Zobaer M S, Domenico Carli M, Perotti Luca, Ji Daoyun, Dabaghian Yuri
Department of Neurology, McGovern Medical Center at Houston, The University of Texas, Houston, TX, United States.
Department of Neuroscience, Baylor College of Medicine, Houston, TX, United States.
Front Comput Neurosci. 2022 Jun 10;16:880742. doi: 10.3389/fncom.2022.880742. eCollection 2022.
Neurons in the brain are submerged into oscillating extracellular potential produced by synchronized synaptic currents. The dynamics of these oscillations is one of the principal characteristics of neurophysiological activity, broadly studied in basic neuroscience and used in applications. However, our interpretation of the brain waves' structure and hence our understanding of their functions depend on the mathematical and computational approaches used for data analysis. The oscillatory nature of the wave dynamics favors Fourier methods, which have dominated the field for several decades and currently constitute the only systematic approach to brain rhythms. In the following study, we outline an alternative framework for analyzing waves of local field potentials (LFPs) and discuss a set of new structures that it uncovers: a discrete set of frequency-modulated oscillatory processes-the brain wave oscillons and their transient spectral dynamics.
大脑中的神经元沉浸在由同步突触电流产生的振荡细胞外电位中。这些振荡的动力学是神经生理活动的主要特征之一，在基础神经科学中得到广泛研究并应用于实际。然而，我们对脑电波结构的解释以及因此对其功能的理解取决于用于数据分析的数学和计算方法。波动力学的振荡性质有利于傅里叶方法，几十年来该方法一直主导着该领域，目前是研究脑节律的唯一系统方法。在下面的研究中，我们概述了一种用于分析局部场电位（LFP）波的替代框架，并讨论了它所揭示的一组新结构：一组离散的频率调制振荡过程——脑电波振荡子及其瞬态光谱动力学。
