Dear Stephen,
Thanks again.
"That's pretty much equivalent to just putting the relevant single seed map into the dual-regression instead of all group maps. It's valid - just asking a different question"
>> Yes, I really appreciate this comments. I need a confirmation about my idea about this. Because after I planned to do putting RSN ICA time-series into Feat, I kept asking myself about what's the difference then between put one single map into dual regression and running Feat with IC time courses (might be I can add some more maps of CFS or WhiteMatter to control non-related brain signals).
Based on your comments ("you can extract regional summary measures from a given dual-reg spatial map output - but this *only* tells you about "connectivity to" this RSN - not all others - so it is not a general measure of connectivity from a given region to the rest of the brain in the context of the full set of resting-state networks"),
if I have an interest to see only how strong the amygdala connection is "within" the DMN, then extract amygdala signal from the given individual DMN map and consider it as a connectivity strength value of amygdala "within" the DMN. Is my understanding right?
I'm sorry that I keep asking, but I would appreciate any comments.
Tae-Ho
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