Bruse,
I apologize, I thought you were answering another question that I had submitted, which I had foremost in my mind. I will look at mri_label2label in more detail now in the proper context.
Thanks, -Jeff
On 7/13/13 11:31 AM, "Bruce Fischl" fischl@nmr.mgh.harvard.edu wrote:
Hi Jeff mri_label2label should do what you want Cheers Bruce
On Jul 12, 2013, at 6:45 PM, Jeff Eriksen eriksenj@ohsu.edu wrote:
I have the Yeo resting-state fMRI atlases which I downloaded from
http://www.freesurfer.net/fswiki/CorticalParcellation_Yeo2011
They consist of 3 versions, fsaverage being of interest here. The fsaverage folder provided includes the typical FS folders corresponding a recon-all for the average brain for this atlas. I wish to use this high resolution atlas to parcellate my individual subjects. I am unclear how to go about this. I have perused wiki pages on
Annotation files FS labels Automatic surface labeling process Surface registration process
but still do not find a clear path to my goal. Specifically I would like to end up with a matching set of surface and annot files, as high of resolution as possible, for each of my subjects. Using some specific numbers, the Yeo atlas has around 300,000 vertices when combining the lh.pial and rh.pial surfaces. The matching annot files I believe are l&rh.Yeo2011_17Networks_N1000.annot, which together should also have 300,000 vertices. I suppose what I need to do is align each of my subjects to this atlas and project the atlas onto each subject to get a new surface and annot file for that subject, which will have some unique number of vertices for each subject.
Please point me to the right set of documentation that will tell me how to do this. Thanks,
-Jeff
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