Characterization of synchrony with applications to epileptic brain signals

Ying-Cheng Lai, Mark G. Frei, Ivan Osorio, Liang Huang

Research output: Contribution to journalArticle

37 Scopus citations

Abstract

Measurement of synchrony in networks of complex or high-dimensional, nonstationary, and noisy systems such as the mammalian brain is technically difficult. We present a general method to analyze synchrony from multichannel time series. The idea is to calculate the phase-synchronization times and to construct a matrix. We develop a random-matrix-based criterion for proper choosing of the diagonal matrix elements. Monitoring of the eigenvalues and the determinant provides an effective way to assess changes in synchrony. The method is tested using a prototype nonstationary dynamical system, electroencephalogram (scalp) data from absence seizures for which enhanced synchrony is presumed, and electrocorticogram (intracranial) data from subjects having partial seizures with secondary generalization.

Original languageEnglish (US)
Article number108102
JournalPhysical Review Letters
Volume98
Issue number10
DOIs
StatePublished - Mar 6 2007

ASJC Scopus subject areas

  • Physics and Astronomy(all)

Fingerprint Dive into the research topics of 'Characterization of synchrony with applications to epileptic brain signals'. Together they form a unique fingerprint.

  • Cite this