Biological Cybernetics

, Volume 81, Issue 1, pp 3–9 | Cite as

An autoregressive method for the measurement of synchronization of interictal and ictal EEG signals

  • Piotr J. Franaszczuk
  • Gregory K. Bergey
Article

Abstract.

We propose a new measure of synchronization of multichannel ictal and interictal EEG signals. The measure is based on the residual covariance matrix of a multichannel autoregressive model. A major advantage of this measure is its ability to be interpreted both in the framework of stochastic and deterministic models. A preliminary analysis of EEG data from three patients using this measure documents the expected increased synchronization during ictal periods but also reveals that increased synchrony persists for prolonged periods (up to 2 h or more) in the postictal period.

Keywords

Covariance Covariance Matrix Preliminary Analysis Autoregressive Model Deterministic Model 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 1999

Authors and Affiliations

  • Piotr J. Franaszczuk
    • 1
  • Gregory K. Bergey
    • 1
  1. 1.Department of Neurology, University of Maryland School of Medicine, Baltimore, MD 21201, USATP

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