The active role of non-synaptic electromagnetic induction in modulating absence epilepsy: a kinetic modeling study.

IF 2 4区 工程技术 Q3 COMPUTER SCIENCE, CYBERNETICS
Tianying Yang, Peiyao Zheng, Xuyue Fang, Jia Song, Bing Hu
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引用次数: 0

Abstract

We propose a novel computational model incorporating simplified representations of the basal ganglia, cortex, and thalamus (SGGCT network), and systematically investigate the regulatory and control mechanisms underlying typical absence seizures in the cortex under memristive electromagnetic induction. Spike-and-wave discharges (SWDs, 2-4 Hz), a hallmark of absence epilepsy, are successfully reproduced in the SGGCT model by modulating the coupling strengths of two excitatory output projections to the thalamic specific relay nuclei (SRN). Our findings highlight the critical role of both the direct glutamatergic cortico-pallidal and cortico-nigral pathways in seizure regulation, acting through distinct inhibitory routes: the globus pallidus interna (GPi)-SRN pathway and the GPi-thalamic reticular nucleus (TRN) pathway, respectively. The cortex emerges as a promising target for electrical stimulation to suppress SWDs. We observe that applying memristive electromagnetic induction to the cortex significantly reduces the parameter space conducive to SWDs generation. Furthermore, electromagnetic induction enhances the ability of basal ganglia pathways to inhibit SWDs. Specifically, electromagnetic induction can transform previously unsuppressible SWDs regimes into suppressible ones. It also alters the operational mode of basal ganglia pathways in controlling seizure dynamics. Notably, the suppression efficacy can be optimized by tuning the memristor's control parameters. These results provide computational evidence supporting the potential of electromagnetic induction as a neuromodulatory strategy, which might offer testable hypotheses for future clinical interventions in epilepsy treatment.

非突触电磁感应在调节缺失癫痫中的积极作用:动力学模型研究。
我们提出了一种新的计算模型,结合基底节区、皮层和丘脑(SGGCT网络)的简化表示,并系统地研究了记忆电磁感应下皮层典型失神癫痫的调节和控制机制。在SGGCT模型中,通过调节丘脑特异性中继核(SRN)的两个兴奋性输出投射的耦合强度,成功地再现了缺失癫痫的标志——峰波放电(SWDs, 2-4 Hz)。我们的研究结果强调了直接的谷氨酸能皮质-苍白球通路和皮质-神经通路在癫痫发作调节中的关键作用,它们分别通过不同的抑制途径起作用:苍白球内(GPi)-SRN通路和GPi-丘脑网状核(TRN)通路。脑皮层成为电刺激抑制SWDs的理想靶点。我们观察到,在皮层上施加记忆电磁感应可以显著减少有利于SWDs产生的参数空间。此外,电磁感应增强了基底神经节通路抑制SWDs的能力。具体来说,电磁感应可以将以前不可抑制的SWDs转变为可抑制的SWDs。它还改变基底神经节通路控制癫痫发作的运作模式。值得注意的是,可以通过调整忆阻器的控制参数来优化抑制效果。这些结果提供了计算证据,支持电磁感应作为一种神经调节策略的潜力,这可能为未来癫痫治疗的临床干预提供可测试的假设。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Biological Cybernetics
Biological Cybernetics 工程技术-计算机:控制论
CiteScore
3.50
自引率
5.30%
发文量
38
审稿时长
6-12 weeks
期刊介绍: Biological Cybernetics is an interdisciplinary medium for theoretical and application-oriented aspects of information processing in organisms, including sensory, motor, cognitive, and ecological phenomena. Topics covered include: mathematical modeling of biological systems; computational, theoretical or engineering studies with relevance for understanding biological information processing; and artificial implementation of biological information processing and self-organizing principles. Under the main aspects of performance and function of systems, emphasis is laid on communication between life sciences and technical/theoretical disciplines.
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