追踪经颅磁刺激诱发的脑反应的因果通路。

IF 3.6 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS
PLoS Computational Biology Pub Date : 2025-07-28 eCollection Date: 2025-07-01 DOI:10.1371/journal.pcbi.1013316
Jinming Xiao, Qing Yin, Lei Li, Yao Meng, Xiaobo Liu, Wanrou Hu, Xinyue Huang, Yu Feng, Xiaolong Shan, Weixing Zhao, Peng Wang, Xiaotian Wang, Youyi Li, Huafu Chen, Xujun Duan
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引用次数: 0

摘要

探索皮层活动的局部扰动如何在大脑网络中传播,不仅有助于我们理解大脑网络的因果机制,而且还为经颅磁刺激(TMS)治疗反应的神经生物学机制提供了网络洞察力。TMS和脑电图(EEG)的同时结合使研究人员能够追踪TMS诱发的活动,这里定义为反映大脑对TMS反应的头皮记录电信号,具有毫秒级的时间分辨率。在此基础上,我们提出了一种结合稀疏非负矩阵分解和阶段依赖的有效连接方法的定量框架来推断tms诱发的脑反应的因果通路。我们发现单脉冲TMS首先在直接刺激的区域(左初级运动皮层,M1)诱导局部活动,然后传播到对侧半球和其他大脑区域。最后,它从对侧区域(右M1)传播回刺激区域(左M1)。本研究提供了初步证据,证明局部扰动如何通过大脑网络传播,影响不同的皮层区域,并从网络的角度深入了解tms诱发的大脑反应的神经机制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Tracking causal pathways in TMS-evoked brain responses.

Exploring how local perturbations of cortical activity propagate across the brain network not only helps us understanding causal mechanisms of brain networks, but also offers a network insight into neurobiological mechanisms for transcranial magnetic stimulation (TMS) treatment response. The concurrent combination of TMS and electroencephalography (EEG) enables researchers to track the TMS-evoked activity, defined here as scalp-recorded electrical signals reflecting the brain's response to TMS, with millisecond-level temporal resolution. Based on this technique, we proposed a quantitative framework which combined sparse non-negative matrix factorization and stage-dependent effective connectivity methods to infer the causal pathways in TMS-evoked brain responses. We found that single-pulse TMS firstly induces local activity in the directly stimulated regions (left primary motor cortex, M1), and then propagates to the contralateral hemisphere and other brain regions. Finally, it propagates back from the contralateral region (right M1) to the stimulation region (left M1). This study provides preliminary evidence demonstrating how local perturbations propagate through brain networks to influence various cortical regions, and offers insights into the neural mechanism of TMS-evoked brain responses from a network perspective.

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来源期刊
PLoS Computational Biology
PLoS Computational Biology BIOCHEMICAL RESEARCH METHODS-MATHEMATICAL & COMPUTATIONAL BIOLOGY
CiteScore
7.10
自引率
4.70%
发文量
820
审稿时长
2.5 months
期刊介绍: PLOS Computational Biology features works of exceptional significance that further our understanding of living systems at all scales—from molecules and cells, to patient populations and ecosystems—through the application of computational methods. Readers include life and computational scientists, who can take the important findings presented here to the next level of discovery. Research articles must be declared as belonging to a relevant section. More information about the sections can be found in the submission guidelines. Research articles should model aspects of biological systems, demonstrate both methodological and scientific novelty, and provide profound new biological insights. Generally, reliability and significance of biological discovery through computation should be validated and enriched by experimental studies. Inclusion of experimental validation is not required for publication, but should be referenced where possible. Inclusion of experimental validation of a modest biological discovery through computation does not render a manuscript suitable for PLOS Computational Biology. Research articles specifically designated as Methods papers should describe outstanding methods of exceptional importance that have been shown, or have the promise to provide new biological insights. The method must already be widely adopted, or have the promise of wide adoption by a broad community of users. Enhancements to existing published methods will only be considered if those enhancements bring exceptional new capabilities.
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