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

Laura R. González-Ramírez, Omar J. Ahmed, Sydney S. Cash, C. Eugene Wayne, Mark A. Kramer

Research output: Contribution to journalArticlepeer-review

38 Scopus citations

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.

Original languageEnglish
Article numbere1004065
JournalPLoS Computational Biology
Volume11
Issue number2
DOIs
StatePublished - 2015
Externally publishedYes

Fingerprint

Dive into the research topics of 'A Biologically Constrained, Mathematical Model of Cortical Wave Propagation Preceding Seizure Termination'. Together they form a unique fingerprint.

Cite this