This package contains extra atlases for the use in the ggseg plotting package in R.
There are currently three atlases available in the package:
2d polygon atlases
midsagittal- mid-sagittal slice showing the cerebellum, 3rd and 4th ventricles, corpus callosum etc.
glasser- HCP cortical segmentation (Glasser et al. 2015)
jhu- Hua et al. 2008, JHU white-matter tractography atlas
yeo7- Yeo et al. 7 resting state networks
yeo17- Yeo et al. 17 resting state networks
tracula- Yendiki et al. probabilistic white matter tractopraphy
3d mesh atlases
glasser_3d- HCP cortical segmentation (Glasser et al. 2015)
desterieux_3d- Desterieux et al. cortical segmentation
yeo7_3d- Yeo et al. 7 resting state networks
yeo17_3d- Yeo et al. 17 resting state networks
schaefer7- Schaefer et al. 7 resting state networks
schaefer17- Schaefer et al. 17 resting state networks
tracula_3d- Yendiki et al. probabilistic white matter tractopraphy
jhu_3d- Hua et al. 2008, JHU white-matter tractography atlas
icbm_3d- JHU labels from Mori et al. (2005)
We are working on creating a detailed description in the wiki on how to
create and contribute atlases to the package. The
already allows you to provide it with a data.frame of a custom atlas if
you have it, but it must correspond to certain specifications to work.
Please see the wiki for information on adding atlases, or inspect the included datasets for requirements. If anything is unclear in the wiki, give us a shout out in the issues!
You will need to use the
ggseg package to use these atlases, or
wrangle them your self. You can access it
here, or via R:
Make sure to always load the ggsegExtra package after the ggseg package.
Report bugs or requests
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