Do you have a group of subjects that you want to use as an average? If
so, you can just map all their thickness maps to your patient subject with
mris_preproc --target patientsubjectname [then usual arguments]
Compute the mean with
mri_concat outputofmris_preproc.mgz --mean --o groupmean.mgz
You can then compare groupmean.mgz to your patient on a vertex-by-vertex
baiss
On 2/3/2020 12:16 PM, Vyacheslav Yarkin wrote:
External Email - Use Caution
Hello Freesurfer Team,
Would you be so kind to provide freesurfer steps to implement warping
fsaverage mean thickness data on individual subject inflated brains ?
I am using expert opts to disable cortical thickness restriction, and
set mris_thickness -max 20 as I want to find fcd to cortical surfaces.
The reason i need normalization is that there is zones like sulci
orbitales have bigger thickness accross subjects group ( control ) and
have red LUTs on inflated thickness map. So i would like to normalize
thickness over control group, to use it on patients to exclude
"normal" thickness excedings to include only increased FCD zones. The
main issue I faced is how to warp fsaverage mean thickness data on
individual subject's inflated brain as they have vertices number
missmatch.
Steps I tried:
1) make_average_subject
2) mri_concat --mean to create mean thicknesses over group
Thank you
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