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电前庭刺激的噪声潜力可优化和辅助人体表现。

The potential of noisy galvanic vestibular stimulation for optimizing and assisting human performance.

机构信息

Menrva Research Group, Schools of Mechatronic Systems Engineering and Engineering Science, Simon Fraser University, Metro Vancouver, BC, Canada.

Sensorimotor Neuroscience Lab, Department of Biomedical Physiology and Kinesiology, Simon Fraser University, Burnaby, BC, Canada.

出版信息

Neuropsychologia. 2021 Feb 12;152:107751. doi: 10.1016/j.neuropsychologia.2021.107751. Epub 2021 Jan 9.

DOI:10.1016/j.neuropsychologia.2021.107751
PMID:33434573
Abstract

Noisy galvanic vestibular stimulation (nGVS) is an emerging non-invasive brain stimulation technique. It involves applying alternating currents of different frequencies and amplitudes presented in a random, or noisy, manner through electrodes on the mastoid bones behind the ears. Because it directly activates vestibular hair cells and afferents and has an indirect effect on a variety of brain regions, it has the potential to impact many different functions. The objective of this review is twofold: (1) to review how nGVS affects motor, sensory, and cognitive performance in healthy adults; and (2) to discuss potential clinical applications of nGVS. First, we introduce the technique. We then describe the regions receiving and processing vestibular information. Next, we discuss the effects of nGVS on motor, sensory, and cognitive function in healthy adults. Subsequently, we outline its potential clinical applications. Finally, we highlight other electrical stimulation technologies and discuss why nGVS offers an alternative or complementary approach. Overall, nGVS appears promising for optimizing human performance and as an assistive technology, though further research is required.

摘要

嘈杂电前庭刺激(nGVS)是一种新兴的非侵入性脑刺激技术。它涉及通过耳朵后面的乳突骨上的电极以随机(嘈杂)的方式施加不同频率和幅度的交流电。因为它直接激活前庭毛细胞和传入神经,并且对各种大脑区域有间接影响,所以它有可能影响许多不同的功能。本综述的目的有两个:(1)综述 nGVS 如何影响健康成年人的运动、感觉和认知表现;(2)讨论 nGVS 的潜在临床应用。首先,我们介绍该技术。然后,我们描述接收和处理前庭信息的区域。接下来,我们讨论 nGVS 对健康成年人运动、感觉和认知功能的影响。随后,我们概述了其潜在的临床应用。最后,我们强调了其他电刺激技术,并讨论了为什么 nGVS 提供了一种替代或补充方法。总的来说,nGVS 似乎有希望优化人类表现并作为辅助技术,但需要进一步的研究。

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引用本文的文献

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Optimizing noisy galvanic vestibular stimulation (nGVS) for postural control: methodological considerations when individualizing the signal for people with bilateral vestibulopathy.优化用于姿势控制的噪声性电前庭刺激(nGVS):为双侧前庭病患者个性化信号时的方法学考量
Front Neurol. 2025 Jun 20;16:1609123. doi: 10.3389/fneur.2025.1609123. eCollection 2025.
2
Galvanic vestibular stimulation for postural rehabilitation in neurological disorders: a systematic review.用于神经系统疾病姿势康复的电刺激前庭刺激:一项系统评价
Front Neurosci. 2025 Apr 16;19:1580078. doi: 10.3389/fnins.2025.1580078. eCollection 2025.
3
A review of parameter settings for galvanic vestibular stimulation in clinical applications.
临床应用中直流电前庭刺激参数设置综述。
Front Hum Neurosci. 2025 Feb 3;19:1518727. doi: 10.3389/fnhum.2025.1518727. eCollection 2025.
4
Noisy galvanic vestibular stimulation induces stochastic resonance in vestibular perceptual thresholds assessed efficiently using confidence reports.使用置信度报告有效评估时,噪声性电前庭刺激会在前庭感知阈值中诱发随机共振。
Exp Brain Res. 2024 Dec 24;243(1):34. doi: 10.1007/s00221-024-06984-8.
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No enhancement of vestibular stimulation on visual working memory for actions.前庭刺激对动作视觉工作记忆无增强作用。
Sci Rep. 2024 Nov 26;14(1):29351. doi: 10.1038/s41598-024-80678-7.
6
Exploring the Potentials of Wearable Technologies in Managing Vestibular Hypofunction.探索可穿戴技术在管理前庭功能减退方面的潜力。
Bioengineering (Basel). 2024 Jun 24;11(7):641. doi: 10.3390/bioengineering11070641.
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Electrical stimulation of the peripheral and central vestibular system.外周和中枢前庭系统的电刺激。
Curr Opin Neurol. 2024 Feb 1;37(1):40-51. doi: 10.1097/WCO.0000000000001228. Epub 2023 Oct 25.
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Training augmentation using additive sensory noise in a lunar rover navigation task.在月球车导航任务中使用加性传感噪声进行训练增强。
Front Neurosci. 2023 Jun 23;17:1180314. doi: 10.3389/fnins.2023.1180314. eCollection 2023.
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Scoping out noisy galvanic vestibular stimulation: a review of the parameters used to improve postural control.探究嘈杂的前庭电刺激:用于改善姿势控制的参数综述。
Front Neurosci. 2023 May 2;17:1156796. doi: 10.3389/fnins.2023.1156796. eCollection 2023.
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Front Neural Circuits. 2023 Feb 9;16:1065647. doi: 10.3389/fncir.2022.1065647. eCollection 2022.