Controlling epileptic seizures in a neural mass model |
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Authors: | Niranjan Chakravarthy Shivkumar Sabesan Kostas Tsakalis Leon Iasemidis |
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Institution: | (1) Department of Electrical Engineering, Arizona State University, Tempe, AZ 85287, USA;(2) The Harrington Department of Bioengineering, Arizona State University, Tempe, AZ 85287, USA |
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Abstract: | In an effort to understand basic functional mechanisms that can produce epileptic seizures, we introduce some key features
in a model of coupled neural populations that enable the generation of seizure-like events and similar dynamics with the ones
observed during the route of the epileptic brain towards real seizures. In this model, modified from David and Friston’s neural
mass model, an internal feedback mechanism is incorporated to maintain synchronous behavior within normal levels despite elevated
coupling. Normal internal feedback quickly regulates an abnormally high coupling between the neural populations, whereas pathological
internal feedback can lead to hypersynchronization and the appearance of seizure-like high amplitude oscillations. Feedback
decoupling is introduced as a robust seizure control strategy. An external feedback decoupling controller is introduced to
maintain normal synchronous behavior. The results from the analysis in this model have an interesting physical interpretation
and specific implications for the treatment of epileptic seizures. The proposed model and control scheme are consistent with
a variety of recent observations in the human and animal epileptic brain, and with theories from nonlinear systems, adaptive
systems, optimization, and neurophysiology. |
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Keywords: | Epileptic seizures modeling Coupled neural populations Internal feedback Feedback decoupling control |
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