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本文引用的文献

1
Multi-objective optimization via evolutionary algorithm (MOVEA) for high-definition transcranial electrical stimulation of the human brain.基于进化算法的多目标优化用于人类大脑高清经颅电刺激(MOVEA)
Neuroimage. 2023 Oct 15;280:120331. doi: 10.1016/j.neuroimage.2023.120331. Epub 2023 Aug 19.
2
Automated optimization of TMS coil placement for personalized functional network engagement.经颅磁刺激线圈位置的个性化功能网络参与的自动优化。
Neuron. 2022 Oct 19;110(20):3263-3277.e4. doi: 10.1016/j.neuron.2022.08.012. Epub 2022 Sep 15.
3
Electric Field Strength From Prefrontal Transcranial Direct Current Stimulation Determines Degree of Working Memory Response: A Potential Application of Reverse-Calculation Modeling?前额叶经颅直流电刺激的电场强度决定工作记忆反应程度:反向计算建模的潜在应用?
Neuromodulation. 2022 Jun;25(4):578-587. doi: 10.1111/ner.13342. Epub 2022 Feb 15.
4
Transcranial direct current stimulation (tDCS) in the management of epilepsy: A systematic review.经颅直流电刺激(tDCS)在癫痫管理中的应用:系统评价。
Seizure. 2021 Mar;86:85-95. doi: 10.1016/j.seizure.2021.01.020. Epub 2021 Feb 5.
5
[Review of cognitive enhancement techniques based on the combination of cognitive training and transcranial direct current stimulation].基于认知训练与经颅直流电刺激相结合的认知增强技术综述
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2020 Oct 25;37(5):903-909. doi: 10.7507/1001-5515.201911079.
6
Transcranial Direct Current Stimulation and Sports Performance.经颅直流电刺激与运动表现
Front Hum Neurosci. 2017 May 10;11:243. doi: 10.3389/fnhum.2017.00243. eCollection 2017.
7
tDCS for the treatment of depression: a comprehensive review.经颅直流电刺激治疗抑郁症:一项综述
Eur Arch Psychiatry Clin Neurosci. 2016 Dec;266(8):681-694. doi: 10.1007/s00406-016-0674-9. Epub 2016 Feb 3.
8
Optimization of multifocal transcranial current stimulation for weighted cortical pattern targeting from realistic modeling of electric fields.基于电场真实建模的加权皮质模式靶向多焦点经颅电流刺激优化
Neuroimage. 2014 Apr 1;89:216-25. doi: 10.1016/j.neuroimage.2013.12.002. Epub 2013 Dec 15.
9
Physiological and modeling evidence for focal transcranial electrical brain stimulation in humans: a basis for high-definition tDCS.用于人类聚焦经颅电刺激的生理学和建模证据:高清晰度 tDCS 的基础。
Neuroimage. 2013 Jul 1;74:266-75. doi: 10.1016/j.neuroimage.2013.01.042. Epub 2013 Jan 28.
10
Transcranial direct current stimulation (tDCS) enhances reconsolidation of long-term memory.经颅直流电刺激(tDCS)增强长期记忆的再巩固。
Brain Stimul. 2013 Jul;6(4):668-74. doi: 10.1016/j.brs.2012.10.007. Epub 2012 Oct 31.

[一种用于经颅电刺激的高效实用电极优化方法]

[An efficient and practical electrode optimization method for transcranial electrical stimulation].

作者信息

Xie Xu, Wang Minmin, Zhang Shaomin

机构信息

College of Biomedical Engineering & Instrument science, Zhejiang University, Hangzhou 310027, P. R. China.

Key Laboratory for Biomedical Engineering of Ministry of Education, Qiushi Academy for Advanced Studies, Zhejiang University, Hangzhou 310027, P. R. China.

出版信息

Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2024 Aug 25;41(4):724-731. doi: 10.7507/1001-5515.202308016.

DOI:10.7507/1001-5515.202308016
PMID:39218598
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11366464/
Abstract

Transcranial electrical stimulation (TES) is a non-invasive neuromodulation technique with great potential. Electrode optimization methods based on simulation models of individual TES field could provide personalized stimulation parameters according to individual variations in head tissue structure, significantly enhancing the stimulation accuracy of TES. However, the existing electrode optimization methods suffer from prolonged computation times (typically exceeding 1 d) and limitations such as disregarding the restricted number of output channels from the stimulator, further impeding their clinical applicability. Hence, this paper proposes an efficient and practical electrode optimization method. The proposed method simultaneously optimizes both the intensity and focality of TES within the target brain area while constraining the number of electrodes used, and it achieves faster computational speed. Compared to commonly used electrode optimization methods, the proposed method significantly reduces computation time by 85.9% while maintaining optimization effectiveness. Moreover, our method considered the number of available channels for the stimulator to distribute the current across multiple electrodes, further improving the tolerability of TES. The electrode optimization method proposed in this paper has the characteristics of high efficiency and easy operation, potentially providing valuable supporting data and references for the implementation of individualized TES.

摘要

经颅电刺激(TES)是一种具有巨大潜力的非侵入性神经调节技术。基于个体TES场模拟模型的电极优化方法可根据头部组织结构的个体差异提供个性化刺激参数,显著提高TES的刺激精度。然而,现有的电极优化方法存在计算时间长(通常超过1天)的问题,并且存在诸如忽视刺激器输出通道数量受限等局限性,进一步阻碍了它们的临床应用。因此,本文提出了一种高效实用的电极优化方法。所提出的方法在限制所用电极数量的同时,对目标脑区内TES的强度和聚焦性进行同步优化,并且实现了更快的计算速度。与常用的电极优化方法相比,所提出的方法在保持优化效果的同时,显著减少了85.9%的计算时间。此外,我们的方法考虑了刺激器的可用通道数量,以便在多个电极之间分配电流,进一步提高了TES的耐受性。本文提出的电极优化方法具有高效且易于操作的特点,有可能为个体化TES的实施提供有价值的支持数据和参考。