? "- yes - no" @@ -740,7 +523,7 @@ item field question options instructions 6.5.15 amp window no sig tests broad How many consecutive significant tests were required to identify an effect? 6.5.16 amp window peakwindow length broad How wide was the window around peak? 6.5.17 amp window peakwindow length rationale broad Rationale for selecting this window length -6.5.18 amp window other broad Describe your method of selection of the initial time window used to measure amplitude other than listed. +6.5.18 amp window other broad Describe method of selection of the initial time window used to measure amplitude other than listed. 6.5.19 amp window start data driven broad Start of the window which was used to provide broader borders for the final time window selection. 6.5.20 amp window end data driven broad End of the window which was used to provide broader borders for the final time window selection. 6.5.21 amp window selection data driven final Select the procedure which was used to identify start and end of the final time window. "- visual inspection of waveforms (separate or collapsed conditions) @@ -748,10 +531,10 @@ item field question options instructions - significant effects on consecutive time points/short windows - time window around a peak - other" vis. inspection across all conditions also known as flattened average approach, for more details see Gaspelin and Luck or https://doi.org/10.1371/journal.pcbi.1008286 -6.5.22 amp window selection data driven final visual Which waveforms/conditions did you inspect visually to select the final time window for this effect? "- all conditions separately +6.5.22 amp window selection data driven final visual Which waveforms/conditions were inspected visually to select the final time window for this effect? "- all conditions separately - all conditions collapsed into one average waveform - other" -6.5.23 amp selection data driven final visual details Describe which conditions or combinations of conditions you used for visual inspection. +6.5.23 amp selection data driven final visual details Describe which conditions or combinations of conditions were used for visual inspection. 6.5.24 amp window length sig tests final How broad were the windows that were consecutively tested? 6.5.25 amp window overlap sig tests final Did the consecutive time windows overlap? "- yes - no" @@ -759,35 +542,37 @@ item field question options instructions 6.5.27 amp window no sig tests final How many consecutive significant tests were required to identify an effect? 6.5.28 amp window peakwindow length final How wide was the window around peak? 6.5.29 amp window peakwindow lengthrationale final Rationale for selecting this window length -6.5.30 amp window other final Describe your method of selection of the final time window used to measure amplitude other than listed. +6.5.30 amp window other final Describe method of selection of the final time window used to measure amplitude other than listed. 6.5.31 amp window start data driven final Start of the window which was eventually used for amplitude measurement or where the effect was found. 6.5.32 amp window end data driven final End of the window which was eventually used for amplitude measurement or where the effect was found. 6.6 - LATENCY MEASUREMENT - SOFTWARE 6.6.1 lat measure software Latency measurement software - preset:meeg_analysis_softwares -6.6.2 lat measure software details "Specify software version if applicable, and software name and version if ""other"" was selected." +6.6.2 lat measure software details "Specify software version if applicable, script language if ""custom script"" was selected, and software name and version if ""other"" was selected." 6.7 - LATENCY MEASUREMENT - WAVEFORMS 6.7.1 lat measured from Latency was measured from: - preset:waveform 6.7.2 lat difference waves Which conditions were subtracted from which? Specify how difference waves were constructed. -6.7.3 lat waveform further details How did you calculate your waveforms for analysis? Describe in detail sufficient to allow replication. +6.7.3 lat waveform further details How were the waveforms used for analysis calculated? Describe in detail sufficient to allow replication. 6.8 - LATENCY MEASUREMENT - MEASURE -6.8.1 lat type Describe the latency type. "- midpoint +6.8.1 lat type Latency type(s) "- midpoint - onset - other" -6.8.2 peak lat measure How did you calculate the midpoint of this latency? "- simple peak +6.8.2 peak lat measure Midpoint latency measure(s) "- simple peak - local peak - 50% area - other" -6.8.3 peak lat measure other How did you calculate midpoint latency other than listed? -6.8.4 onset lat measure How did you calculate the onset of this latency? - preset:latency_measurement Select procedure which was used for latency measurement in this time window and describe all details neccessary for replicating this procedure in Further clarification. -6.8.5 onset lat sig tests length How broad were the windows that were consecutively tested? -6.8.6 onset lat sig tests overlap Did the consecutive time windows overlap? "- yes +6.8.3 peak lat measure other How was midpoint latency calculated in a way other than listed? Describe in detail sufficient for a reader to replicate the procedure. +6.8.4 onset lat measure Onset latency measure(s) - preset:latency_measurement +6.8.5 onset lat extrapolation describe Describe how the onset latency was extrapolated from the waveform slope, step by