I have a small group of subjects where each subject has been scanned once a week for five weeks while learning a task. I’d like to look for changes in cortical thickness across the scans. I’ve already looked at grey matter density in FSL using randomise (http://www.fmrib.ox.ac.uk/fsl/randomise/index.html) for clusterwise multiple comparison correction and would like to do something similar for cortical thickness.  It doesn’t look like mri_glmfit-sim allows you to specify exchangeability blocks so that scans are only swapped with scans of the same subject in the simulation. Or can it do this and I’m just not seeing it? Any other recommendation on how to approach this analysis in FS?

Thanks,

-Adam

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Adam Thomas           adamt@nih.gov
Functional MRI Facility, NIMH/NIH/DHHS
10 Center Dr, Room 1D80
Bethesda MD. 20892-1148
Phone: 301-402-6351