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评估短时间经颅随机噪声刺激对皮质兴奋性的后效。

Evaluating aftereffects of short-duration transcranial random noise stimulation on cortical excitability.

机构信息

Department of Clinical Neurophysiology, Georg-August University, Robert Koch Stra β e 40, 37075 Göttingen, Germany.

出版信息

Neural Plast. 2011;2011:105927. doi: 10.1155/2011/105927. Epub 2011 Jul 26.

DOI:10.1155/2011/105927
PMID:21808744
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3144676/
Abstract

A 10-minute application of highfrequency (100-640 Hz) transcranial random noise stimulation (tRNS) over the primary motor cortex (M1) increases baseline levels of cortical excitability, lasting around 1 hr poststimulation Terney et al. (2008). We have extended previous work demonstrating this effect by decreasing the stimulation duration to 4, 5, and 6 minutes to assess whether a shorter duration of tRNS can also induce a change in cortical excitability. Single-pulse monophasic transcranial magnetic stimulation (TMS) was used to measure baseline levels of cortical excitability before and after tRNS. A 5- and 6-minute tRNS application induced a significant facilitation. 4-minute tRNS produced no significant aftereffects on corticospinal excitability. Plastic after effects after tRNS on corticospinal excitability require a minimal stimulation duration of 5 minutes. However, the duration of the aftereffect of 5-min tRNS is very short compared to previous studies using tRNS. Developing different transcranial stimulation techniques may be fundamental in understanding how excitatory and inhibitory networks in the human brain can be modulated and how each technique can be optimised for a controlled and effective application.

摘要

高频(100-640Hz)经颅随机噪声刺激(tRNS)在初级运动皮层(M1)上的 10 分钟应用增加了皮质兴奋性的基线水平,持续约 1 小时刺激后Terney 等人。(2008 年)。我们通过将刺激持续时间缩短至 4、5 和 6 分钟来扩展了先前证明这种效果的工作,以评估较短的 tRNS 持续时间是否也可以引起皮质兴奋性的变化。单脉冲单相经颅磁刺激(TMS)用于测量 tRNS 前后皮质兴奋性的基线水平。5 分钟和 6 分钟的 tRNS 应用诱导了明显的易化。4 分钟的 tRNS 对皮质脊髓兴奋性没有产生明显的后效。tRNS 对皮质脊髓兴奋性的塑性后效需要至少 5 分钟的刺激持续时间。然而,与以前使用 tRNS 的研究相比,5 分钟 tRNS 的后效持续时间非常短。开发不同的经颅刺激技术可能是理解如何调节人类大脑中的兴奋性和抑制性网络以及如何为受控和有效的应用优化每种技术的关键。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e487/3144676/825a4ec21004/NP2011-105927.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e487/3144676/83e76b391189/NP2011-105927.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e487/3144676/bc56e2236ccc/NP2011-105927.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e487/3144676/825a4ec21004/NP2011-105927.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e487/3144676/83e76b391189/NP2011-105927.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e487/3144676/bc56e2236ccc/NP2011-105927.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e487/3144676/825a4ec21004/NP2011-105927.003.jpg

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