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Dear spm experts, I'd like to perform a conceptually very simple analysis in spm, but I'm not sure how to do that. I have reduced 128 channel EEG data to just one 2D image per subject, where each voxel/electrode value indicates some measure (long story) of activity. I also have a measure of memory performance for each subject, and now I want to calculate the correlation between memory and brain activity at each voxel. So the goal is just a scalp plot of Pearson correlation values (and which ones are significant using random field theory of course). How can I do this? Intuitively, I'd perform a one-sample t test with memory performance as a covariate, and then just test the relation between the covariate and brain activity. But is this equivalent to the Pearson correlation? Or are there other options? Best, Roy -- Roy Cox, M.Sc. | Brain & Cognition Group | Department of Psychology | University of Amsterdam | Weesperplein 4 | 1018 XA Amsterdam | the Netherlands | room 3.21 | phone: +31 20 525 6847 | email: [log in to unmask]