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A Biologically Constrained, Mathematical Model of Cortical Wave Propagation Preceding Seizure Termination

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2015

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Public Library of Science
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González-Ramírez, Laura R., Omar J. Ahmed, Sydney S. Cash, C. Eugene Wayne, and Mark A. Kramer. 2015. “A Biologically Constrained, Mathematical Model of Cortical Wave Propagation Preceding Seizure Termination.” PLoS Computational Biology 11 (2): e1004065. doi:10.1371/journal.pcbi.1004065. http://dx.doi.org/10.1371/journal.pcbi.1004065.

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Abstract

Epilepsy—the condition of recurrent, unprovoked seizures—manifests in brain voltage activity with characteristic spatiotemporal patterns. These patterns include stereotyped semi-rhythmic activity produced by aggregate neuronal populations, and organized spatiotemporal phenomena, including waves. To assess these spatiotemporal patterns, we develop a mathematical model consistent with the observed neuronal population activity and determine analytically the parameter configurations that support traveling wave solutions. We then utilize high-density local field potential data recorded in vivo from human cortex preceding seizure termination from three patients to constrain the model parameters, and propose basic mechanisms that contribute to the observed traveling waves. We conclude that a relatively simple and abstract mathematical model consisting of localized interactions between excitatory cells with slow adaptation captures the quantitative features of wave propagation observed in the human local field potential preceding seizure termination.

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