Neuroscience Center Zurich, University of Zurich and ETH Zurich, Zurich, Switzerland; Department of Neurology, University Hospital Zurich and University of Zurich, Zurich, Switzerland; Clinical Neuroscience Center, University Hospital Zurich and University of Zurich, Zurich, Switzerland.
Computational, Cognitive and Clinical Neuroscience Laboratory (C3NL), Department of Brain Sciences, Imperial College London, London, United Kingdom; School of Psychology, Faculty of Health and Medical Sciences, University of Surrey, Guildford, United Kingdom.
Brain Cogn. 2021 Mar;148:105677. doi: 10.1016/j.bandc.2020.105677. Epub 2021 Jan 21.
Neural oscillations and their association with brain states and cognitive functions have been object of extensive investigation over the last decades. Several electroencephalography (EEG) and magnetoencephalography (MEG) analysis approaches have been explored and oscillatory properties have been identified, in parallel with the technical and computational advancement. This review provides an up-to-date account of how EEG/MEG oscillations have contributed to the understanding of cognition. Methodological challenges, recent developments and translational potential, along with future research avenues, are discussed.
在过去的几十年里,神经振荡及其与大脑状态和认知功能的关系一直是广泛研究的对象。随着技术和计算的进步,已经探索了几种脑电图 (EEG) 和脑磁图 (MEG) 分析方法,并确定了振荡特性。这篇综述提供了一个最新的说明,即 EEG/MEG 振荡如何有助于理解认知。讨论了方法学挑战、最新进展和转化潜力以及未来的研究方向。