| 经颅磁声电刺激感应电场聚焦度评价方法 |
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| 引用本文： | 张帅,周振宇,刘亚泽,赵明康,张航,徐桂芝.经颅磁声电刺激感应电场聚焦度评价方法[J].北京理工大学学报,2019,39(S1):97-101. |
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| 作者姓名： | 张帅 周振宇 刘亚泽 赵明康 张航 徐桂芝 |
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| 作者单位： | 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;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,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;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,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;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,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;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,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;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,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;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 |
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| 基金项目： | 国家自然科学基金重点资助项目（51737003）；国家自然科学基金资助项目（51877069）；河北省科学研究计划资助项目（E2015202292，E2015202050、E2017202190）；河北省高校科研资项目（ZD2017020）；河北省高层次人才资助项（C2015005012） |
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| 摘 要： | 经颅磁声电刺激（transcranial magneto-acousto-electrical stimulation，TMAES）通过超声波和静磁场共同作用产生感应电场以调节相应脑区神经元的放电活动，感应电场的聚焦性能是决定调控精度的关键因素.探索了感应电场聚焦度评价方法，包括建立模型、仿真分析、评价指标的选取和电场聚焦度分析.确定了刺激深度、刺激强度、聚焦面积、焦域长度以及电场强度梯度系数作为感应电场的评价指标，用来衡量电场聚焦水平.结果表明TMAES具有良好的刺激深度以及较高的分辨率，通过以上指标可以准确描述感应电场的分布特征，建立的评价方法可以实现对TMAES感应电场聚焦性能的有效评价.
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| 关 键 词： | 经颅磁声电刺激 聚焦度评价 感应电场分布 电场仿真 |
| 收稿时间： | 2018/10/20 0:00:00 |
The Evaluation Method of Degree of Electric Field Focalization Induced by Transcranial Magnetic-Acoustical-Electrical Stimulation |
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| ZHANG Shuai,ZHOU Zhen-yu,LIU Ya-ze,ZHAO Ming-kang,ZHANG Hang and XU Gui-zhi.The Evaluation Method of Degree of Electric Field Focalization Induced by Transcranial Magnetic-Acoustical-Electrical Stimulation[J].Journal of Beijing Institute of Technology(Natural Science Edition),2019,39(S1):97-101. |
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| Authors: | ZHANG Shuai ZHOU Zhen-yu LIU Ya-ze ZHAO Ming-kang ZHANG Hang and XU Gui-zhi |
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| Institution: | State Key Laboratory of Reliability and Intelligence of Electrical Equipment, Hebei University of Technology, Tianjin, 300130, China;Key Laboratory of Electromagnetic Field and Electrical Apparatus Reliability of Hebei Province, Hebei University of Technology, Tianjin, 300130, China,State Key Laboratory of Reliability and Intelligence of Electrical Equipment, Hebei University of Technology, Tianjin, 300130, China;Key Laboratory of Electromagnetic Field and Electrical Apparatus Reliability of Hebei Province, Hebei University of Technology, Tianjin, 300130, China,State Key Laboratory of Reliability and Intelligence of Electrical Equipment, Hebei University of Technology, Tianjin, 300130, China;Key Laboratory of Electromagnetic Field and Electrical Apparatus Reliability of Hebei Province, Hebei University of Technology, Tianjin, 300130, China,State Key Laboratory of Reliability and Intelligence of Electrical Equipment, Hebei University of Technology, Tianjin, 300130, China;Key Laboratory of Electromagnetic Field and Electrical Apparatus Reliability of Hebei Province, Hebei University of Technology, Tianjin, 300130, China,State Key Laboratory of Reliability and Intelligence of Electrical Equipment, Hebei University of Technology, Tianjin, 300130, China;Key Laboratory of Electromagnetic Field and Electrical Apparatus Reliability of Hebei Province, Hebei University of Technology, Tianjin, 300130, China and State Key Laboratory of Reliability and Intelligence of Electrical Equipment, Hebei University of Technology, Tianjin, 300130, China;Key Laboratory of Electromagnetic Field and Electrical Apparatus Reliability of Hebei Province, Hebei University of Technology, Tianjin, 300130, China |
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| Abstract: | Transcranial magnetic-acoustical-electrical stimulation (TMAES) can modulate the firing activity of neurons in the corresponding regions of brain by electric field induced by the combined effect of ultrasound and static magnetic field, and the focusing performance of the induced electric field is a key factor in determining the regulation accuracy. In this paper, we explored the evaluation method of focusing degree of induced electric field by performing modeling, simulation analysis, selection of evaluation index and analysis of electric field focalization. We chose five indicators to measure the level of electric field focalization:depth and intensity of stimulation, focusing area, length of focal region and gradient coefficient of electric field intensity. The results showed that TMAES had good efficacy in stimulating the brain and possessed a high resolution. And the above indicators can accurately describe the distribution characteristics of the induced electric field, and the evaluation method we established can effectively evaluate the focusing performance of TMAES induced electric field. |
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| Keywords: | transcranial magnetic-acoustical-electrical stimulation focalization evaluation induced electric field distribution electric field simulation |
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