利用基于计算图的模型研究暴露于电磁辐射下神经元网络自发电活动的变化。

IF 1.5 4区 医学 Q3 MATHEMATICAL & COMPUTATIONAL BIOLOGY Journal of Computational Neuroscience Pub Date : 2023-02-01 DOI:10.1007/s10827-022-00842-8
Mohsen Kamelian Rad, Meysam Hedayati Hamedani, Mohammad Bagher Khodabakhshi
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引用次数: 0

摘要

神经元网络中神经元之间的相互作用产生自发的电活动。但是电磁辐射对这些活动的影响还没有得到很好的研究。在本研究中,考虑了三个耦合的一维鲁可夫神经元环和产生的电磁场(EMF),以研究电磁场暴露下自发活动的变化。通过分岔分析和时间序列分析,对电磁感应引起的神经元行为变化有了一个全面的认识。本研究的主要发现如下:1)当神经元网络表现出自发的混沌放电方式(没有任何外界刺激)时,产生的磁场会抑制这种行为。事实上,电动势完全消除了神经元环路的混沌固有行为。2)当神经网络呈现规则的3周期尖峰模式时,产生的磁场将其发射模式改变为混沌尖峰,类似于癫痫发作。3)在突触连接薄弱的情况下,电磁辐射抑制和抑制神经元活动。4)当外磁通量幅值较高时,可根据其形状改变感应电流的形状。5)当网络中存在弱突触连接时,高频外磁通量会引起膜电压的高频波动。总的来说,电磁辐射根据神经元的突触强度和初始状态改变了大脑中神经元网络自发活动的模式。
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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Variations of the spontaneous electrical activities of the neuronal networks imposed by the exposure of electromagnetic radiations using computational map-based modeling.

The interaction between neurons in a neuronal network develops spontaneous electrical activities. But the effects of electromagnetic radiation on these activities have not yet been well explored. In this study, a ring of three coupled 1-dimensional Rulkov neurons and the generated electromagnetic field (EMF) are considered to investigate how the spontaneous activities might change regarding the EMF exposure. By employing the bifurcation analysis and time series, a comprehensive view of neuronal behavioral changes due to electromagnetic inductions is provided. The main findings of this study are as follows: 1) When a neuronal network is showing a spontaneous chaotic firing manner (without any external stimuli), a generated magnetic field inhibits this type of behavior. In fact, EMF completely eliminated the chaotic intrinsic behaviors of the neuronal loop. 2) When the network is exhibiting regular period-3 spiking patterns, the generated magnetic field changes its firing pattern to chaotic spiking, which is similar to epileptic seizures. 3) With weak synaptic connections, electromagnetic radiation inhibits and suppresses neuronal activities. 4) If the external magnetic flux has a high amplitude, it can change the shape of the induction current according to its shape 5) when there are weak synaptic connections in the network, a high-frequency external magnetic flux engenders high-frequency fluctuations in the membrane voltages. On the whole, electromagnetic radiation changes the pattern of the spontaneous activities of neuronal networks in the brain according to synaptic strengths and initial states of the neurons.

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来源期刊
CiteScore
2.00
自引率
8.30%
发文量
32
审稿时长
3 months
期刊介绍: The Journal of Computational Neuroscience provides a forum for papers that fit the interface between computational and experimental work in the neurosciences. The Journal of Computational Neuroscience publishes full length original papers, rapid communications and review articles describing theoretical and experimental work relevant to computations in the brain and nervous system. Papers that combine theoretical and experimental work are especially encouraged. Primarily theoretical papers should deal with issues of obvious relevance to biological nervous systems. Experimental papers should have implications for the computational function of the nervous system, and may report results using any of a variety of approaches including anatomy, electrophysiology, biophysics, imaging, and molecular biology. Papers investigating the physiological mechanisms underlying pathologies of the nervous system, or papers that report novel technologies of interest to researchers in computational neuroscience, including advances in neural data analysis methods yielding insights into the function of the nervous system, are also welcomed (in this case, methodological papers should include an application of the new method, exemplifying the insights that it yields).It is anticipated that all levels of analysis from cognitive to cellular will be represented in the Journal of Computational Neuroscience.
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