diff --git a/.circleci/config.yml b/.circleci/config.yml
index b8abef3d6..89da9592c 100644
--- a/.circleci/config.yml
+++ b/.circleci/config.yml
@@ -36,7 +36,7 @@ commands:
             deactivate
             python -m venv /home/circleci/simple
             source /home/circleci/simple/bin/activate
-            pip install git+https://github.com/FCP-INDI/cpac.git@81c33b52d72478bef54ccfdce05577d52ebf714c semver
+            pip install cpac semver
             deactivate
   
   run-cpac-commands:
diff --git a/docs/_sources/user/cpac.rst b/docs/_sources/user/cpac.rst
index 922056c05..9c8761a13 100644
--- a/docs/_sources/user/cpac.rst
+++ b/docs/_sources/user/cpac.rst
@@ -3,12 +3,26 @@ cpac (Python package)
 
 `cpac <https://pypi.org/project/cpac/>`_ is available so that you can easily run analyses without needing interact with the container platform that allows you to run C-PAC without installing all of the underlying software.
 
-cpac requires Python 3.6 or greater. To get cpac, simply
+``cpac`` requires Python 3.8 or greater. To get cpac, simply
 
 .. code-block:: console
 
     pip install cpac
 
+Run extra packages with cpac
+````````````````````````````
+Beginning with v1.8.5, ``cpac`` can run |ba_timeseries_gradients|_ and/or |tsconcat|_ in addition to C-PAC. If either package is already installed, ``cpac`` will use the installed version. You can install them with the relevant extras, like one of the following lines:
+
+.. code-block:: console
+
+    pip install cpac[ba_timeseries_gradients]
+    pip install cpac[tsconcat]
+    pip install cpac[ba_timeseries_gradients,tsconcat]
+
+.. note::
+
+    ``ba_timeseries_gradients`` and ``tsconcat`` may have more specific dependency requirements than C-PAC. If you run into unclear installation issues when installing these extras, please see the documentation for those packages.
+
 Download / Upgrade C-PAC with cpac
 ``````````````````````````````````
 
@@ -117,4 +131,13 @@ Note that any of the optional arguments above will over-ride any pipeline settin
 * The ``participant_label`` and ``participant_ndx`` arguments allow the user to specify which of the many datasets should be processed, which is useful when parallelizing the run of multiple participants.
 
 * If you want to pass runtime options to your container plaform (Docker or Singularity), you can pass them with ``-o`` or ``--container_options``.
+
 .. TODO: Update cpac to handle `-`s and `_`s like C-PAC
+
+.. |ba_timeseries_gradients| replace:: ``ba_timeseries_gradients``
+
+.. _ba_timeseries_gradients: https://cmi-dair.github.io/ba-timeseries-gradients/ba_timeseries_gradients.html
+
+.. |tsconcat| replace:: ``tsconcat``
+
+.. _tsconcat: https://cmi-dair.github.io/tsconcat/tsconcat.html