step. Describe in detail sufficient for a reader to replicate the procedure. +6.8.6 onset lat chance describe Describe how it was determined when the difference is larger than chance and this information was used to pinpoint onset latency. Describe in detail sufficient for a reader to replicate the procedure. +6.8.7 onset lat sig tests length How broad were the windows that were consecutively tested? +6.8.8 onset lat sig tests overlap Did the consecutive time windows overlap? "- yes - no" -6.8.7 onset lat sig tests overlap length By how many milliseconds did they overlap? -6.8.8 onset lat sig tests no How many consecutive significant tests were required to identify an effect? -6.8.9 onset lat peak fraction What fraction of peak amplitude was used to determine onset latency? -6.8.10 onset lat area fraction What fraction of window area was used to determine onset latency? -6.8.11 onset lat describe Describe your onset latency calculation procedure step by step. -6.8.12 other lat describe Describe your other latency calculation procedure step by step. +6.8.9 onset lat sig tests overlap length By how many milliseconds did they overlap? +6.8.10 onset lat sig tests no How many consecutive significant tests were required to identify an effect? +6.8.11 onset lat peak fraction What fraction of peak amplitude was used to determine onset latency? +6.8.12 onset lat area fraction What fraction of window area was used to determine onset latency? +6.8.13 onset lat other describe "Describe onset latency calculation procedure for which you selected ""other"", step by step." "Describe in detail sufficient for a reader to replicate the procedure. This question is visible because you selected ""other"" on Question ""How did you calculate the onset of this latency?""" +6.8.14 other lat describe Describe calculation procedure other than midpoint or onset, step by step. Describe in detail sufficient for a reader to replicate the procedure. 6.9 - LATENCY MEASUREMENT - TIME WINDOW 6.9.1 lat selection approach Approach to selection of the window within which latency was located "- a priori - data-driven @@ -800,23 +585,23 @@ item field question options instructions 6.9.3 lat literature exact Literature references, separated by semicolon and space 6.9.4 lat literature similar Provide reasons for deviation or explan how the cited time windows were combined 6.9.5 lat theory Theory behind a-priori window selection (including implementation of regions, thresholds etc, and references if relevant) -6.9.6 lat selection other reasons Describe your a-priori window selection process other than those listed +6.9.6 lat selection other reasons Describe a-priori window selection process other than those listed 6.9.7 lat selection approach data driven Select the procedure which was used to identify start and end of the latency measurement time window. "- visual inspection of grand averages in separate conditions across participants - visual inspection of grand average collapsed across all conditions and participants - other" -6.9.8 lat selection approach data driven visual Which waveforms/conditions did you inspect visually to select the time window for latency measurement? "- all conditions separately +6.9.8 lat selection approach data driven visual Which waveforms/conditions were inspected visually to select the time window for latency measurement? "- all conditions separately - all conditions collapsed into one average waveform - other" -6.9.9 lat selection approach data driven visual details Describe which conditions or combinations of conditions you used for visual inspection. -6.9.10 lat selection approach data driven other Describe your method of selection of the latency measurement time window other than listed. -6.9.11 lat further clarification Describe how you selected the latency measurement time window. -6.9.12 lat measure window start Provide the start of the window which was used to measure latency. Measurement window: START -6.9.13 lat measure window end Provide the end of the window which was used to measure latency. Measurement window: END +6.9.9 lat selection approach data driven visual details Describe which conditions or combinations of conditions were used for visual inspection. +6.9.10 lat selection approach data driven other Describe method of selection of the latency measurement time window other than listed. +6.9.11 lat further clarification Describe how the latency measurement time window was selected. +6.9.12 lat measure window start Start of the window which was used to measure latency +6.9.13 lat measure window end End of the window which was used to measure latency 7 - CHANNELS 7.1 - SELECTION OF CHANNELS FOR ANALYSIS -7.1.1 channels all vs subset Did you make a selection of channels for the purposes of statistical analysis? "- all channels were submitted to statistical analysis -- a subset of channels was submitted to statistical analysis" "This question is about which channels were included in statistical analysis, either as individual channels or averaged/aggregated into regions of interest (ROI). You will be asked about potential channel averaging into ROIs later in this section. How to choose option here: For example, if you conducted an analysis such as cluster-based permutation tests on the entire scalp, you should pick ""all channels were submitted to analysis"", and not describe permutation tests in this section. If you completed cluster-based permutation tests