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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.tada...@gmail.com>
wrote:

>         External Email - Use Caution
>
> 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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