PMID: 11308934Apr 20, 2001Paper

Synchronization as adjustment of information rates: detection from bivariate time series

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
M PalusK Sterbová

Abstract

An information-theoretic approach for studying synchronization phenomena in experimental bivariate time series is presented. "Coarse-grained" information rates are introduced and their ability to indicate generalized synchronization as well as to establish a "direction of information flow" between coupled systems, i.e., to discern the driving from the driven (response) system, is demonstrated using numerically generated time series from unidirectionally coupled chaotic systems. The method introduced is then applied in a case study of electroencephalogram recordings of an epileptic patient. Synchronization events leading to seizures have been found on two levels of organization of brain tissues and "directions of information flow" among brain areas have been identified. This allows localization of the primary epileptogenic areas, also confirmed by magnetic resonance imaging and pasitron emission tomography scans.

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Citations

Aug 14, 2010·Journal of Computational Neuroscience·Raul VicenteGordon Pipa
Apr 23, 2003·Journal of Neuroscience Methods·Mario ChávezMichel Le Van Quyen
Jan 26, 2013·PloS One·Vasily A VakorinAnthony R McIntosh
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Oct 24, 2001·IEEE Engineering in Medicine and Biology Magazine : the Quarterly Magazine of the Engineering in Medicine & Biology Society·M PalusK Sterbová
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