title: Wavelet entropy in event-related potentials: a new method shows ordering of EEG oscillations.
abstract: In this work we show the application of a measure of entropy defined from the wavelet transform, namely the wavelet entropy (WS), to the study of event-related potentials (ERPs). WS was computed for ERPs recorded from nine healthy subjects with three different types of stimuli, among them target stimuli in a cognitive task. A significant decrease of entropy was correlated with the responses to target stimuli (P300), thus showing that these responses correspond to a more "ordered" state than the spontaneous EEG. Furthermore, we propose the WS as a quantitative measure for such transitions between EEG ("disordered state") and ERP ("ordered state").
authors.affiliation: Institute of Physiology, Medical University of Lübeck, Ratzeburger Allee 160, 23538 Lübeck, Germany.
authors.forename: R Q
authors.initials: RQ
authors.lastname: Quiroga
authors.forename: O A
authors.initials: OA
authors.lastname: Rosso
authors.forename: E
authors.initials: E
authors.lastname: Başar
authors.forename: M
authors.initials: M
authors.lastname: Schürmann
mesh_terms: D000328:Adult; D004569:Electroencephalography; D019277:Entropy; D018913:Event-Related Potentials, P300 / Q000502:physiology*; D005260:Female; D006801:Humans; D008297:Male; D008959:Models, Neurological; D010507:Periodicity