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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