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 pabeach1@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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