Thanks Donald!
Really helpful, especially regarding the difference to SPM's output.
I will take the opportunity to ask a couple of other questions on whether or not what I plan to do makes sense.
I would be very grateful if someone could comment on this!
I have results from an ICA analysis of resting-state data containing a control-group and a test-group.
(I have used GIFT, with GICA to back-reconstruct the individuals' components)
I now applied a FullFactorial analysis on the components, with a factor stating if a subject is from control or test group
(the model also included some covariates for age etc).
Now to my question:
Would it be ok to first (for each component) create a mask based on a corrected cluster size threshold on the main-effect, and then use this as an explicit mask in "control VS test" contrasts for the same component?
If so, what would be the best way to do this? Do I have to rerun an analysis with the mask included as 'explicit mask'?
Cheers,
Patrik
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