on a subset of electrodes, you should select the other option, and then describe how this subset of electrodes was selected in the follow-up questions." -7.1.2 chan selection What was the rationale for selecting this exact subset of electrodes? "- a priori +7.1.1 channels all vs subset Was a subset of channels selected for the purposes of statistical analysis? "- all channels were submitted to statistical analysis +- a subset of channels was submitted to statistical analysis" "This question is about which channels were included in statistical analysis, either as individual channels or averaged/aggregated into regions of interest (ROI). You will be asked about potential channel averaging into ROIs later in this section. How to choose option here: For example, if you conducted an analysis such as cluster-based permutation tests on the entire scalp, you should pick ""all channels were submitted to analysis"", and not describe permutation tests in this section. If you completed cluster-based permutation tests on a subset of channels, you should select the other option, and then describe how this subset of channels was selected in the follow-up questions." +7.1.2 chan selection What was the rationale for selecting this exact subset of channels? "- a priori - data-driven selection from the entire scalp - data-driven selection of channels from an a priori selected region - selection/identification of channels in two data driven steps (e.g. location of maximal effect within a visually identified broader region) @@ -828,56 +613,56 @@ item field question options instructions 7.1.4 chan selection a priori literature reference Literature references, separated by semicolon and space 7.1.5 chan selection a priori literature similar Provide reasons for deviation or explan how the cited channel choices were combined 7.1.6 chan selection a priori theory Theory behind a-priori novel channel selection (including, e.g., thresholds or references if relevant) -7.1.7 chan selection a priori other Describe your a-priori channel selection process other than those listed +7.1.7 chan selection a priori other Describe a-priori channel selection process other than those listed 7.1.8 chan a priori number Number of a priori selected channels 7.1.9 chan a priori list List of a priori selected channels, separated by a semicolon and a space 7.1.10 chan selection data driven broad Select the procedure which was used to identify the initial set of channels which was used to make the final selection of channels in the next step. "- visual inspection of waveforms (separate or collapsed conditions) - visual inspection of global field potentials - visual inspection of voltage maps (separate or collapsed conditions) -- significant effects on multiple neighbouring electrodes +- significant effects on multiple neighbouring channels - N channels arround the largest effect - other" -7.1.11 chan selection data driven broad visual Which experimental conditions did you inspect visually to select channel region? "- all conditions separately +7.1.11 chan selection data driven broad visual Which experimental conditions were inspected visually to select channel region? "- all conditions separately - all conditions collapsed into one average waveform - other" -7.1.12 chan selection data driven broad visual details Describe which conditions or combinations of conditions did you use for visual inspection of the channel region for this effect? -7.1.13 chan selection data driven broad neighbours What was the criterion for the size of the cluster of neighbouring electrodes that needed to be significant to be selected for statistical analysis? -7.1.14 chan selection data driven broad neighbours maxregion How did you select the channels around the peak effect for analysis? -7.1.15 chan selection data driven broad neighbours other Describe your method of selection of the initial set of electrodes used for analysis other than listed. +7.1.12 chan selection data driven broad visual details Describe which conditions or combinations of conditions were used for visual inspection of the channel region for this effect? +7.1.13 chan selection data driven broad neighbours What was the criterion for the size of the cluster of neighbouring channels that needed to be significant to be selected for statistical analysis? +7.1.14 chan selection data driven broad neighbours maxregion How were the channels around the peak effect selected for analysis? +7.1.15 chan selection data driven broad neighbours other Describe method of selection of the initial set of channels used for analysis other than listed. 7.1.16 chan selection data driven broad number Number of channels selected in this step 7.1.17 chan selection data driven broad list List of channels selected in this step, separated by a semicolon and a space -7.1.18 chan selection data driven final Select the procedure which was used to identify the set of electrodes which was submitted to statistical analysis. "- visual inspection of waveforms (separate or collapsed conditions) +7.1.18 chan selection data driven final Select the procedure which was used to identify the set of channels which was submitted to statistical analysis. "- visual inspection of waveforms (separate or collapsed conditions) - visual inspection of global field potentials - visual inspection of voltage maps (separate or collapsed conditions) -- significant effects on multiple neighbouring electrodes +- significant