Dear FSL people,
another issue I am baffled over is the following:
I would like to compare resting data of controls and patients. For this reason I do the following: I order a GICA temp concatenation with both patients and controls, then I build the design matrix to model my two groups and I do dual regression with permutation testing. The resulting p-corr maps for the control>patients, patients>controls, mean controls, mean patients are derived. I use a template to select my component of interest (e.g. DMN) and then I check the resulting maps: I realize that my controls and patients do not differ and this was against our hypothesis. Then, I went to see what is the case in the patients group only: I order GICA temp concatenation and I do dual regression on this output. The mean effect of patients this time differs when I compare it to the mean effect from the GICA with controls and patients together (more specifically, in the GICA with patients and controls I found a preserved DMN; but in the GICA with patients only no DMN is detected).
What does this mean? And how should I best proceed with the comparison of my two groups?
Thanks in advance for your help!
Best
Athena
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