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探索状态依赖经颅磁刺激中的运动网络连通性:一项概念验证研究。

Exploring Motor Network Connectivity in State-Dependent Transcranial Magnetic Stimulation: A Proof-of-Concept Study.

作者信息

Marzetti Laura, Basti Alessio, Guidotti Roberto, Baldassarre Antonello, Metsomaa Johanna, Zrenner Christoph, D'Andrea Antea, Makkinayeri Saeed, Pieramico Giulia, Ilmoniemi Risto J, Ziemann Ulf, Romani Gian Luca, Pizzella Vittorio

机构信息

Department of Neuroscience, Imaging and Clinical Sciences, G. d'Annunzio University of Chieti-Pescara, Via dei Vestini 31, 66100 Chieti, Italy.

Institute for Advanced Biomedical Technologies, G. d'Annunzio University of Chieti-Pescara, Via dei Vestini 31, 66100 Chieti, Italy.

出版信息

Biomedicines. 2024 Apr 25;12(5):955. doi: 10.3390/biomedicines12050955.

Abstract

State-dependent non-invasive brain stimulation (NIBS) informed by electroencephalography (EEG) has contributed to the understanding of NIBS inter-subject and inter-session variability. While these approaches focus on local EEG characteristics, it is acknowledged that the brain exhibits an intrinsic long-range dynamic organization in networks. This proof-of-concept study explores whether EEG connectivity of the primary motor cortex (M1) in the pre-stimulation period aligns with the Motor Network (MN) and how the MN state affects responses to the transcranial magnetic stimulation (TMS) of M1. One thousand suprathreshold TMS pulses were delivered to the left M1 in eight subjects at rest, with simultaneous EEG. Motor-evoked potentials (MEPs) were measured from the right hand. The source space functional connectivity of the left M1 to the whole brain was assessed using the imaginary part of the phase locking value at the frequency of the sensorimotor μ-rhythm in a 1 s window before the pulse. Group-level connectivity revealed functional links between the left M1, left supplementary motor area, and right M1. Also, pulses delivered at high MN connectivity states result in a greater MEP amplitude compared to low connectivity states. At the single-subject level, this relation is more highly expressed in subjects that feature an overall high cortico-spinal excitability. In conclusion, this study paves the way for MN connectivity-based NIBS.

摘要

基于脑电图(EEG)的状态依赖性非侵入性脑刺激(NIBS)有助于理解NIBS在个体间和不同疗程之间的变异性。虽然这些方法侧重于局部EEG特征,但人们认识到大脑在网络中呈现出固有的长程动态组织。这项概念验证研究探讨了刺激前初级运动皮层(M1)的EEG连通性是否与运动网络(MN)一致,以及MN状态如何影响对M1的经颅磁刺激(TMS)的反应。在八名处于静息状态的受试者中,向左侧M1施加了1000个阈上TMS脉冲,同时记录EEG。从右手测量运动诱发电位(MEP)。在脉冲前1秒窗口内,使用感觉运动μ节律频率下的锁相值虚部评估左侧M1与全脑的源空间功能连通性。组水平连通性揭示了左侧M1、左侧辅助运动区和右侧M1之间的功能联系。此外,与低连通性状态相比,在高MN连通性状态下传递的脉冲导致更大的MEP振幅。在单受试者水平上,这种关系在具有整体高皮质脊髓兴奋性的受试者中表现得更为明显。总之,这项研究为基于MN连通性的NIBS铺平了道路。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a50d/11118810/e2a05dac2b55/biomedicines-12-00955-g001.jpg

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