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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