Dear Alfonso, 

I conducted an FC-MVPA, trying to identify predictors of treatment response. I would like to implement cross-validation (using different clusters) but I'm a bit lost. 
1-Using spm_crossvalidation, I get results for each component (10) and clusters: is there a recommended way to simplify or aggregate the results across components?
2- What is the next step? I think I should run a logistic regression (I am trying to classify response vs nonresponse), look for corrected permutation p values, etc. but I'm wondering if you have any guidelines on how to do this.
3- I read I should conduct it both on the MVPA results as well as in the SBC (post-hoc) results. Should I conduct two different cross-validation approaches? (one from MVPA and one for SBC results?)

Thank you!