Hello,
I'm trying to set up a model to determine whether resting-state functional connectivity is related to a behavioral measure (continuous, measure of loss aversion), is different between groups (patient and control), and the interaction effect of the behavioral measure and group. I also want to covary for age, sex, and smoking status, and I suspect there is an interaction between both age and sex with the behavioral measure. I'm confused as to whether I should do this all with one model or use separate models, and I'm new to FSL and not sure how to set up the EVs and contrasts.
Thank you so much!
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