Hi all,

Our group is rather unique in that our subject level data is not normalized to MNI before feeding it into CONN for first level analysis.
As such, the correlation maps are in subject space and not MNI space, so we can't use CONN to do group level.
What we have been doing is using SPM to normalize the corr_* images to MNI space, and then using SPM to do straight-forward T-tests.
My question is does this seem valid to you? Are there caveats we should pay attention to when we mix CONN processing with SPM processing like this?

Thanks!