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PubMed · 15379218

Randomization-based hypothesis testing from event-related data.

Richard E Greenblatt·Mark E Pflieger
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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.

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Brain MappingData Interpretation, StatisticalElectroencephalographyEvoked PotentialsHumansModels, StatisticalResearch DesignStatistics, NonparametricComparative StudyJournal ArticleResearch Support, U.S. Gov't, P.H.S.

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Richard E Greenblatt, Mark E Pflieger. 2004. Randomization-based hypothesis testing from event-related data.. https://doi.org/10.1023/b%3Abrat.0000032856.48286.18

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