effects on multiple neighbouring channels - N channels arround the largest effect - other" -7.1.19 chan selection data driven final visual Which experimental conditions did you inspect visually to select the final list of channels for this effect? "- all conditions separately +7.1.19 chan selection data driven final visual Which experimental conditions were inspected visually to select the final list of channels for this effect? "- all conditions separately - all conditions collapsed into one average waveform - other" -7.1.20 chan selection data driven final visual details Describe which conditions or combinations of conditions did you use for visual inspection of the channel region for this effect? -7.1.21 chan selection data driven final neighbours What was the criterion for the size of the cluster of neighbouring electrodes that needed to be significant to be selected for statistical analysis? -7.1.22 chan selection data driven final neighbours maxregion How did you select the channels around the peak effect for analysis? -7.1.23 chan selection data driven final neighbours other Describe your method of selection of the set of electrodes used for analysis other than listed. +7.1.20 chan selection data driven final visual details Describe which conditions or combinations of conditions were used for visual inspection of the channel region for this effect? +7.1.21 chan selection data driven final neighbours What was the criterion for the size of the cluster of neighbouring channels that needed to be significant to be selected for statistical analysis? +7.1.22 chan selection data driven final neighbours maxregion How were the channels around the peak effect selected for analysis? +7.1.23 chan selection data driven final neighbours other Describe method of selection of the set of channels used for analysis other than listed. 7.1.24 chan selection data driven final number Number of channels selected in this step 7.1.25 chan selection data driven final list List of channels selected in this step, separated by a semicolon and a space -7.1.26 chan selection other Describe the criterion/criteria for selecting this exact subset of electrodes other than the options offered above. +7.1.26 chan selection other Describe the criterion/criteria for selecting this exact subset of channels other than the options offered above. 7.2 - CHANNEL AGGREGATING -7.2.1 chan aggregating used Did you enter channels separately into statistical analysis or did you aggregate them into regions before conducting the statistical analysis? "- individual channels +7.2.1 chan aggregating used Were the channels entered separately into statistical analysis or were they aggregated into regions before conducting the statistical analysis? "- individual channels - channels aggregated into regions of interest (ROIs)" -7.2.2 chan aggregating which regions Describe which channels were aggregated together to form regions of interest. "For example: ""Fz, F3, and F4 were averaged into a frontal region, while Cz, C3 and C4 were averaged into a central region.""" -7.2.3 chan aggregating averaging Did you aggregate channels by averaging? "- aggregating by simple averaging +7.2.2 chan aggregating which channels Describe which channels were aggregated together to form regions of interest. "For example: ""Fz, F3, and F4 were averaged into a frontal region, while Cz, C3 and C4 were averaged into a central region.""" +7.2.3 chan aggregating averaging Were the channels aggregated by averaging? "- aggregating by simple averaging - aggregating by a different function (e.g., weighted averaging)" 7.2.4 chan aggretating other methods Describe how the channels were aggregated into regions, if they were not averaged. For example, if weighted averaging was used, specify this and describe how the channels were weighted. 8 - VISUALISATION 8.1 - PLOT TYPE -8.1.1 visualisation type How did you visualize ERPs? "- line plot (waveforms) +8.1.1 visualisation type How were ERPs visualised? "- line plot (waveforms) - topoplot - other" 8.2 - LINE PLOT -8.2.1 visualisation only procedures line Extra preprocessing: Did you apply any procedures for visualisation purposes only (not used for analysis, e.g., smoothing filter, different baseline)? "- yes +8.2.1 visualisation only procedures line Extra preprocessing: Have any procedures been applied for visualisation purposes only (not used for analysis, e.g., smoothing filter, different baseline)? "- yes - no" -8.2.2 specify visualisation proc line Extra preprocessing: specify details of the procedures you had applied for the purposes of waveforms visualisation. +8.2.2 specify visualisation proc line Extra preprocessing: specify details of the procedures that had been applied for the purposes of waveforms visualisation. 8.2.3 waveform type What do the data represent? "- single waves - difference waves - both single and difference waves @@ -885,25 +670,25 @@ item field question options instructions 8.2.4 waveform type single conditions Which single conditions are shown? 8.2.5 waveform type difference conditions Which difference waves are shown? 