Pass the mask you want to mri_glmfit with either --label or --mask (depending on your format). You can convert the aparc to labels using mri_annotation2label , then pick the label you want. In this case, you cannot use --cache as that has been computed using whole hemi. You can generate your own MC simulation, but the better way to do this is with permutation. see https://surfer.nmr.mgh.harvard.edu/fswiki/FsTutorial/MultipleComparisonsV6.0...
On 11/20/19 4:47 PM, Gwang-Won Kim wrote:
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Hi there, I would like to analyze clusterwise correction for multiple comparisons using masks (exsample; superior frontal cortex and middle frontal cortex). I know that "2spaces" means adjust p-values for two hemispheres as follow; mri_glmfit-sim --glmdir lh.gender_age.glmdir --cache 2 abs --2spaces. If I use the masks such as the superior frontal cortex and middle frontal cortex, how do I do? Thanks, Gwang-Won
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