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Physica D: Nonlinear Phenomena
Volume 144, Issues 3-4, 1 October 2000, Pages 358-369
 
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doi:10.1016/S0167-2789(00)00087-7    How to Cite or Link Using DOI (Opens New Window)
Copyright © 2000 Elsevier Science B.V. All rights reserved.

Mean phase coherence as a measure for phase synchronization and its application to the EEG of epilepsy patients

Florian MormannCorresponding Author Contact Information, E-mail The Corresponding Author, a, b, Klaus Lehnertza, Peter Davidb and Christian E. Elgera

a Clinic of Epileptology, University of Bonn, Sigmund-Freud-Strasse 25, 53105 Bonn, Germany b Institute for Radiation and Nuclear Physics, University of Bonn, Nussallee 14-16, 53115 Bonn, Germany

Received 18 February 2000;
accepted 3 April 2000
Communicated by H. Müller-Krumbhaar
Available online 24 August 2000.

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Abstract

We apply the concept of phase synchronization of chaotic and/or noisy systems and the statistical distribution of the relative instantaneous phases to electroencephalograms (EEGs) recorded from patients with temporal lobe epilepsy. Using the mean phase coherence as a statistical measure for phase synchronization, we observe characteristic spatial and temporal shifts in synchronization that appear to be strongly related to pathological activity. In particular, we observe distinct differences in the degree of synchronization between recordings from seizure-free intervals and those before an impending seizure, indicating an altered state of brain dynamics prior to seizure activity.

Author Keywords: Hilbert transform; Mean phase coherence; Phase synchronization; Electroencephalogram; Epilepsy

PACS classification codes: 05.10.−a; 05.45.Tp; 05.45.Xt; 87.19.La

Article Outline

1. Introduction
2. Phase synchronization in chaotic or noisy systems
3. Analysis of the EEG of epilepsy patients
4. Interpretation of results
4.1. Spatial variability of synchronization
4.2. Temporal variability of synchronization
5. Discussion
6. Conclusions
Acknowledgements
References








 
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