Hi Paul,

What we typically do is to either (1) Transform the subjects' fMRI
data to MNI152 space and then use the MNI ROIs to perform the
functional connectivity analysis OR (2) Transform the subjects' fMRI
data to fsaverage surface space and then use the surface-based
fsaverage ROIs to perform the functional connectivity analysis. The
second approach is definitely more accurate because the ROIs were
originally generated in fsaverage space and then projected to MNI152
space and because working on the surface respects the cerebral
cortex's 2D topology.

If for some reason, you really want to perform the analysis in the
subjects' native space, I would suggest resampling the surface-based
fsaverage ROIs (instead of the MNI152 ROIs) to your subject's native
space . Assuming you have run your subject's anatomical through
recon-all, I believe (and someone please correct me if I am wrong) you
can use mri_label2vol to do the resampling.

--Thomas

On Sat, Sep 14, 2013 at 4:19 AM, Paul Beach <pabea...@gmail.com> wrote:
> Hello Freesurfer experts,
>
> I am currently trying to take extracted cortical networks from the
> Yeo_JNeurophysiol11_MNI152 package and translate them to individual subjects
> to perform functional connectivity analyses - based on the individual
> networks, themselves. Currently the extracted ROIs are in '.nii.gz' format.
>
> My question is: How do I take the extracted ROIs and map them on to
> individual subjects? My thought was that mri_vol2vol could perhaps
> accomplish this, but I cannot find a help file for this command that would
> guide me in developing the line of code to write.
>
>
> Thanks!
> --
> Paul Beach
> DO/PhD candidate - Year VI
> Michigan State University
> - College of Osteopathic Medicine
> - Neuroscience Program
>    - Bozoki Lab: Neurology/Radiology
>
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