Mesoscopic neuron population modeling of normal/epileptic brain dynamics

Mark Myers, Robert Kozma

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

Simulations of EEG data provide the understanding of how the limbic system exhibits normal and abnormal states of the electrical activity of the brain. While brain activity exhibits a type of homeostasis of excitatory and inhibitory mesoscopic neuron behavior, abnormal neural firings found in the seizure state exhibits brain instability due to runaway oscillatory entrained neural behavior. We utilize a model of mesoscopic brain activity, the KIV model, where each network represents the areas of the limbic system, i.e., hippocampus, sensory cortex, and the amygdala. Our model initially demonstrates oscillatory entrained neural behavior as the epileptogenesis, and then by increasing the external weights that join the three networks that represent the areas of the limbic system, seizure activity entrains the entire system. By introducing an external signal into the model, simulating external electrical titration therapy, the modeled seizure behavior can be ‘rebalanced’ back to its normal state.

Original languageEnglish (US)
Pages (from-to)211-223
Number of pages13
JournalCognitive Neurodynamics
Volume12
Issue number2
DOIs
StatePublished - Apr 1 2018

Fingerprint

Limbic System
Neurons
Seizures
Brain
Population
Homeless Youth
Amygdala
Electroencephalography
Hippocampus
Homeostasis
Weights and Measures
Therapeutics

All Science Journal Classification (ASJC) codes

  • Cognitive Neuroscience

Cite this

Mesoscopic neuron population modeling of normal/epileptic brain dynamics. / Myers, Mark; Kozma, Robert.

In: Cognitive Neurodynamics, Vol. 12, No. 2, 01.04.2018, p. 211-223.

Research output: Contribution to journalArticle

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