Department of Psychiatry and Behavioral Science, Duke University School of Medicine, United States.
Department of Psychology and Neuroscience, Duke University, United States.
Neuroimage. 2020 May 1;211:116596. doi: 10.1016/j.neuroimage.2020.116596. Epub 2020 Jan 31.
The brain is organized into networks that reorganize dynamically in response to cognitive demands and exogenous stimuli. In recent years, repetitive transcranial magnetic stimulation (rTMS) has gained increasing use as a noninvasive means to modulate cortical physiology, with effects both proximal to the stimulation site and in distal areas that are intrinsically connected to the proximal target. In light of these network-level neuromodulatory effects, there has been a rapid growth in studies attempting to leverage information about network connectivity to improve neuromodulatory control and intervention outcomes. However, the mechanisms-of-action of rTMS on network-level effects remain poorly understood and is based primarily on heuristics from proximal stimulation findings. To help bridge this gap, the current paper presents a systematic review of 33 rTMS studies with baseline and post-rTMS measures of fMRI resting-state functional connectivity (RSFC). Literature synthesis revealed variability across studies in stimulation parameters, studied populations, and connectivity analysis methodology. Despite this variability, it is observed that active rTMS induces significant changes on RSFC, but the prevalent low-frequency-inhibition/high-frequency-facilitation heuristic endorsed for proximal rTMS effects does not fully describe distal connectivity findings. This review also points towards other important considerations, including that the majority of rTMS-induced changes were found outside the stimulated functional network, suggesting that rTMS effects tend to spread across networks. Future studies may therefore wish to adopt conventions and systematic frameworks, such as the Yeo functional connectivity parcellation atlas adopted here, to better characterize network-level effect that contribute to the efficacy of these rapidly developing noninvasive interventions.
大脑组织成网络,这些网络会根据认知需求和外源性刺激动态重组。近年来,重复经颅磁刺激(rTMS)作为一种非侵入性手段来调节皮质生理学,在刺激部位附近和与近端目标内在连接的远端区域都产生了效果。鉴于这些网络水平的神经调节效应,越来越多的研究试图利用有关网络连通性的信息来提高神经调节控制和干预的效果。然而,rTMS 对网络水平效应的作用机制仍知之甚少,主要基于近端刺激发现的启发式方法。为了帮助弥合这一差距,本文对 33 项具有 rTMS 基线和 post-rTMS fMRI 静息态功能连通性(RSFC)测量的研究进行了系统综述。文献综合表明,在刺激参数、研究人群和连通性分析方法方面,研究存在变异性。尽管存在这种变异性,但观察到活跃的 rTMS 会导致 RSFC 发生显著变化,但为近端 rTMS 效应所支持的低频抑制/高频促进启发式并不能完全描述远端连通性发现。这篇综述还指出了其他重要的考虑因素,包括 rTMS 诱导的大多数变化发生在刺激的功能网络之外,这表明 rTMS 效应倾向于在网络之间传播。因此,未来的研究可能希望采用公约和系统框架,例如这里采用的 Yeo 功能连通性分区图谱,以更好地描述有助于这些快速发展的非侵入性干预措施有效性的网络水平效应。