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Detection of transient generalized and mutual phase synchronization by clustering and application to single brain signals

Please always quote using this URN:urn:nbn:de:0296-matheon-1291
  • The present work introduces an analysis framework for the de- tection of metastable signal segments in multivariate time series. It is shown that in case of linear data these segments represent tran- sient generalized synchronization, while metastable segments in circu- lar data reflect transient mutual phase synchronization. We propose a single segmentation approach for both types of data considering the space-time structure of the data. Applications to both event-related potentials and single evoked potentials obtained from an auditory odd- ball experiment reveal the lack of the component P300 in an experi- mental condition, indicates attention effects in component N100 and shows dramatic latency jitters in single trials. A comparison of the proposed method to a conventional index of mutual phase synchro- nization demonstrates the superiority of considering space-time data structures.

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Metadaten
Author:Axel Hutt, Michael Schrauf
URN:urn:nbn:de:0296-matheon-1291
Referee:Anton Bovier
Document Type:Preprint, Research Center Matheon
Language:English
Date of first Publication:2004/04/26
Release Date:2004/04/26
Institute:Weierstraß-Institut für Angewandte Analysis und Stochastik (WIAS)
Preprint Number:121
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