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

Piotr J. Franaszczuk, Gregory K. Bergey

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish (US)
Pages (from-to)3-9
Number of pages7
JournalBiological Cybernetics
Volume81
Issue number1
DOIs
StatePublished - Jan 1 1999
Externally publishedYes

ASJC Scopus subject areas

  • Biotechnology
  • Computer Science(all)

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