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Dear experts,
I calculated vertex-wise standard deviation across multiple thickness (lh.thickness.fwhm10.fsaverage.mgh) and volume files (lh.volume.fwhm10.fsaverage.mgh) of one individual, calculated from scans at different time points. I used the freesurfer library for R to calculate the sd in thickness and volume between scans and saved the sd in each vertex as a new mgh file (one for thickness and one for volume).
I now need to parcellate (calculate the mean value in each parcel) my new mgh files containing the vertex-wise sd using the Desikan-Killiany Atlas and Destrieux Atlas as definitions for the parcels. What is the best way to approach this?
Thank you!
Martin
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You can use mri_segstats. Run it with --help and modify example 6
On 5/8/2020 12:18 PM, Martin Gell wrote:
External Email - Use Caution
Dear experts,
I calculated vertex-wise standard deviation across multiple thickness (lh.thickness.fwhm10.fsaverage.mgh) and volume files (lh.volume.fwhm10.fsaverage.mgh) of one individual, calculated from scans at different time points. I used the freesurfer library for R to calculate the sd in thickness and volume between scans and saved the sd in each vertex as a new mgh file (one for thickness and one for volume).
I now need to parcellate (calculate the mean value in each parcel) my new mgh files containing the vertex-wise sd using the Desikan-Killiany Atlas and Destrieux Atlas as definitions for the parcels. What is the best way to approach this?
Thank you! Martin
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