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Hi Yeo, 

Amazing. That's exactly what I was looking for. 

Thanks
Ehsan.



On Sun, Jul 22, 2018 at 9:05 PM, Thomas Yeo <ythomas@csail.mit.edu> wrote:

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Hi Ehsan,

Not sure if any is exactly what you need:

1) We have divided the 7 and 17 networks into 51/114 ROIs (https://github.com/ThomasYeoLab/CBIG/tree/master/stable_projects/brain_parcellation/Yeo2011_fcMRI_clustering). Note that these are group-level parcellations in fsaverage space, so you have to use mri_surf2surf to project to individual subjects' surface. 

2) We have also released code for 17-network parcellation of individual subjects' resting-fMRI data (https://github.com/ThomasYeoLab/CBIG/tree/master/stable_projects/brain_parcellation/Kong2019_MSHBM). 

3) Finally, we have released a 400-region parcellation, as well as other resolutions (100 to 1000 parcels), which map to the original 7 and 17 networks (https://github.com/ThomasYeoLab/CBIG/tree/master/stable_projects/brain_parcellation/Schaefer2018_LocalGlobal)

Regards,
Thomas

On Thu, Jul 19, 2018 at 12:51 AM Ehsan Tadayon <sunny.tadayon@gmail.com> wrote:

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Hi, 

Is there an easy way to sub-parcellate each network in Yeo-2011 (for instance network 7) into several clusters (ROIs) for an individual subject? 

thanks
Ehsan.

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