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Biophys. J. BioFAST: First Published October 5, 2007. doi:10.1529/biophysj.107.113001
© 2007 by the Biophysical Society.


A more recent version of this article appeared on February 1, 2008.
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Characterization of Synchronization in Interacting Groups of Oscillators: Application to Seizures

Istvan Z Kiss 1*, Mark Quigg 1, Shi-Hyung Calvin Chun 1, Hiroshi Kori 2 and John L. Hudson 1

1 University of Virginia
2 Hokkaido University

* To whom correspondence should be addressed. E-mail: izkiss{at}slu.edu.

Submitted on May 16, 2007
Revised on July 16, 2007
Accepted on 20 September 2007


   Abstract
We investigate the emergence of synchronization in two groups of oscillators; one group acts as a synchronization source, and the other as the target. Based on phase model simulations, we construct a synchrony index (SI): a combination of intra- and inter-group synchronies. The SI characterizes the extent of induced synchrony in the population. We demonstrate the usefulness of the measure in a test case of mesial temporal lobe epilepsy: the SI can be readily calculated from standard electroencephalographic measurements. We show that the synchrony index has a statistically significant increased value for the ictal periods and that the epileptic focus can be located by identifying the most synchronous pairs of electrodes during the initial part of ictal period of the seizure. We also show that it is possible in this pilot case to differentiate clinical and subclinical seizures based on the dynamical features of the synchronization. The synchronization index was found to be a useful quantity for the characterization of 'pathological hypersynchronization' within a well-characterized patient with mesial temporal lobe epilepsy and thus has potential medical value in seizure detection, localizing ability, and association with later surgical outcome.

Key Words: complexity, epilepsy, nonlinear dynamics, oscillations, phase model, synchrony




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J. H. Sheeba, A. Stefanovska, and P. V. E. McClintock
Neuronal Synchrony during Anesthesia: A Thalamocortical Model
Biophys. J., September 15, 2008; 95(6): 2722 - 2727.
[Abstract] [Full Text] [PDF]




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Copyright © 2007 by the Biophysical Society.