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 Citations (Scopus)

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

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seizures
brain
time synchronization
electroencephalography
determinants
dynamical systems
eigenvalues
prototypes
matrices

ASJC Scopus subject areas

  • Physics and Astronomy(all)

Cite this

Characterization of synchrony with applications to epileptic brain signals. / Lai, Ying-Cheng; Frei, Mark G.; Osorio, Ivan; Huang, Liang.

In: Physical Review Letters, Vol. 98, No. 10, 108102, 06.03.2007.

Research output: Contribution to journalArticle

Lai, Ying-Cheng ; Frei, Mark G. ; Osorio, Ivan ; Huang, Liang. / Characterization of synchrony with applications to epileptic brain signals. In: Physical Review Letters. 2007 ; Vol. 98, No. 10.
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