‘mri_aparc2aseg’ adjusts Yeo’s 17 Network segmentation value to 1000+ for lh, and 2000+ for rh. I don’t think you can use Freeview with ‘1000subjects_reference/Yeo_JNeurophysiol11_SplitLabels/MNI152/17Networks_ColorLUT_freeview.txt’,
which labels from 1-114.
You may find it helpful
https://github.com/ThomasYeoLab/CBIG/tree/master/stable_projects/brain_parcellation/Yeo2011_fcMRI_clustering/1000subjects_reference/Yeo_JNeurophysiol11_SplitLabels/project_to_individual
Best,
Yujing
From: freesurfer-bounces@nmr.mgh.harvard.edu <freesurfer-bounces@nmr.mgh.harvard.edu>
On Behalf Of ???(?????)
Sent: Friday, November 24, 2023 1:30 AM
To: freesurfer@nmr.mgh.harvard.edu
Subject: [Freesurfer] Yeo's 17 Network atlas: label mismatch and volume stats extraction
External Email - Use Caution
Hello FreeSurfer experts,
I'm attempting to obtain volume values for the ROIs, each corresponding to a specific network based on Yeo's 17 Network atlas.
Here are the steps I've done so far:
1. Transform from fsaverage to subject's surface (LH, RH)
mri_surf2surf --srcsubject fsaverage5
--trgsubject sdas/sub052
--hemi lh
--sval-annot 1000subjects_reference/Yeo_JNeurophysiol11_SplitLabels/fsaverage5/label/lh.Yeo2011_17Networks_N1000.annot
--tval $SUBJECTS_DIR/sub052/label/lh.Yeo_17Network_native.annot
2. Transform from subject's surface into my subject's volume
mri_aparc2aseg
--s sub052
--o $SUBJECTS_DIR/sub052/mri/Yeo17.mgz
--annot Yeo_17Network_native --annot-table Downloads/1000subjects_reference/Yeo_JNeurophysiol11_SplitLabels/MNI152/17Networks_ColorLUT_freeview.txt
Upon inspecting the output file (Yeo17.mgz) overlaid with 17Networks_ColorLUT_freeview.txt before extracting the volume values, I observed that the actual
ROI doesn't match the label.
ex) The label indicates "DefaultB_IPL" when I point the caudate nucleus
Is there something I might be missing?
And would you let me know how to extract the volumes of the ROIs for each of the 17 Networks?
So I would be getting volumes for 114 ROIs in total.
I would greatly appreciate your help.
Jihye
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