Dear FreeSurfer experts,
For my group-level analyses, I created Cohen's D effect size maps. Now I looking the different methods to correct for multiple comparisons (FDR and MC-simulations), it seems to me they are based on p-values, not on effect sizes. I tried applying FDR-correction in tksurfer on the effect size maps. This indeed results in a higher threshold for clusters to appear, but I am not sure whether this is a valid tool to use in statistical maps other than .sig ? As a p-value reflects the "chances" of finding this effect by chance and the MC-correction is about reducing the "chance of false positives", and Cohen's D not reflecting such chances, is correction for multiple comparisons even sound when reporting effect sizes? If so, what would be the best approach to determine an MC-corrected threshold for effect sizes? Thanks again for your help, you have been very helpful so far! Best wishes, Lizanne
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