[Freesurfer] Importance of Segmentation/Parcellation edits with respect to cortical thickness

Hi all,

We are using the parcellation of Desikan-Killiany

https://surfer.nmr.mgh.harvard.edu/fswiki/CorticalParcellation

and creating labels for each structure in each hemisphere with:

mri_annotation2label --subject ${SUBJ} --hemi ${HEMI} --outdir ${SUBJ}/${SUBJ}_annotate

and making matlab text readable (via matlab load command) thickness files with:

mris_convert -c ${HEMI}.thickkness ${HEMI}.white ${HEMI}.thickness.asc

Then we are reading in the ascii thickness files and the labels and creating histograms (unit area) for each structure for each participant, essentially following:

https://surfer.nmr.mgh.harvard.edu/fswiki/UserContributions/FAQ#Q.HowcanIma keahistogramofcorticalthickness.3F

We've dropped the zeros but also dropping values of thickness identically = 5mm.

The question is: How important are parcellation edits, that is how accurate are the generated segmentation labels, and should we be dedicating effort to ensuring they're accurate and possibly editing them if not (if so, what should be used as a guide/template?)

jon