van Bree Sander, Levenstein Daniel, Krause Matthew R, Voytek Bradley, Gao Richard
Department of Medicine, Justus Liebig University, Giessen, Germany; Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany; Centre for Cognitive Neuroimaging, School of Psychology and Neuroscience, University of Glasgow, Glasgow, UK.
MILA - Quebec AI Institute, Montreal, QC, Canada; Montreal Neurological Institute and Hospital, McGill University, Montreal, QC, Canada.
Trends Cogn Sci. 2025 May;29(5):448-466. doi: 10.1016/j.tics.2024.12.003. Epub 2025 Jan 2.
Various neuroscientific theories maintain that brain oscillations are important for neuronal computation, but opposing views claim that these macroscale dynamics are 'exhaust fumes' of more relevant processes. Here, we approach the question of whether oscillations are functional or epiphenomenal by distinguishing between measurements and processes, and by reviewing whether causal or inferentially useful links exist between field potentials, electric fields, and neurobiological events. We introduce a vocabulary for the role of brain signals and their underlying processes, demarcating oscillations as a distinct entity where both processes and measurements can exhibit periodicity. Leveraging this distinction, we suggest that electric fields, oscillating or not, are causally and computationally relevant, and that field potential signals can carry information even without causality.
各种神经科学理论认为,脑振荡对神经元计算很重要,但也有相反观点认为,这些宏观尺度的动力学是更相关过程的“废气”。在这里,我们通过区分测量和过程,并回顾场电位、电场和神经生物学事件之间是否存在因果关系或具有推理作用的联系,来探讨振荡是功能性的还是副现象的问题。我们引入了一个词汇来描述脑信号及其潜在过程的作用,将振荡划定为一个独特的实体,在其中过程和测量都可以表现出周期性。利用这一区别,我们认为,无论是否振荡,电场在因果关系和计算方面都是相关的,并且即使没有因果关系,场电位信号也可以携带信息。