Dear Experts and Colleagues,
In my recent research, I encountered a statistical issue: in an initial exploratory MEG analysis, I performed analyses for the entire frequency bands of delta, theta, alpha, beta, gamma1, and gamma2 between groups. However, only the theta band showed strong positive results, while the other frequency bands either showed no effects or yielded poor outcomes. Therefore, after applying FDR correction to control for both the frequency and signal dimensions, my results turned out negative. In this situation, would it be acceptable not to correct for the frequency dimension, but rather treat each frequency band as an independent hypothesis and apply corrections solely for the signal dimension within each frequency band?
Thanks for your help.
You probably want to use a cluster-based permutation test.