Hi,

I measured fMRI images of patients in pre-, post-medication conditions and matched controls. I am interested in the differential functional connectivity (FC) between pre- and post-medication condition of patients as compare to controls. Classically, I could simply apply differential FC analyses as follows: pre-medication - controls [1 -1] and post-medication - controls [1 -1].

My questions now are:
1. Whether it is possible to use one analysis to test all?

2. Is it possible to achieve the 'one to test all' analysis by introducing conditions of pre-medication-controls [1 1 1 0 0 0 -1 -1 -1] and post-medication-controls [0 0 0 1 1 1 -1 -1 -1] at the setup covariate. Then I simply employ (pre-medication-controls) - (post-medication-controls) [1 -1] at the second level subject effects?

Thank you very much in advance!

Kind regards,

Yong