This package mainly contains a plotting function ggseg3d and
data.frames of different brain atlases for plotting. Plotting results of
analyses on regions or networks often involves swapping between
statistical tools, like R and Matlab, and software for brain imaging to
correctly visualise analysis results.
This package aims to make it possible to plot results directly through R.
There are currently four atlases available in the package:
dk_3d- Desikan-Killiany atlas (aparc).aseg_3d- Automatic sub-cortical segmentation.
If you want to create your own custom atlas or discover other compatible atlases, please see the companion package ggsegExtra.
The package can be installed using {remotes}. The package includes some large datasets for the brain coordinates. Please be patient during download and install, it will take some time.
install.packages("remotes")
remotes::install_github("LCBC-UiO/ggseg3d", build_vignettes = TRUE)The functions are now installed, and you may load them when you want to use them. All functions are documented in standard R fashion.
The package also has a vignette, to help you get started using it. You can access it here, or via R:
library(ggseg3d)
vignette("ggseg3d")p <- ggseg3d(atlas=dk_3d) %>%
remove_axes() %>%
pan_camera("right lateral")
p <- ggseg3d(atlas=aseg_3d) %>%
add_glassbrain() %>%
remove_axes() %>%
pan_camera("right lateral")
Don’t hesitate to ask for support using github issues, or requesting new atlases. While we would love getting help in creating new atlases, you may also request atlases through the issues, and we will try to get to it.
This tool is partly funded by:
EU Horizon 2020 Grant: Healthy minds 0-100 years: Optimising the use of European brain imaging cohorts (Lifebrain).
Grant agreement number: 732592.
Call: Societal challenges: Health, demographic change and well-being