Alamian Golnoush, Hincapié Ana-Sofía, Pascarella Annalisa, Thiery Thomas, Combrisson Etienne, Saive Anne-Lise, Martel Véronique, Althukov Dmitrii, Haesebaert Frédéric, Jerbi Karim
Department of Psychology, University of Montreal, QC, Canada.
Department of Psychology, University of Montreal, QC, Canada; Department of Computer Science, Pontificia Universidad Católica de Chile, Santiago de Chile, Chile; School of Psychology, Pontificia Universidad Católica de Chile, and Interdisciplinary Center for Neurosciences, Pontificia Universidad Católica de Chile, Santiago de Chile, Chile.
Clin Neurophysiol. 2017 Sep;128(9):1719-1736. doi: 10.1016/j.clinph.2017.06.246. Epub 2017 Jul 8.
Neuroimaging studies provide evidence of disturbed resting-state brain networks in Schizophrenia (SZ). However, untangling the neuronal mechanisms that subserve these baseline alterations requires measurement of their electrophysiological underpinnings. This systematic review specifically investigates the contributions of resting-state Magnetoencephalography (MEG) in elucidating abnormal neural organization in SZ patients.
A systematic literature review of resting-state MEG studies in SZ was conducted. This literature is discussed in relation to findings from resting-state fMRI and EEG, as well as to task-based MEG research in SZ population. Importantly, methodological limitations are considered and recommendations to overcome current limitations are proposed.
Resting-state MEG literature in SZ points towards altered local and long-range oscillatory network dynamics in various frequency bands. Critical methodological challenges with respect to experiment design, and data collection and analysis need to be taken into consideration.
Spontaneous MEG data show that local and global neural organization is altered in SZ patients. MEG is a highly promising tool to fill in knowledge gaps about the neurophysiology of SZ. However, to reach its fullest potential, basic methodological challenges need to be overcome.
MEG-based resting-state power and connectivity findings could be great assets to clinical and translational research in psychiatry, and SZ in particular.
神经影像学研究为精神分裂症（SZ）静息态脑网络紊乱提供了证据。然而，要弄清楚支持这些基线改变的神经元机制，需要测量其电生理基础。本系统综述专门研究静息态脑磁图（MEG）在阐明SZ患者异常神经组织方面的作用。
对SZ患者静息态MEG研究进行系统的文献综述。结合静息态功能磁共振成像（fMRI）和脑电图（EEG）的研究结果，以及SZ人群基于任务的MEG研究来讨论这些文献。重要的是，要考虑方法学上的局限性，并提出克服当前局限性的建议。
SZ患者静息态MEG文献表明，不同频段的局部和远程振荡网络动力学发生了改变。需要考虑实验设计、数据收集和分析方面的关键方法学挑战。
自发MEG数据显示，SZ患者的局部和整体神经组织发生了改变。MEG是填补关于SZ神经生理学知识空白的极有前景的工具。然而，要充分发挥其潜力，需要克服基本的方法学挑战。
基于MEG的静息态功率和连接性研究结果可能对精神病学尤其是SZ的临床和转化研究具有重要价值。
