Hello CONN experts,

For our latest study, we have resting-state images from two groups collected at two timepoints: Session1 and Session2. I ran a seed-to-voxel analysis comparing connectivity between groups (AllSubjects [0]; GroupA[1]; GroupB[-1]) at Session2. I also ran a comparison between time points (delta scores) between groups (AllSubjects [0]; GroupA[1]; GroupB[-1]. Session1 [-1] Session2 [1]). So, this compares the delta connectivity values from Session2 > Sesssion1 between GroupA and GroupB.

I was wondering whether it was possible to compute a true longitudinal model that would be mixed effects instead of simply comparing delta scores (Session2 connectivity - Session1 connectivity). Is there a way to run mixed effects in CONN, or is it limited to delta scores?

Thanks!

-Olivier