I would weight by the number of vertices in each ROI
On 11/8/2022 12:20 PM, James Brown wrote:
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Dear Freesurfer experts, I would like to know if this procedure is correct. I have cortical thickness data from aparc+aseg for every ROI in DTK atlas (i.e. output of recon-all). I need average cortical thickness in frontal, parietal, temporal, cingulate and occipital lobes. Is it correct to average thickness measurement of every sub lobe roi (e.g. average thickness in frontal lobe = average of:
- Superior Frontal
- Rostral and Caudal Middle Frontal
- Pars Opercularis, Pars Triangularis, and Pars Orbitalis
- Lateral and Medial Orbitofrontal
- Precentral
- Paracentral
- Frontal Pole
and so on for other lobes...
Do we need to correct for the number of vertices in every region when we measure the lobar average thickness?
Alternatively, do I need to run these commands to generate lobes then measure thickness in every lobe? # mri_annotation2label --subject subject --hemi lh --lobesStrict lobes # mri_annotation2label --subject subject --hemi rh --lobesStrict lobes # mri_aparc2aseg --s subject --labelwm --hypo-as-wm --rip-unknown \ # --volmask --o wmparc.lobes.mgz --ctxseg aparc+aseg.mgz \ # --annot lobes --base-offset 200 [--base-offset must be last arg]
Thank you James
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