"Chimera States and Seizures in a Mouse Neuronal Model" by Henry M. Mitchell, Peter Sheridan Dodds et al.

College of Engineering and Mathematical Sciences Faculty Publications

Title

Chimera States and Seizures in a Mouse Neuronal Model

Authors

Henry M. Mitchell, University of Vermont
Peter Sheridan Dodds, University of Vermont
J. Matthew Mahoney, University of Vermont
Christopher M. Danforth, University of Vermont

Document Type

Article

Publication Date

10-1-2020

Abstract

Chimera states - the coexistence of synchrony and asynchrony in a nonlocally-coupled network of identical oscillators - are often used as a model framework for epileptic seizures. Here, we explore the dynamics of chimera states in a network of modified Hindmarsh-Rose neurons, configured to reflect the graph of the mesoscale mouse connectome. Our model produces superficially epileptiform activity converging on persistent chimera states in a large region of a two-parameter space governing connections (a) between subcortices within a cortex and (b) between cortices. Our findings contribute to a growing body of literature suggesting mathematical models can qualitatively reproduce epileptic seizure dynamics.

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Recommended Citation

Mitchell HM, Dodds PS, Mahoney JM, Danforth CM. Chimera States and Seizures in a Mouse Neuronal Model. International Journal of Bifurcation and Chaos. 2020 Oct;30(13):2050256.