Transitions between multistable states as a model of epileptic seizure dynamics

Daisuke Takeshita, Yasuomi Sato, Sonya Bahar

Research output: Contribution to journalArticle

32 Citations (Scopus)

Abstract

Epileptic seizures are generally considered to result from excess and synchronized neural activity. Additionally, changes in amplitude and frequency are often seen in local field potential or electroencephalogram recordings during a seizure event. To investigate how seizures initiate, and how dynamical changes occur during seizure progression, we develop a neocortical network model based on a model suggested by Wilson [J. Theor. Biol. 200, 375 (1999)]. We propose a possible mechanism for seizure initiation as a bifurcation, and suggest that experimentally observed changes in field potential amplitude and frequency during the course of a seizure may be explained by noise-induced transitions among multistable states.

Original languageEnglish
Article number051925
JournalPhysical Review E - Statistical, Nonlinear, and Soft Matter Physics
Volume75
Issue number5
DOIs
Publication statusPublished - 2007 May 31

ASJC Scopus subject areas

  • Statistical and Nonlinear Physics
  • Statistics and Probability
  • Condensed Matter Physics

Fingerprint Dive into the research topics of 'Transitions between multistable states as a model of epileptic seizure dynamics'. Together they form a unique fingerprint.

  • Cite this