Synchronization measurement of multiple neuronal populations

Xiaoli LI, Dong CUI, Premysl JIRUSKA, John E. FOX, Xin YAO, John G. R. JEFFERYS

Research output: Journal PublicationsJournal Article (refereed)peer-review

63 Citations (Scopus)

Abstract

The purpose of the present paper is to develop a method, based on equal-time correlation, correlation matrix analysis and surrogate resampling, that is able to quantify and describe properties of synchronization of population neuronal activity recorded simultaneously from multiple sites. Initially, Lorenz-type oscillators were used to model multiple time series with different patterns of synchronization. Eigenvalue and eigenvector decomposition was then applied to identify "clusters" of locally synchronized activity and to calculate a "global synchronization index." This method was then applied to multichannel data recorded from an in vitro model of epileptic seizures. The results demonstrate that this novel method can be successfully used to analyze synchronization between multiple neuronal population series. Copyright © 2007 The American Physiological Society.
Original languageEnglish
Pages (from-to)3341-3348
Number of pages8
JournalJournal of Neurophysiology
Volume98
Issue number6
Early online date4 Oct 2007
DOIs
Publication statusPublished - Dec 2007
Externally publishedYes

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