Pernet, C.R., Latinus, M., Nichols, T.E. and Rousselet, G.A. (2014) Cluster-based computational methods for mass univariate analyses of event-related brain potentials/fields: A simulation study. Journal of Neuroscience Methods, 25(SI), pp. 85-93. (doi: 10.1016/j.jneumeth.2014.08.003) (PMID:25128255) (PMCID:PMC4510917)
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Abstract
Background: In recent years, analyses of event related potentials/fields have moved from the selection of a few components and peaks to a mass-univariate approach in which the whole data space is analyzed. Such extensive testing increases the number of false positives and correction for multiple comparisons is needed. Method: Here we review all cluster-based correction for multiple comparison methods (cluster-height, cluster-size, cluster-mass, and threshold free cluster enhancement – TFCE), in conjunction with two computational approaches (permutation and bootstrap). Results: Data driven Monte-Carlo simulations comparing two conditions within subjects (two samples Student's t-test) showed that, on average, all cluster-based methods using permutation or bootstrap alike control well the family-wise error rate (FWER), with a few caveats. Conclusions: (i) A minimum of 800 iterations are necessary to obtain stable results; (ii) below 50 trials, bootstrap methods are too conservative; (iii) for low critical family-wise error rates (e.g. p = 1%), permutations can be too liberal; (iv) TFCE controls best the type 1 error rate with an attenuated extent parameter (i.e. power < 1).
| Item Type: | Articles |
|---|---|
| Status: | Published |
| Refereed: | Yes |
| Glasgow Author(s) Enlighten ID: | Rousselet, Dr Guillaume and Latinus, Dr Marianne |
| Authors: | Pernet, C.R., Latinus, M., Nichols, T.E., and Rousselet, G.A. |
| College/School: | College of Medical Veterinary and Life Sciences > School of Psychology & Neuroscience |
| Journal Name: | Journal of Neuroscience Methods |
| Publisher: | Elsevier B.V. |
| ISSN: | 0165-0270 |
| ISSN (Online): | 1872-678X |
| Copyright Holders: | Copyright © 2014 The Authors |
| First Published: | First published in Journal of Neuroscience Methods 25(S1):85-93 |
| Publisher Policy: | Reproduced under a Creative Commons License |
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