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Detection of n:m Phase Locking from Noisy Data: Application to Magnetoencephalography

P. Tass, M. G. Rosenblum, J. Weule, J. Kurths, A. Pikovsky, J. Volkmann, A. Schnitzler, and H.-J. Freund
Phys. Rev. Lett. 81, 3291 – Published 12 October 1998
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Abstract

We use the concept of phase synchronization for the analysis of noisy nonstationary bivariate data. Phase synchronization is understood in a statistical sense as an existence of preferred values of the phase difference, and two techniques are proposed for a reliable detection of synchronous epochs. These methods are applied to magnetoencephalograms and records of muscle activity of a Parkinsonian patient. We reveal that the temporal evolution of the peripheral tremor rhythms directly reflects the time course of the synchronization of abnormal activity between cortical motor areas.

  • Received 5 June 1998

DOI:https://doi.org/10.1103/PhysRevLett.81.3291

©1998 American Physical Society

Authors & Affiliations

P. Tass1, M. G. Rosenblum2, J. Weule1, J. Kurths2, A. Pikovsky2, J. Volkmann1, A. Schnitzler1, and H.-J. Freund1

  • 1Department of Neurology, Heinrich-Heine-University, Moorenstrasse 5, D-40225 Düsseldorf, Germany
  • 2Department of Physics, University of Potsdam, Am Neuen Palais 19, PF 601553, D-14415, Potsdam, Germany

References

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Issue

Vol. 81, Iss. 15 — 12 October 1998

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