Hi,
I've seen a few post regarding seed-based resting-state analyses and I was just looking for a bit more detail.
I've already extracted the timeseries for various seeds of interest, plus nuisance variables (CSF, white matter, global mean signal). I want to do two things: (1) correlate the timeseries between two seeds, after regressing out the nuisance variables plus motion parameters; and (2) create whole-brain correlation maps for one seed, again regressing out nuisance variables.
I am assuming fsl_sbca would work for this, but I'm still unsure about the specific options I'd use.
Thanks in advance for the assistance.
Best,
Eric
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