Hi FSL users,
I'm a bit confused as to how to go about implementing a 2x2 repeated measures design in randomise.
I have resting state data from 24 subjects under 4 conditions - 2 factors, each with 2 levels - each of which was acquired in a separate run. I have conducted concat ICA on this data and now want to compare ICs across the different scanning conditions using dual regression. I understand that implementing repeated measures designs in randomise can be tricky; is there a way to extend the 1 factor/4 levels design described at http://www.fmrib.ox.ac.uk/fsl/randomise/index.html#Ex:RepeatMeas to examine main effects of factor 1 and factor 2 and their interaction?
Thanks for your help,
Ciara
|