I'm interested in creating a group map where each vertex/voxel represents the correlation (as a correlation coefficient) between a task-related BOLD contrast values (ces.nii.gz) and a single covariate. This is analogous to a cortical thickness GLM with one group and one covariate, but I'd want an r-map instead of a log10p-map.
How exactly might I do this? I’m trying to accomplish this using mri_glmfit, but I’m having generating output that is interpretable in terms of a correlation coefficient and in particular, the direction of the effect.
Thanks, Keji
--- Morenikeji Adebayo Clinical Research Coordinator Department of Psychiatric Neuroscience