基于真实头模型的经颅磁声电刺激感应电流密度仿真分析

doi:10.16180/j.cnki.issn1007-7820.2021.06.003

电子科技 ›› 2021, Vol. 34 ›› Issue (6): 17-22.doi: 10.16180/j.cnki.issn1007-7820.2021.06.003

基于真实头模型的经颅磁声电刺激感应电流密度仿真分析

刘亚泽^1,²,张帅^1,²,郭梁^1,²,陈昕彤^1,²,武健康^1,²

1.河北工业大学省部共建电工装备可靠性与智能化国家重点实验室,天津 300130
2.河北工业大学河北省电磁场与电器可靠性重点实验室,天津 300130

收稿日期:2020-02-20 出版日期:2021-06-15 发布日期:2021-06-01
作者简介:刘亚泽(1994-),男,硕士研究生。研究方向:生物电工。|张帅(1978-),男,博士,教授。研究方向:生物电工。
基金资助:
国家自然科学基金(51877069)

Simulation Analysis of Induced Current Density of Transcranial Magnetic-Acoustical Electrical Stimulation Based on Realistic Human Head Model

LIU Yaze^1,²,ZHANG Shuai^1,²,GUO Liang^1,²,CHEN Xintong^1,²,WU Jiankang^1,²

1. State Key Laboratory of Reliability and Intelligence of Electrical Equipment,Hebei University of Technology,Tianjin 300130, China
2. Key Laboratory of Electromagnetic Field and Electrical Apparatus Reliability of Hebei Province,Hebei University of Technology,Tianjin 300130,China

Received:2020-02-20 Online:2021-06-15 Published:2021-06-01
Supported by:
National Natural Science Foundation of China(51877069)

摘要/Abstract

摘要：

感应电流密度的聚焦性是实现精准神经调控的关键,其中头颅结构对于经颅磁声电刺激的感应电流密度分布具有重要影响。文中利用人体头部的CT图像,使用三维重构技术构建了真实头模型;对真实头模型进行经颅磁声电刺激的有限元仿真分析,获得了真实头模型内部的感应电流密度分布,并对仿真结果进行了评估。为了进一步探寻刺激效果和超声频率之间的关系,文中分别使用300 kHz、400 kHz、500 kHz的超声波对真实头模型施加经颅磁声电刺激。仿真结果显示,超声信号频率的增加会导致刺激强度、刺激长度以及聚焦面积的增加。该结果表明经颅磁声电刺激具有良好的深度刺激特性和聚焦特性,有望对深处脑区神经元进行无创调控。

关键词: 经颅磁声电刺激, 真实头模型, 有限元方法, 磁声耦合, 感应电流, 聚焦性, 超声, 三维重构

Abstract:

The focusing characteristics of the induced current density is the key to precise neural regulation. The structure of the skull has an important influence on the induced current density distribution of TMAES. Therefore, a realistic human head model based on the CT data of the human head is established using the 3D calculating method. The finite element method is used to simulate the model during TMAES. The distribution of induced current density is obtained and subsequently evaluated. In order to further explore the relationship between the stimulus effect and the ultrasound frequency, ultrasonic waves with frequencies of 300 kHz, 400 kHz and 500 kHz are applied on the realistic human head model during TMAES. The results show that the increase of the frequency of the ultrasonic signal can increase the stimulation intensity, the stimulation length and the focus area. These results indicate that TMAES has good depth stimulation and focusing characteristics, and has the potential to noninvasively modulate neurons deep in the brain.

Key words: TMAES, realistic human head model, finite element method, magneto-acoustic coupling, induced current, focusing characteristics, ultrasound, 3D reconstruction

中图分类号:

TP391.9

刘亚泽,张帅,郭梁,陈昕彤,武健康. 基于真实头模型的经颅磁声电刺激感应电流密度仿真分析[J]. 电子科技, 2021, 34(6): 17-22.

LIU Yaze,ZHANG Shuai,GUO Liang,CHEN Xintong,WU Jiankang. Simulation Analysis of Induced Current Density of Transcranial Magnetic-Acoustical Electrical Stimulation Based on Realistic Human Head Model[J]. Electronic Science and Technology, 2021, 34(6): 17-22.

