Dear Conn users,

I have a few questions of clarification regarding ICA analyses. I would like to specify that I have explored Conn's forum on many occasions, but I have not found a definite answer to my interrogations.
Here's the scenario: I'm looking at resting-state data from two populations (patients and controls), and I am investigating for different functional network connectivity between these two groups.
I ran an ICA network analysis and selected 6 components of interest. But now the challenge of group comparison for these components has appeared.
For what I read on the forum, if I compare groups directly for a component at the second level analysis, I understood that I get the difference between my groups of the connectivity between the Network/Component and every voxel in the brain. Thus, I should only obtain voxels outside of my Component network, right? Which is the same results that I will obtain if I reinject my ICA component in the ROI (as non-thresholded image, by default) a the setup stage. Is that correct? And if yes ... can you help me interpreting this result ?
Thus, if I need to compare the difference between groups inside the component of interest, what analysis should I run?
Also, if I want to directly compare components to other components, I should use ROI-to-ROI analysis. But, is Conn toolbox integrates a temporal lag in its analysis (like described in Arbabshirani, HBP, 2013)? And if not, is there a way of doing it?
Last question: Is it correct to the use non-binary masks created by Conn by using "ICA parcellation ROI file" for the type of analysis we are interested here?
I hope I haven't lost you on the way with all these questions.
I hope that a conn-artist will help me!!!
Thank you in advance,

Johanna