Dear FreeSurfers,
I’m comparing two groups (patients (N=45) and controls (N=93)) on cortical thickness using 34 parcelated areas in each hemisphere (i.e. 68 areas in total). When correcting for multiple comparisons using Bonferroni, only one area remains significant. Bonferroni is quite conservative (alpha needs to be lower than 0.05/68= 0.000735). Could you recommend any other, more lenient correction statistics for my data?
In a search through the literature, I encountered adjusted Bonferroni or Benjamini-Hochberg as alternatives. Do you think these would be useful statistics, or have I missed other, more appropriate ones?
Thanks a lot,
Anna