温度对癫痫发作中神经元同步化的影响

IF 2.7 2区 数学 Q1 MATHEMATICS, APPLIED Chaos Pub Date : 2024-08-01 DOI:10.1063/5.0219836
Rosangela Follmann, Twinkle Jaswal, George Jacob, Jonas Ferreira de Oliveira, Carter B Herbert, Elbert E N Macau, Epaminondas Rosa
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引用次数: 0

摘要

我们介绍了一个神经元网络计算模型,该模型是为了研究温度对大脑神经元同步的影响以及癫痫发作而开发的。该网络由一组混乱猝发神经元组成,它们围绕着一个具有周期性边界条件的正方形晶格中的核心强直神经元。每个神经元通过与温度相关的间隙连接与其四个近邻神经元相互耦合。在间隙连接中加入温度因素会使温度升高时耦合更强,从而提高网络同步的可能性。温度的升高最终会使网络产生从中心向外传播的环形同步波纹。我们认为这一过程可能是大脑温度升高诱发癫痫发作的潜在机制。
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Temperature effects on neuronal synchronization in seizures.

We present a computational model of networked neurons developed to study the effect of temperature on neuronal synchronization in the brain in association with seizures. The network consists of a set of chaotic bursting neurons surrounding a core tonic neuron in a square lattice with periodic boundary conditions. Each neuron is reciprocally coupled to its four nearest neighbors via temperature dependent gap junctions. Incorporating temperature in the gap junctions makes the coupling stronger when temperature rises, resulting in higher likelihood for synchrony in the network. Raising the temperature eventually makes the network elicit waves of synchronization in circular ripples that propagate from the center outwardly. We suggest this process as a possible underlying mechanism for seizures induced by elevated brain temperatures.

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来源期刊
Chaos
Chaos 物理-物理:数学物理
CiteScore
5.20
自引率
13.80%
发文量
448
审稿时长
2.3 months
期刊介绍: Chaos: An Interdisciplinary Journal of Nonlinear Science is a peer-reviewed journal devoted to increasing the understanding of nonlinear phenomena and describing the manifestations in a manner comprehensible to researchers from a broad spectrum of disciplines.
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