Hi AFNI gurus:
I’m new to surface-based analyzes and reading up on both SUMA and FS-FAST in freesurfer, trying to get the lay of the land. My question is about collapsing the surface based analyzes with voxel-based analyses in sub cortex:
In FS-FAST, the analysis is basically ran three times: once for each surface hemisphere; and once in the volume-space for sub cortex (surface masked out). The resulting cluster tests (independent for the 3 spaces) are bonferonni corrected to merge the data across a single family-wise error.
In AFNI, what would the recommend pipeline be for merging SUMA-surface analyzes with subcortical voxel-wise data? Would you run AFNI_PROC once with surface flags on? and once without (with surface masked out)?
Do you need to correct p-values for surface and sub cortex the way FS-FAST does?
Thanks so much!