Hi CONN users,

I’m bringing my question up again, this time with a hopefully clearer description:

I would like to compute a mean within-network resting-state functional connectivity value for each individual network (default mode network, salience network, fronto-parietal network) for each subject.

For these networks, I will use three predefined network masks—one for each network. My goal is to import these three masks into CONN and perform an analysis for each network to compute the mean within-network resting-state functional connectivity value.

However, I’m unsure about the calculation part in CONN. It seems that seed-based analysis isn’t the right approach, as it would calculate resting-state functional connectivity between my seed (which would be my respective network mask) and every other voxel in the brain. I would, however, like to restrict my analysis to within the respective network.

A ROI-to-ROI analysis also doesn’t seem appropriate, as I would need to select at least two ROIs, but I only have one ROI per network (the respective network mask).

Does anyone have any suggestions on how to calculate the analysis I’m looking for in CONN, to obtain resting-state functional connectivity scores within each network using my predefined masks?

Many thanks and best,

Max