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[user@localhost temp]$ randomise -i L_Hipp_vertexMNI_2sample.nii.gz -m L_Hipp_vertexMNI_2sample_mask.nii.gz -o L_Hipp_vertexMNI_2sample_rand -d des_2sample.mat -t des_2sample.con -f des_2sample.fts --fonly -D (threshold multiple comparison correction options)
more options:Multiple comparison options: (see randomise User Guide):
Possible options include -x, *–T2, -F <optional threshold>, -S <threshold>
Just as in SPM Results we put in statistical tests and thresholds, so we do the same with randomise (see here for initial details). A starting point might be
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