- Schaefer A, Kong R, Gordon EM, Laumann TO, Zuo XN, Holmes AJ, Eickhoff SB, Yeo BTT. Local-Global parcellation of the human cerebral cortex from intrinsic functional connectivity MRI, Cerebral Cortex, 29:3095-3114, 2018
Resting state fMRI data from 1489 subjects were registered using surface-based alignment. A gradient weighted markov random field approach was employed to identify cortical parcels ranging from 100 to 1000 parcels. More details can be found in Schaefer et al. 2018.
The parcellations are available at multiple resolution (100 parcels to 1000 parcels), and can be found under the
Parcellations folder. To use the parcellations without the trouble of downloading our entire repository, you can just click on this link: download Schaefer2018_Parcellations
Specifically, there are three subfolders corresponding to three different spaces
The parcellations were first computed in Freesurfer
fsaverage6 space and sampled to
fsaverage space. The parcellations were also projected to HCP
fslr32k and FSL
MNI space. Each parcel is matched to a corresponding network in the 7 and 17 network parcellation by Yeo et al. 2011.(The organization of the human cerebral cortex estimated by intrinsic functional connectivity).
Here we provide a visualization of the 400 parcel parcellation in
fslr32k space, parcels were colored to match Yeo 7/17 network parcellation:
The code utilized in this study is under
Code folder. Specifically, the
Code folder includes:
CBIG_gwMRF_build_data_and_perform_clustering.m -- The wrapper function that generates input data format from fMRI data and perform clustering.
lib folder -- This folder contains all other functions that will be called by the wrapper function.
README.md -- You can check this file to find out more about our clustering code.
We provide example code for you run as well as example results for you to compare under
examples folder. Please refer to
examples/README.md for more information.
Download stand-alone repository
Since the whole Github repository is too big, we provide a stand-alone version of only this project and its dependencies. To download this stand-alone repository, visit this link: https://github.com/ThomasYeoLab/Standalone_Schaefer2018_LocalGlobal
Download whole repository
Except for this project, if you want to use the code for other stable projects from out lab as well, you need to download the whole repository.
To download the version of the code that is last tested, you can either
- visit this link: https://github.com/ThomasYeoLab/CBIG/releases/tag/v0.6.5-FixPublicationDetail_Wu2017_Schaefer2018
- run the following command, if you have Git installed
git checkout -b Schaefer2018_LocalGlobal v0.6.5-FixPublicationDetail_Wu2017_Schaefer2018
Release v0.3.0 (21/07/2017): release the parcellations in MNI, fsLR and fsaverage space
Release v0.3.1 (07/09/2017): update utilities code
Release v0.3.2 (14/09/2017): fix a labeling bug in cifti files
Release v0.4.8 (30/01/2018): release clustering code
Release v0.4.12 (09/04/2018):
Move example subjects from
The example subjects are re-processed by a newer version of our preprocessing pipeline (v0.4.9). Hence results in
Update some README.md files.
Release v0.6.3 (17/07/2018):
Release Schaefer2018 300 parcels and 500 parcels parcellation.
Add unit test scripts to
Update README.md, add links for people to directly download the Parcellations and this project's standalone repository:
Release v0.6.5 (17/08/2018):
Update publication details in README files.
Fix a bug related to creating