图/表 10

图1

图2

图3

图4

表1

图5

图6

图7

图8

表2

参考文献 17

[1]	伊国胜, 王江, 魏熙乐, 等. 无创式脑调制的神经效应研究进展[J]. 科学通报, 2016,61(8):819-834.
	Yin Guosheng, Wang Jiang, Wei Xile, et al. Developments of neural effects induced by noninvasive brain modulation[J]. Chinese Science Bulletin, 2016,61(8):819-834.
[2]	黎国峰, 邱维宝, 钱明, 等. 超声神经调控技术与科学仪器[J]. 生命科学仪器, 2017,15(1):3-8.
	Li Guofeng, Qiu Weibao, Qian Ming, et al. Ultrasonic neuromodulation technology and scientific equipment[J]. Life Science Instruments, 2017,15(1):3-8.
[3]	李念慈, 甘甜, 郑燕, 等. 经颅直流电刺激在社会认知神经科学中的应用[J]. 中国临床心理学杂志, 2020(1):114-118.
	Li Nianci, Gan Tian, Zheng Yan, et al. The application of transcranial Direct Current Stimulation(tDCS) in social cognitive neuroscience[J]. Chinese Journal of Clinical Psychology, 2020(1):114-118.
[4]	Lefaucheur J P, André-Obadia N, Antal A, et al. Evidence-based guidelines on the therapeutic use of repetitive Transcranial Magnetic Stimulation (rTMS)[J]. Clinical Neurophysiology, 2014,125(11):2150-2206. doi: 10.1016/j.clinph.2014.05.021
[5]	Rezayat E, Toostani I G. A review on brain stimulation using low intensity focused ultrasound[J]. Basic & Clinical Neuroscience, 2016,7(3):187-194.
[6]	康维新, 巩雪, 刘玉梅, 等. 基于预失真编码激励与最小方差波束形成的超声成像算法[J]. 电子科技, 2019,32(1):67-71.
	Kang Weixin, Gong Xue, Liu Yumei, et al. Ultrasound imaging based on predistortion coded excitation and minimum variance beamforming[J]. Electronic Science and Technology, 2019,32(1):67-71.
[7]	袁进, 秦云. 基于空间平滑的超声自适应波束形成算法实现[J]. 电子科技, 2018,31(12):18-21,77.
	Yuan Jin, Qin Yun. The realization of ultrasonic adaptive beamforming algorithm based on spatial smoothing[J]. Electronic Science and Technology, 2018,31(12):18-21,77.
[8]	李莹萱, 林华. 经颅聚焦超声刺激的临床研究与应用现状[J]. 实用医学杂志, 2018,34(24):4019-4021.
	Li Yingxuan, Lin Hua. Research progress and application in transcranial focused ultrasound stimulation[J]. The Journal of Practical Medicine, 2018,34(24):4019-4021.
[9]	张帅, 崔琨, 史勋, 等. 经颅磁声电刺激参数对神经元放电模式的影响分析[J]. 电工技术学报, 2019,34(18):3741-3749.
	Zhang Shuai, Cui Kun, Shi Xun, et al. Effect analysis of transcranial magneto-acousto-electrical stimulation parameters on neural firing patterns[J]. Transactions of China Electrotechnical Society, 2019,34(18):3741-3749.
[10]	王会琴, 周晓青, 刘世坤, 等. 经颅磁声刺激与经颅超声刺激诱发肌电运动阈值的对比研究[J]. 医疗卫生装备, 2019,40(1):14-19.
	Wang Huiqin, Zhou Xiaoqing, Liu Shikun, et al. Comparative study of transcranial magnetic stimulation and transcranial ultrasound stimulation on induced EMG motion threshold[J]. Chinese Medical Equipment Journal, 2019,40(1):14-19.
[11]	Norton S J. Can ultrasound be used to stimulate nerve tissue?[J]. Biomedical Engineering on Line, 2003,2(1):6-14.
[12]	杨少华, 刘军, 张虹淼, 等. 一种基于磁声电相互耦合的神经电流检测方法[J]. 仪器仪表学报, 2005,26(8):31-32.
	Yang Shaohua, Liu Jun, Zhang Hongmiao, et al. A method of coupling of magnetics, acoustics and electrics for the measurement of neural currents[J]. Chinese Journal of Scientific Instrument, 2005,26(8):31-32.
[13]	李慧雨, 周晓青, 张顺起, 等. 基于磁声耦合效应的聚焦电刺激方法的初探[J]. 生物医学工程研究, 2015,34(4):201-206.
	Li Huiyu, Zhou Xiaoqing, Zhang Shunqi, et al. Approach for focused electric stimulation based on the magneto-acoustic effect[J]. Journal of Biomedical Engineering Research, 2015,34(4):201-206.
[14]	Yuan Y, Chen Y D, Li X L. Theoretical analysis of transcranial magneto-acoustical stimulation with Hodgkin-Huxley neuron model[J]. Front Comput Neurosci, 2016(10):35-39.
[15]	袁毅, 庞娜, 陈玉东, 等. 经颅磁声刺激作用下神经元放电频率适应性的研究[J]. 生物医学工程学杂志, 2017,34(6):934-941.
	Yuan Yi, Pang Na, Chen Yudong, et al. Study of neuronal spike-frequency adaptation with transcranial magneto-acoustical stimulation[J]. Journal of Biomedical Engineering, 2017,34(6):934-941.
[16]	Zhang S, Cui K, Zhang X, et al. Effect of transcranial ultrasonic-magnetic stimulation on two types of neural firing behaviors in modified izhikevich model[J]. IEEE Transactions on Magnetics, 2018,39(9):1-4.
[17]	Tufail Y, Matyushov A, Baldwin N, et al. Transcranial pulsed ultrasound stimulates intact brain circuits[J]. Neuron, 2010,66(5):681-694. doi: 10.1016/j.neuron.2010.05.008 pmid: 20547127

