@article{6e424a1289ca4744b1217489079fed8d,
title = "Addressing misallocation of variance in principal components analysis of event-related potentials",
abstract = "Interpretation of evoked response potentials is complicated by the extensive superposition of multiple electrical events. The most common approach to disentangling these features is principal components analysis (PCA). Critics have demonstrated a number of caveats that complicate interpretation, notably misallocation of variance and latency jitter. This paper describes some further caveats to PCA as well as using simulations to evaluate three potential methods for addressing them: parallel analysis, oblique rotations, and spatial PCA. An improved simulation model is introduced for examining these issues. It is concluded that PCA is an essential statistical tool for event-related potential analysis, but only if applied appropriately.",
keywords = "Event-related potentials, Principal components analysis",
author = "Joseph Dien",
note = "Funding Information: * Center for Neuroscience, University of California, Davis, CA, USA. Accepted for publication: June 29,1998. This research was supported in part by NIMH grants MH42129, MH42669,MH18935,MH19554, MH11751,and by a grantfrom the Pew Memorial Trusts and the James S. McDonnell Foundation to support the Center for the Cognitive Neuroscience of Attention, and by Small Business Innovation Research grant MH51069 to ElectricalGeodesies Incorporated,Eugene,Oregon. Thispaperisbasedinpartonadoctoral dissertation submitted to the University of Oregon in 1995. Thanks to my dissertation committee (Mike Posner, Libby Schaughency, Don Tucker, and Rick Zinbarg) for their helpful comments. Thanks also to Greg Miller and KevinSpencer for their helpful comments on an earlier draft. Correspondence and reprint requests should be addressed to Dr. Joseph Dien, Center for Neuroscience, 1544 Newton Court, University of California, Davis, CA, 95616,USA. Fax: (530)757-8827 E-mail: jdien@marzen.ucdavis.edu Copyright {\textcopyright} 1998 Human Sciences Press, Inc. Copyright: Copyright 2007 Elsevier B.V., All rights reserved.",
year = "1998",
doi = "10.1023/A:1022218503558",
language = "English (US)",
volume = "11",
pages = "43--55",
journal = "Brain Topography",
issn = "0896-0267",
publisher = "Kluwer Academic/Human Sciences Press Inc.",
number = "1",
}