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Dear experts, I have three groups: - pre treatment (baseline) - post treatment (follow-up after 6 month of the baseline visit) - healthy controls. The three groups have PET data. I ran paired t test using randomise between pre and post treatment. The analysis failed to show significant change in the signal between baseline and follow-up visits. As an alternative approach I tried: - Voxel-wise between pre treatment vs healthy controls. This analysis found cluster A of significant difference - Voxel-wise between post treatment vs healthy controls. This analysis found cluster B of significant difference I subtracted the two clusters A and B using fslmaths then I used the resultant mask (the difference between the clusters A and B) to measure the required signal. Statistically, is this analysis is circular and can;t be applied? Thanks for any suggestion or highlights! John ######################################################################## To unsubscribe from the FSL list, click the following link: https://www.jiscmail.ac.uk/cgi-bin/webadmin?SUBED1=FSL&A=1