Dynamic responses of neurons in different states under magnetic field stimulation.

IF 1.5 4区 医学 Q3 MATHEMATICAL & COMPUTATIONAL BIOLOGY Journal of Computational Neuroscience Pub Date : 2022-02-01 Epub Date: 2021-09-16 DOI:10.1007/s10827-021-00796-3
Huilan Yang, Hongbin Wang, Lei Guo, Guizhi Xu
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引用次数: 5

Abstract

Transcranial magnetic stimulation (TMS) is an effective method to treat neurophysiological disorders by modulating the electrical activities of neurons. Neurons can exhibit complex nonlinear behaviors underlying the external stimuli. Currently, we do not know how stimulation interacts with endogenous neural activity. In this paper, the effects of magnetic field on spiking neuron, bursting neuron and bistable neuron are studied based on the Hodgkin-Huxley (HH) neuron model. The results show that the neurons in three different states can exhibit different dynamic responses under magnetic field stimulation. The magnetic field stimulation could increase or decrease the firing frequencies of spiking neuron, bursting neuron and bistable neuron. The transitions between different firing patterns of neurons can be promoted by changing the parameters of the magnetic field. Magnetic field stimulation has a minimal impact on the firing temporal sequence sequences in bursting neuron than that in spiking neuron and bistable neuron. These results provided an insight into the impact of neuronal states on neuronal dynamic responses under brain stimulation and show that subtle changes in external conditions and stimuli can cause complex neuronal responses. This study can help us understand the state-dependent coding mechanism of neurons under electromagnetic stimulation.

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磁场刺激下不同状态神经元的动态响应。
经颅磁刺激(TMS)是一种通过调节神经元电活动来治疗神经生理障碍的有效方法。神经元可以在外部刺激下表现出复杂的非线性行为。目前,我们不知道刺激是如何与内源性神经活动相互作用的。本文基于霍奇金-赫胥黎(HH)神经元模型,研究了磁场对脉冲神经元、爆发神经元和双稳神经元的影响。结果表明,三种不同状态下的神经元在磁场刺激下表现出不同的动态响应。磁场刺激可增加或降低尖峰神经元、破裂神经元和双稳神经元的放电频率。通过改变磁场的参数,可以促进神经元不同放电模式之间的转换。磁场刺激对爆发神经元放电时间序列的影响小于对尖峰神经元和双稳神经元放电时间序列的影响。这些结果揭示了脑刺激下神经元状态对神经元动态反应的影响,表明外部条件和刺激的细微变化可以引起复杂的神经元反应。本研究有助于我们了解电磁刺激下神经元的状态依赖性编码机制。
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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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