Thanks Alfonso! It helps so much.

I have another important question about MVPA

I'm using Conn MVPA method to extract 10 between-groups ([1 -1]) components (I have 52 subjects), which clusters must be used as a seed in a second-level analysis. I have some questions about it:

As I read in this forum, the proper way to do it is selecting all components (eye(10)) on voxel-to-voxel between-measures second-level analysis step (and [1 -1] between-group selection) , and use each resulting significant cluster as a seed. Is this correct?. This second level Seed-to-voxel analysis showed few low-signification results.

In contrast, using each significant cluster of each component independently, offered high-significant and meaningful results, specially clusters from the two first components. As you explained in this forum, individual MVPA components do not have simple interpretations, but our results suggest that first and second component clusters contain areas with divergent iFC between patients and controls (and high correlation with structural analysis differences). How can I explain this situation in order to statistically validate our results with this last method?

Thanks again

Roger