Neural Networks2022,Vol.14917.DOI:10.1016/j.neunet.2022.01.022

Transition dynamics and optogenetic controls of generalized periodic epileptiform discharges

Shen, Zhuan Zhang, Honghui Cao, Zilu Yan, Luyao Zhao, Yuzhi Du, Lin Deng, Zichen
Neural Networks2022,Vol.14917.DOI:10.1016/j.neunet.2022.01.022

Transition dynamics and optogenetic controls of generalized periodic epileptiform discharges

Shen, Zhuan 1Zhang, Honghui 1Cao, Zilu 1Yan, Luyao 1Zhao, Yuzhi 1Du, Lin 1Deng, Zichen1
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作者信息

  • 1. Sch Math & Stat,Northwestern Polytech Univ
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Abstract

This paper aims to analyze possible mechanisms underlying the generation of generalized periodic epileptiform discharges (GPEDs), especially to design targeted optogenetic regulation strategies. First and foremost, inspired by existing physiological experiments, we propose a new computational framework by introducing a second inhibitory neuronal population and related synaptic connections into the classic Liley mean field model. The improved model can simulate the basic normal and abnormal brain activities mentioned in previous studies, but much to our relief, it perfectly reproduces some types of GPEDs that match the clinical records. Specifically, results show that disinhibitory synaptic connections between inhibitory interneuronal populations are closely related to the occurrence, transition and termination of GPEDs, including delaying the occurrence of GPEDs caused by the excitatory AMPAergic autapses and regulating the transition process of GPEDs bidirectionally, which support the conjecture that selective changes of synaptic connections can trigger GPEDs. Additionally, we creatively offer six optogenetic strategies with dual targets. They can all control GPEDs well, just as experiments reveal that optogenetic stimulation of inhibitory interneurons can suppress abnormal activities in epilepsy or other brain diseases. More importantly, 1:1 coordinated reset stimulation with one period rest is concluded as the optimal strategy after taking into account the energy consumption and control effect. Hope these results provide feasible references for pathophysiological mechanisms of GPEDs. (C)& nbsp;2022 Elsevier Ltd. All rights reserved.

Key words

Mean field model/Optogenetic/Inhibitory population/Generalized periodic epileptiform discharge (GPED)/CRITICALLY-ILL CHILDREN/EEG PATTERNS/CLINICAL-FEATURES/MODEL/STIMULATION/INTERNEURONS/CHANNELRHODOPSIN-2/PHOTOCYCLES/INHIBITION/RHYTHM

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出版年

2022
Neural Networks

Neural Networks

EISCI
ISSN:0893-6080
被引量3
参考文献量54
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