ArticleScientific reports2019
Robust closed-loop control of spike-and-wave discharges in a thalamocortical computational model of absence epilepsy.
Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Neuronal silence as a predictive biomarker and target for epileptic seizures suppression.Scientific reports · 2026Article
- Passive neuromodulation: an energy-driven mechanism for closed-loop suppression of epileptic seizures.bioRxiv : the preprint server for biology · 2026Article
- Adaptive fuzzy iterative learning control based neurostimulation system and in-silico evaluation.Cognitive neurodynamics · 2024Article
- Suppression of seizure in childhood absence epilepsy using robust control of deep brain stimulation: a simulation study.Scientific reports · 2023Article
- Dynamic effect of electromagnetic induction on epileptic waveform.BMC neuroscience · 2022Article
- Dynamic Transitions of Epilepsy Waveforms Induced by Astrocyte Dysfunction and Electrical Stimulation.Neural plasticity · 2020Article
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Authors and funding
7 authors.
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Abstract
In this paper, we investigate the abatement of spike-and-wave discharges in a thalamocortical model using a closed-loop brain stimulation method. We first explore the complex states and various transitions in the thalamocortical computational model of absence epilepsy by using bifurcation analysis. We demonstrate that the Hopf and double cycle bifurcations are the key dynamical mechanisms of the experimental observed bidirectional communications during absence seizures through top-down cortical excitation and thalamic feedforward inhibition. Then, we formulate the abatement of epileptic seizures to a closed-loop tracking control problem. Finally, we propose a neural network based sliding mode feedback control system to drive the dynamics of pathological cortical area to track the desired normal background activities. The control system is robust to uncertainties and disturbances, and its stability is guaranteed by Lyapunov stability theorem. Our results suggest that the seizure abatement can be modeled as a tracking control problem and solved by a robust closed-loop control method, which provides a promising brain stimulation strategy.
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