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-cortex vertices changes across subjects.
Is it possible to get from fsaverage5 any overlay mask that specifies if it is cortical or not, so when I load it into matlab i can get a logical vector of 20484 elements?
Thanks Dorothy
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 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-cortex vertices changes across subjects.
Is it possible to get from fsaverage5 any overlay mask that specifies if it is cortical or not, so when I load it into matlab i can get a logical vector of 20484 elements?
Thanks Dorothy
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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 surface and selecting the vertex with zero-values and adding one to corresponding element in the 20484 vector . In percentage, 62 vertices are non-zero in half or more of the data size, and 106 in 40% or more. In average, each subject has 120 zero-valued vertices.
If I don't want to account for non-cortical activity in my analysis, do you consider a good approach to discard this 106 vertices that at least in 40% of the subjects are non cortical?
Thanks, Dorothy
On Wed, Sep 28, 2016 at 12:37 PM, Douglas Greve greve@nmr.mgh.harvard.edu wrote:
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 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-cortex vertices changes across subjects.
Is it possible to get from fsaverage5 any overlay mask that specifies if it is cortical or not, so when I load it into matlab i can get a logical vector of 20484 elements?
Thanks Dorothy
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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 = [subject1fmri.vol(:,:,:,1); subject2fmri.vol(:,:,:,1); subject3fmri.vol(:,:,:,1); ...];
b = a>0;
mask = mean(b)==nsubjects;
On 09/28/2016 05:58 PM, Dorothy Sincasto wrote:
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 surface and selecting the vertex with zero-values and adding one to corresponding element in the 20484 vector . In percentage, 62 vertices are non-zero in half or more of the data size, and 106 in 40% or more. In average, each subject has 120 zero-valued vertices.
If I don't want to account for non-cortical activity in my analysis, do you consider a good approach to discard this 106 vertices that at least in 40% of the subjects are non cortical?
Thanks, Dorothy
On Wed, Sep 28, 2016 at 12:37 PM, Douglas Greve <greve@nmr.mgh.harvard.edu mailto:greve@nmr.mgh.harvard.edu> wrote:
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 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-cortex vertices changes across subjects. Is it possible to get from fsaverage5 any overlay mask that specifies if it is cortical or not, so when I load it into matlab i can get a logical vector of 20484 elements? Thanks Dorothy _______________________________________________ Freesurfer mailing list Freesurfer@nmr.mgh.harvard.edu <mailto:Freesurfer@nmr.mgh.harvard.edu> https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer <https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer>_______________________________________________ Freesurfer mailing list Freesurfer@nmr.mgh.harvard.edu <mailto:Freesurfer@nmr.mgh.harvard.edu> https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer <https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer> The information in this e-mail is intended only for the person to whom it is addressed. If you believe this e-mail was sent to you in error and the e-mail contains patient information, please contact the Partners Compliance HelpLine at http://www.partners.org/complianceline <http://www.partners.org/complianceline> . If the e-mail was sent to you in error but does not contain patient information, please contact the sender and properly dispose of the e-mail.
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