There is vertex-for-vertex correspondences, but that does not mean that
each subject aligns perfectly. There maybe some subjects where a vertex
is in the medial wall but not for another subject. They are close, but
not in perfect alignment. What I would do is something like this:
a = [subject1
Hi Douglas,
Thanks for your reply.
I thought when individual space data is projected onto fsaverage5 space it
get wrapped in a common space, so one vertex would correspond to the same
area across subjects, like in MNI.
I tried to create a group subcortical mask by loading each subject fmri
surfa
It is changing with each subject because each subject's brain is
different, and you can't get a subject-specific mask from fsaverage5.
Can you load all your data into matlab and then compute a mask based on
non-zero voxels?
On 9/28/16 1:57 PM, Dorothy Sincasto wrote:
Hi freesurfers,
I am do
Hi freesurfers,
I am doing a connectivity analysis on cortical areas. I load the 2d fmri
surface file in fsaverage5 space into matlab and I get 20484 vertices for
both hemispheres. Some of which are zero because I previously specified to
get only the cortex vertices. However, the number of non-cor
