Hi, I was reading the post and until now was not confused. But now I am confused about the ttest output with the covariate.
Gang, what do you mean by the 'effect of covariate'?
As far as I understood, the sub-brick with the covariate shows results with a covaried variable controlled for. So, for example, if I want to compare two groups with and without depression, the first two sub-bricks would tell me the difference between the two groups and the other two sub-bricks would shown me the results if I take the impact of depression out... Is that correct? So I would expect to see difference in activity between the two groups in the first case, but not when there is a covariate in the model.
Or since Jessica is talking about connectivity, the output is interpreted differently?

Thank you so much for your help.
Regards,
Kat