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

doi:10.19595/j.cnki.1000-6753.tces.L90426

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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 words： Transcranial magneto-acousto-electrical stimulation (TMAES) neural network local field potentials (LFPs) computational model

Received: 11 July 2020

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	Zhang Shuai
	Xu Jiayue
	Li Mengdi
	Zhao Mingkang
	Xu Guizhi

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Zhang Shuai,Xu Jiayue,Li Mengdi等. Simulation of the Discharge Activity of Neural Network under Transcranial Magneto-Acousto-Electrical Stimulation Based on Cortical Neuron Model[J]. Transactions of China Electrotechnical Society, 2021, 36(18): 3851-3859.

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https://dgjsxb.ces-transaction.com/EN/10.19595/j.cnki.1000-6753.tces.L90426 OR https://dgjsxb.ces-transaction.com/EN/Y2021/V36/I18/3851

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