参数	头皮	颅骨	大脑
密度ρ/kg·m^-3	1 060	1 220	1 050
电导率σ/S·m^-1	0.31	0.02	0.30
声速c₀/m·s^-1	1 585	4 080	1 541
平均衰减系数/dB·(cm·MHz)^-1	1.30	20.00	0.85

参数		数值
频率f/kHz	300	400	500
刺激强度J_p/mA·mm^-2	0.29	0.30	0.32
刺激长度l/mm	22.50	23.00	23.20
刺激区域横截面积S/mm²	14.50	19.60	26.40

基于真实头模型的经颅磁声电刺激感应电流密度仿真分析

Simulation Analysis of Induced Current Density of Transcranial Magnetic-Acoustical Electrical Stimulation Based on Realistic Human Head Model

RichHTML

PDF (PC)

赞

可视化

摘要/Abstract

引用本文

使用本文

图/表 10

参考文献 17

相关文章 15

Metrics

本文评价

推荐阅读 0

[1]	翟岳仙,刘翔,宋家琳. 基于迁移学习策略的肝纤维化分期诊断方法[J]. 电子科技, 2021, 34(6): 11-16.
[2]	姜银方,胡华健,郭永强,吴搏. 超磁致伸缩传感器背衬层参数优化的实验研究[J]. 电子科技, 2021, 34(2): 68-73.
[3]	伞红军, 李鹏宇, 陈久朋, 胡琼琼, 李奇, 张凯翔, 王晨. 一种对中定位机构的设计及其优化分析[J]. 电子科技, 2021, 34(1): 10-16.
[4]	杜晗,许桢英. 超声导波焊缝检测中阵列式传感器的信号融合方式研究[J]. 电子科技, 2020, 33(7): 32-36.
[5]	王伟,解旭彤,胡宽,王雯. 高空核电磁脉冲照射下车辆表面感应电流研究[J]. 电子科技, 2020, 33(1): 19-22.
[6]	姜银方,刘兵,雷玉兰,陈波,郭永强,胡华健. 超磁致伸缩换能器的数值模拟及试验研究[J]. 电子科技, 2019, 32(9): 37-41.
[7]	宋寿鹏,申静静,卢翠娥. 可视化与非可视化特征融合超声3D目标识别研究[J]. 电子科技, 2019, 32(5): 5-6.
[8]	刘陈仁浪,李培真,陈龙,安琪. 二硫化钼纳米薄片分散液的剥离制备[J]. 电子科技, 2019, 32(4): 64-67.
[9]	伏广霞,刘翔,宋家琳,赵静文. 一种基于高频超声图像的肝包膜提取算法研究[J]. 电子科技, 2019, 32(11): 33-37.
[10]	卓晓冬. 电气设备绝缘系统局部放电检测技术研究[J]. 电子科技, 2019, 32(11): 83-86.
[11]	康维新,巩雪,刘玉梅,王红茹. 基于预失真编码激励与最小方差波束形成的超声成像算法[J]. 电子科技, 2019, 32(1): 67-71.
[12]	李虎, 陆忠东. 超声磨削表面三维形貌建模与试验研究[J]. , 2018, 31(3): 56-.
[13]	姜旭恒，郑政，胡胜男. 基于脉冲压缩的高频超声信号实时增强系统[J]. , 2017, 30(9): 8-.
[14]	冯养磊，沈景凤. 基于近似中通道板的结构优化设计[J]. , 2017, 30(9): 149-.
[15]	李默. 压电耦合智能板结构中微损伤识别方法研究[J]. , 2017, 30(4): 5-.