复合动作电位与迷走神经刺激个性化参数调控

袁媛; 郝红伟; 李路明

doi:10.16511/j.cnki.qhdxxb.2017.22.004

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清华大学学报（自然科学版） ›› 2017, Vol. 57 ›› Issue (2) : 134-140. DOI: 10.16511/j.cnki.qhdxxb.2017.22.004

航天航空

复合动作电位与迷走神经刺激个性化参数调控

袁媛¹, 郝红伟¹, 李路明^1,2,3

作者信息 +

Compound action potential and personalized parameter regulation of vagus nerve stimulation

YUAN Yuan¹, HAO Hongwei¹, LI Luming^1,2,3

Author information +

文章历史 +

摘要

迷走神经刺激（VNS）广泛应用于癫痫和抑郁等多种药物难治性疾病的治疗，实现VNS个性化调控对疗法的临床推广具有重要意义。该文提出了以术中复合动作电位（CAP）为评估依据的VNS疗法个性化参数选择方法。搭建了CAP信号采集平台，开展了中华小型猪的活体实验，在恒流刺激模式下分析了电流幅度、脉宽和频率等VNS刺激参数与迷走神经CAP信号的量化关系，明确了VNS疗法临床常用刺激参数的选择依据，进而提出了个性化治疗参数的选择标准及选择范围。实验结果表明：应以CAP信号中A类纤维和B类纤维的不同响应特性为依据，开展VNS治疗癫痫和抑郁的个性化参数调控。该方法为VNS疗效的提高以及闭环VNS疗法的发展奠定了基础。

Abstract

Vagus nerve stimulation (VNS) is widely used to treat various refractory diseases, such as epilepsy and depression. Personalized treatment is very important in these clinical applications. The intraoperative compound action potential (CAP) response of the vagus nerve is analyzed here to evaluate the personalized parameter regulation. A CAP detection system with in vivo experiments with pigs is used to analyze the relationship between the CAP and the VNS parameters, including the current amplitude, pulse width and frequency. The results indicate the selection criteria and the ranges of the stimulation parameters for individual-based treatment. Tests demonstrate that the personalized parameters of the VNS treatment for epilepsy and depression are based on the different response characteristics of the A and B components of the CAP. These results offer a foundation for improving the therapeutic efficacy and for developing closed-loop VNS therapies.

导出引用

袁媛, 郝红伟, 李路明. 复合动作电位与迷走神经刺激个性化参数调控[J]. 清华大学学报（自然科学版）. 2017, 57(2): 134-140 https://doi.org/10.16511/j.cnki.qhdxxb.2017.22.004

YUAN Yuan, HAO Hongwei, LI Luming. Compound action potential and personalized parameter regulation of vagus nerve stimulation[J]. Journal of Tsinghua University(Science and Technology). 2017, 57(2): 134-140 https://doi.org/10.16511/j.cnki.qhdxxb.2017.22.004

中图分类号： R745.1+3

参考文献

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收稿日期	出版日期
2016-04-27	2017-02-15
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2017-02-15

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