Control aspects of a theoretical model for epileptic seizures

Konstantinos Tsakalis, Leon Iasemidis

Research output: Contribution to journalArticle

25 Citations (Scopus)

Abstract

We discuss the key features of theoretical models of networks of coupled chaotic oscillators that produce seizure-like events and bear striking similarities to dynamics of epileptic seizures. Our long-term objective is to understand the basic functional mechanisms that can produce seizures and may ultimately lead to strategies for seizure suppression and control. We show that, from a dynamical systems point of view, a plausible cause of seizures is a pathological feedback in the brain circuitry. This suggests new seizure control approaches, as well as systematic methods to tune existing ones. While the suggested models and control approaches are far from being considered optimal for epileptic seizures, they have interesting physical interpretation and implications for treatments of epilepsy. They also have close ties with a variety of recent practical observations in the human and animal epileptic brain, and with theories from adaptive systems, optimization and chaos.

Original languageEnglish (US)
Pages (from-to)2013-2027
Number of pages15
JournalInternational Journal of Bifurcation and Chaos
Volume16
Issue number7
DOIs
StatePublished - Jul 2006

Fingerprint

Theoretical Model
Brain
Chaotic Oscillator
Epilepsy
Adaptive systems
Coupled Oscillators
Adaptive Systems
Tie
Chaos theory
Animals
Chaos
Dynamical systems
Dynamical system
Feedback
Optimization
Model
Similarity
Strategy
Observation
Interpretation

Keywords

  • Electrical stimulation
  • Epileptic seizures
  • Feedback control

ASJC Scopus subject areas

  • General
  • Applied Mathematics

Cite this

Control aspects of a theoretical model for epileptic seizures. / Tsakalis, Konstantinos; Iasemidis, Leon.

In: International Journal of Bifurcation and Chaos, Vol. 16, No. 7, 07.2006, p. 2013-2027.

Research output: Contribution to journalArticle

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