Transitions between multistable states as a model of epileptic seizure dynamics.
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.
Takeshita
Daisuke
D
Center for Neurodynamics and Department of Physics and Astronomy, University of Missouri at St Louis, St Louis, MO 63121, USA.
Sato
Yasuomi D
YD
Bahar
Sonya
S
D000200:Action Potentials; D001683:Biological Clocks; D003198:Computer Simulation; D004827:Epilepsy / Q000503:physiopathology*; D008959:Models, Neurological; D019579:Neocortex / Q000503:physiopathology*; D009415:Nerve Net / Q000503:physiopathology*; D009474:Neurons; D009435:Synaptic Transmission