电工技术学报  2021, Vol. 36 Issue (18): 3851-3859    DOI: 10.19595/j.cnki.1000-6753.tces.L90426
生物电工技术及应用专题(特约主编:张冠军 特约副主编:徐桂芝 姚陈果 刘定新 教授) |
基于皮层神经元模型的经颅磁声电刺激神经网络放电活动仿真分析
张帅1,2, 许家悦1,2, 李梦迪1,2, 赵明康1,2, 徐桂芝1,2
1.省部共建电工装备可靠性与智能化国家重点实验室(河北工业大学) 天津 300130;
2.河北工业大学天津市生物电工与智能健康重点实验室 天津 300130
Simulation of the Discharge Activity of Neural Network under Transcranial Magneto-Acousto-Electrical Stimulation Based on Cortical Neuron Model
Zhang Shuai1,2, Xu Jiayue1,2, Li Mengdi1,2, Zhao Mingkang1,2, Xu Guizhi1,2
1. State Key Laboratory of Reliability and Intelligence of Electrical Equipment Hebei University of Technology Tianjin 300130 China;
2. Tianjin Key Laboratory of Bioelectromagnetic Technology and Intelligent Health Hebei University of Technology Tianjin 300130 China
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摘要 基于脑皮层真实神经元模型搭建皮层神经网络,对模型在经颅磁声电刺激下的电活动响应特性进行仿真分析。采用短时傅里叶变换方法对不同刺激方式和经颅磁声电刺激不同刺激参数下神经元局部场电位信号进行时频联合分析。结果显示,经颅磁声电刺激方式可达到与神经元自身突触激活和阶跃电流刺激方式相近的刺激效果;神经元不同位置在经颅磁声电刺激下的电活动响应有所区别,胞体附近膜电压变化最为明显,且局部场电位能量强度最大;随着调制频率和刺激电流两个参数的增大,神经网络的局部场电位信号能量强度均呈现先增强后减弱的趋势。这表明经颅磁声电刺激可对神经电活动产生促进与抑制两种效果,改变刺激参数可以实现对生物体神经活动的调节。研究结果有助于揭示经颅磁声电刺激的神经作用机制,为其应用于神经调节和神经系统疾病治疗提供理论依据和参考。
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关键词 经颅磁声电刺激神经网络局部场电位计算模型    
Abstract:The cortical neural network was built based on the real neuron model of the cerebral cortex, and the electrical response characteristics of the model under transcranial Magneto- acousto-electrical stimulation (TMAES) were simulated and analyzed. The short-time Fourier transform method was used to conduct the time-frequency joint analysis of neuronal local field potentials (LFPs) signals under different stimulation methods and different TMAES stimulation parameters. The results show that the TMAES method can achieve a stimulating effect similar to the neuron's own synaptic activation and step current stimulation. The electrical activity response of the neurons at different locations under TMAES is different, that is, the membrane voltage near the cell body changes more obviously, and the LFPs energy intensity is the largest. With the increase of modulation frequency and stimulation current, the energy intensity of the LFPs signal in the neural network first increases and subsequently decreases. It is indicated that TMAES can promote and inhibit the neural electrical activity, changing the stimulation parameters can realize the regulation of biological neural activity. The results help to reveal the neural mechanism of TMAES, and provide references for its application in neuromodulation and neurological disease treatment.
Key wordsTranscranial magneto-acousto-electrical stimulation (TMAES)    neural network    local field potentials (LFPs)    computational model   
收稿日期: 2020-07-11     
PACS: TM12  
基金资助:国家自然科学基金资助项目(51877069)
通讯作者: 张 帅 男,1978年生,博士,教授,研究方向为生物电磁技术。E-mail: zs@hebut.edu.cn   
作者简介: 许家悦 女,1996年生,硕士研究生,研究方向为生物电磁技术。E-mail: 15122195701@163.com
引用本文:   
张帅, 许家悦, 李梦迪, 赵明康, 徐桂芝. 基于皮层神经元模型的经颅磁声电刺激神经网络放电活动仿真分析[J]. 电工技术学报, 2021, 36(18): 3851-3859. Zhang Shuai, Xu Jiayue, Li Mengdi, Zhao Mingkang, Xu Guizhi. Simulation of the Discharge Activity of Neural Network under Transcranial Magneto-Acousto-Electrical Stimulation Based on Cortical Neuron Model. Transactions of China Electrotechnical Society, 2021, 36(18): 3851-3859.
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