The PET signal can change with a lot of anatomical changes in the brain including thickness, surface area, and gyrification. There is no known regressor that will account for this. Right right way to account for it is with partial volume correction (PVC). It is best to do PVC simultaneously with the recon, but software is not available to perform this. You can do it on a post-hoc basis in PETsurfer using the PVC options in mri_gtmpvc. See the wiki.
On 08/10/2017 04:11 AM, John Anderson wrote:
Hi Dr Greve,
I have PET data for two groups and I used PET surfer in FSV 6.0 to run the analyses. The pipeline is straightforward and the analysis ran smoothly without any issues.
Is it correct procedure to adjust PET signal to differences in gray matter volume or cortical thinness between two groups?
In other words, is it correct if gray matter volume or cortical thickness for subjects be included as EVs in GLM or a nausiance factor in QDEC?
Specifically, is the PET signal changeable depending on differences in cortical thickness. or differences in gray matter volume?
Thank you for any clarification
Thank you ! Jon
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