8.2.6 waveform type other conditions Which conditions or their combinations do waveforms represent and how the conditions were combined to make waveforms? -8.2.7 waveform channel averaging Did you average channels for presentation or show individual channels? "- individual channels shown +8.2.7 waveform channel averaging Were the channels averaged for presentation or individual channels were shown instead? "- individual channels shown - aggregated channels shown - both individual and aggregated channels shown" -8.2.8 waveform which channels Did you use all channels or a selection of channels for the visualisation? "- all channels +8.2.8 waveform which channels Were all channels or a selection of channels used for the visualisation? "- all channels - selected channels" 8.2.9 waveform selected channels list List of channels selected for this visualisation Provide a semicolon-separated list of all channels (in alphabetical order). Averaging of channels will be described later, if this option was selected. 8.2.10 waveform selected channels rationale What was the rationale for showing these channels? 8.2.11 waveform channel averaging details Describe which channels were averaged together. 8.2.12 waveform channels averaged and individual Describe which channels were averaged together, and which were shown individually. -8.2.13 waveform beginning What is the beginning of the time window selected for this visualisation (relative to trigger)? -8.2.14 waveform end What is the end of the time window selected for this visualisation (relative to trigger)? +8.2.13 waveform beginning Beginning of the time window selected for this visualisation (relative to trigger) +8.2.14 waveform end End of the time window selected for this visualisation (relative to trigger) 8.2.15 whole epoch What was the rationale for selecting this time window? "- the same as epoch defined previously - other" 8.2.16 waveform selected time rationale Rationale for selecting this time window -8.2.17 waveform additional Do you have any additional relevant information about this plot? For example, you may have shown confidence intervals or other kinds of additional information on this plot. +8.2.17 waveform additional Do you have any additional relevant information to add about this plot? For example, confidence intervals or other kinds of additional information may have been shown on this plot. 8.3 - TOPOPLOT -8.3.1 visualisation only procedures topo Extra preprocessing: Did you apply any procedures for visualisation purposes only (not used for analysis, e.g., smoothing filter, different baseline)? "- yes +8.3.1 visualisation only procedures topo Extra preprocessing: Have any procedures been applied for visualisation purposes only (not used for analysis, e.g., smoothing filter, different baseline)? "- yes - no" -8.3.2 specify visualisation proc topo Extra preprocessing: specify details of the procedures you had applied for the purposes of waveforms visualisation. +8.3.2 specify visualisation proc topo Extra preprocessing: specify details of the procedures which had been applied for the purposes of waveforms visualisation. 8.3.3 conditions topoplot What do the data represent? "- single conditions - difference waves - both single and difference wave conditions @@ -920,20 +705,20 @@ item field question options instructions - voltage maps on percent scale - 3D voltage maps - other" -8.3.8 topoplot which channels Did you visualise all channels or a selection? "- all channels +8.3.8 topoplot which channels Were all channels or a selection of channels visualised in this topoplot? "- all channels - selected channels" 8.3.9 topolot selected channels list Which channels were selected for this visualisation? Provide a semicolon-separated list of all channels (in alphabetical order). 8.3.10 topoplot selected channels rationale What was the rationale for showing these channels? -8.3.11 topoplot window beginning What is the beginning of the time window selected for this visualisation (relative to trigger)? You will be asked about subdivision of this time window into smaller windows later. -8.3.12 topoplot window end What is the end of the time window selected for this visualisation (relative to trigger)? +8.3.11 topoplot window beginning Beginning of the time window selected for this visualisation (relative to trigger) You will be asked about subdivision of this time window into smaller windows later. +8.3.12 topoplot window end End of the time window selected for this visualisation (relative to trigger) 8.3.13 topoplot selected time rationale Rationale for selecting this time window -8.3.14 topoplot subdivision Did you subdivide the window to create multiple topoplots? "- yes +8.3.14 topoplot subdivision Was the time window used in this topoplot subdivided to create multiple topoplots? "- yes - no" -8.3.15 topoplot subdivision list List of subdivided time windows in chronological order. Use colon to separate time window beginning and end, and semicolon and a space to separate subwindows, e.g., 300:400; 400:500 +8.3.15 topoplot subdivision list List of subdivided time windows in chronological order. Use colon to separate time window beginning and end, and semicolon and a space to separate subwindows, e.g., 300:400; 400:500 +8.4 - OTHER PLOT +8.4.1 plot other Which other type(s) of plot were shown? 9 - VISUALISATION -9.1 - OTHER PLOT -9.1.1 plot other Which other type(s) of plot did you show? -9.2 - ADDITIONAL COMMENTS -9.2.1 additional comment Do you have any additional information or comments to add? "- yes +9.1 - ADDITIONAL COMMENTS +9.1.1 additional comment Do you have any additional information or comments to add? "- yes - no" -9.2.2 comment contents You can add additional comments here. +9.1.2 comment contents You can add additional comments here.