Hi MVPA colleagues, Absolutely naive question: suppose I have single a-priori defined ROI where I get a modest group-level beyond chance prediction of p-value=0.01 (one-tail t-test vs. 0.5, across subjects). Now I run a group level whole-brain search-light and I am expected to find at least one cluster of beyond chance prediction in the environment of my ROI. Correct? But when I run whole-brain search-light I have to make a multiple-comparison correction (let's say FDR=0.05), which means that my p-value threshold is something like 0.001 in best case. Clearly, my cluster cannot survive it. Does it make sense to you? What is the solution? I can make a small-volume search-light (with corresponding small multiple-comparison correction) - just to show that my ROI analysis is reproducible. Yet, people will say that who knows, whether with such a liberal correction I can now find many other clusters in search-light.
Thanks for help, Vadim
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