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I would find using something like ciftify (https://github.com/edickie/ciftify)
potentially more straightforward (and then you can just use wb_command
-cifti-parcellate on
${StudyFolder}/${Subject}/MNINonLinear/fsaverage_LR32k/${Subject}.thickness.32k_fs_LR.dscalar.nii).
It is possible to go the other direction too (e.g. using this link:
https://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=&cad=rja&uact=8&ved=2ahUKEwjC2IL-9szqAhWPW80KHb3gAtQQFjACegQIBhAB&url=https%3A%2F%2Fwiki.humanconnectome.org%2Fdownload%2Fattachments%2F63078513%2FResampling-FreeSurfer-HCP_5_8.pdf&usg=AOvVaw0PXEiAKfGjdiN2DJcF7nuI
and then perhaps someone on the list can explain how to go from GIFTI on
fsaverage to .annot on the native meshes and extract the stats.
Matt.
On 7/14/20, 8:54 AM, "freesurfer-boun...@nmr.mgh.harvard.edu on behalf of
Alina Rojas" <freesurfer-boun...@nmr.mgh.harvard.edu on behalf of
alinacol...@gmail.com> wrote:
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Hello Freesurfer support list,
I’m attempting to map the HCP-MMP1-Atlas to the individual brains of my
subjects to get the values of the parcellation, like aparc.stats but aparc
being HCP-MMP1. The aim ist to compare the cortical thickness of the
Parcellation given by the HCP-MMP1-Atlas between subjects. I searched the
archive and didn’t find the solution. It would be so great if you could help me!
Thank you and regards,
Alina Rojas
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