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arXiv · 1908.07039

Chimera States and Seizures in a Mouse Neuronal Model

Henry M. Mitchell·Peter Sheridan Dodds·J. Matthew Mahoney·Christopher M. Danforth
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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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Henry M. Mitchell, Peter Sheridan Dodds, J. Matthew Mahoney, Christopher M. Danforth. 2020-06-23. Chimera States and Seizures in a Mouse Neuronal Model. https://doi.org/10.1142/s0218127420502569

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