New concepts of multiple tests and their use for evaluating high-dimensional EEG data.

Recently, new concepts of type I error control in multiple comparisons have been proposed, in addition to FWE and FDR control. We introduce these criteria and investigate in simulations how the powers of corresponding test procedures for multiple endpoints depend on various quantities such as number and correlation of endpoints, percentage of false hypotheses, etc. We applied the different multiple tests to EEG coherence data. We compared the memory encoding of subsequently recalled and not recalled nouns. The results show that subsequently recalled nouns elicited significantly higher coherence than not recalled ones.