Hello AFNI users,
I would like to compare/characterize connectivity maps (computed with simple seed-based correlation analyses) from 3 different ROIs. These connectivity maps have the particularity of being very extensive (almost all of the GM), which makes the comparison difficult.
I am a bit lost on how analyze these data?
In my mind, I would like to remove the 'noise' in these connectivity maps to extract the specificity of each of these maps. For example, by using the 'mean connectivity' of these 3 ROIs merge together as covariates, or by including it in a GLM? But I do not know which function or method would be the most appropriate ...
Thank you for any help!
C.
