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Chimera States and Seizures in a Mouse Neuronal Model
Mitchell, Henry M. Dodds, Peter Sheridan Mahoney, J. Matthew Danforth, Christopher M.
Mitchell, Henry M.
Dodds, Peter Sheridan
Mahoney, J. Matthew
Danforth, Christopher M.
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© 2020 The Author(s).
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10.1142/S0218127420502569
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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2020-10-01
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Danforth2020b.pdf
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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.