So you want to map the labels in fsaverage into MNI152 volumes pace,
right? After mris_divide_parcellation, you should have a parcellation in
fsaverage space. Use mri_surf2surf (or mris_apply_reg) to map that into
the MNI152 that you ran recon-all on. Look in the recon-all.log file for
the command that created the aparc+aseg.mgz file (mri_aparc2aseg).
Change that command line to use your new annotation, and specify a
different output. If you want to view it in freeview, then you will also
need to create a new color table like $FREESURFER/FreeSurferColorLUT.txt
but it will need your new labels in it. You can get the indicies by
loading the volume into freeview and clicking on the labels.
On 11/3/2021 4:41 AM, Alvarado,Luis R wrote:
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Hi all,
I am having a bit of a hard time figuring out the best option to
convert surface labels to mni volume masks.
For my ROI FS analysis, I divided the fsaverage S1 and M1 labels into
5 sub-labels using *mris_divide_parcellation*. I then used
*mri_label2label* to map those labels to each of my subjects to study
differences in thickness among 2 groups.
I am now trying to map those same labels from fsaverage to mni space
in order to use them as ROI for resting-state connectivity analysis in
the conn toolbox pipeline. From reading The Mail Archive I have come
across multiple pieces of advice on how one might go about doing this.
These range from a) using *mri_label2vol* and *mri_vol2vol*; b)
creating a new annotation file for fsaverage from the labels and using
*mri_aparc2aseg* and then *mri_vol2vol*; to c) running mni152 through
*recon-all*.
As you can probably tell by now, I am a bit confused about the most
efficient and accurate way to accomplish this.
any advice would be greatly appreciated.
Luis R. Alvarado
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