[FieldTrip] Cluster-based permutation tests on time-frequency and size of conditions

[Martina Rossi]

Dear All,
I would like to get some feedback from the community about a statistical analysis problem I need to tackle with my study.I want to apply the cluster-based permutation tests on time-frequency data considering two conditions (correct vs error).Unfortunately, these two conditions have different sizes (correct >> error).Right now, I am only considering subjects having a ratio "error/correct" bigger than 1/5, yet this is only an arbitrary threshold I set.The question is the following:is there a formal way to identify a threshold by which two conditions can be realiably compared with the cluster-based permutation tests?If the cluster-based approach is not suitable in this scenario, is there any other approach you would suggest?I shall perhaps point out that I am working on EEG data recorded with a 32 channel system (impedance levels < 10 kΩ).
Looking forward to hear your feedback :)
Kind Regards,Martina Rossi
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