Mass univariate analysis of event‐related brain potentials/fields I: A critical tutorial review

Psychophysiology - Tập 48 Số 12 - Trang 1711-1725 - 2011
David M. Groppe1, Thomas P. Urbach1, Marta Kutas1,2
1Department of Cognitive Science, University of California, San Diego, La Jolla, California, USA
2Department of Neurosciences, University of California, San Diego, La Jolla, California, USA

Tóm tắt

AbstractEvent‐related potentials (ERPs) and magnetic fields (ERFs) are typically analyzed via ANOVAs on mean activity in a priori windows. Advances in computing power and statistics have produced an alternative, mass univariate analyses consisting of thousands of statistical tests and powerful corrections for multiple comparisons. Such analyses are most useful when one has little a priori knowledge of effect locations or latencies, and for delineating effect boundaries. Mass univariate analyses complement and, at times, obviate traditional analyses. Here we review this approach as applied to ERP/ERF data and four methods for multiple comparison correction: strong control of the familywise error rate (FWER) via permutation tests, weak control of FWER via cluster‐based permutation tests, false discovery rate control, and control of the generalized FWER. We end with recommendations for their use and introduce free MATLAB software for their implementation.

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Psychophysiology

Tập 48 Số 12

1711-1725

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