Exactly what you have described won't work very well because it would be
in the volume. I would divide up the parcellations in fsaverage space
like you've done, then map the parcellation to each subject using
mri_surf2surf (--sval-annot, see example 6)
doug
On 04/08/2014 04:54 PM, Corinna Bauer wrote:
> Hello all,
>
> I am planning to use mris_divide_parcellation to split the Desikan
> atlas into smaller ROIs, but will need the new ROIs to be consistent
> between subjects.
>
> Can I achieve this if I register each subject to fsaverage space and
> then apply the inverse transform to the divided parcellations (which
> are currently done on the fsaverage brain)?
>
> If so, for extracting each label, what would be used for the label
> number?
> (i.e. mri_extract_label ${subj_dir}/mri/aparc+aseg.mgz *2035*
> ${subj_dir}/hardi_labels/ctx-rh-insula.nii)
>
>
> Thanks
>
> Corinna
>
>
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