Randomization-based hypothesis testing from event-related data

Brain Topography
Richard E Greenblatt, Mark E Pflieger

Abstract

Methods are described for non-parametric significance testing from event-related encephalographic data, using randomization tests. These methods may be applied in both signal space and source space. The methods include within-subject between-condition comparisons, paired and unpaired comparisons, and within-group and between-group comparisons. Test statistics are also derived for comparing the spatial or temporal response patterns, independent of specific changes at individual locations. Novel methods for testing peak-height significance, and also for making map-wide comparisons, are described. These methods have been validated using simulated data.

Citations

Aug 5, 2011·Journal of Cognitive Neuroscience·Tullia PadovaniWalter J Perrig
Dec 19, 2013·Journal of Cognitive Neuroscience·L Gregory AppelbaumMarty G Woldorff
Mar 5, 2016·Brain Topography·Benjamin T FilesAmar R Marathe
Mar 23, 2012·IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society·Randall L BarbourMark E Pflieger
Oct 14, 2014·Clinical Neurophysiology : Official Journal of the International Federation of Clinical Neurophysiology·Oleg KorzyukovCharles Larson
Jan 31, 2006·International Review of Neurobiology·Arjan Hillebrand, Gareth R Barnes
Feb 6, 2017·Biomedical Engineering Letters·Michael WagnerFernando Gasca

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