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