Dear psychology student

Yes, that is a perfectly correct model and contrast to test the interaction in your mixed design model, evaluating whether the effect of intervention (i.e. the difference in connectivity between pre- and post- intervention scans) depends on the type of intervention (i.e. is itself different when comparing subjects that did a PA-intervention vs. subjects that did a control-intervention).

(as a side note: it is not necessary to explicitly enter a [1 -1; -1 1] contrast -evaluting the two directions of the same effect- in these cases, you could as well just enter the simpler [-1 1] contrasts instead and, since CONN default behavior will be to use two-tailed statistics, the results would be identical)

Best

Alfonso

Originally posted by psyolstudent:

Dear CONN users,

I want to analyze functional connectivity in the DMN with rs-fMRI data of patients and controls. My main hypothesis is focussing on the patient group. I did a pre post measurement. 

My patient group was split into 2 subgroups, one that did a control intervention and the other did a physical activity intervention. Now I want to analyze if the intervention had an effect in the patient group that did the PA intervention compared to the control intervention patient group. From my understanding this is a Mixed-Design ANOVA, because we compare different groups (control intv, intv) and different timepoints (pre, post). 

Is this possible to analyze in CONN?

I added a screenshot of my analysis!

Sincerely

A psychology student :)