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谐波脑模式:连接大脑动力学中空间和时间的统一框架。

Harmonic Brain Modes: A Unifying Framework for Linking Space and Time in Brain Dynamics.

机构信息

1 Center of Brain and Cognition, Universitat Pompeu Fabra, Barcelona, Spain.

2 Institució Catalana de Recerca i Estudis Avancats (ICREA), Barcelona, Spain.

出版信息

Neuroscientist. 2018 Jun;24(3):277-293. doi: 10.1177/1073858417728032. Epub 2017 Sep 1.

Abstract

A fundamental characteristic of spontaneous brain activity is coherent oscillations covering a wide range of frequencies. Interestingly, these temporal oscillations are highly correlated among spatially distributed cortical areas forming structured correlation patterns known as the resting state networks, although the brain is never truly at "rest." Here, we introduce the concept of harmonic brain modes-fundamental building blocks of complex spatiotemporal patterns of neural activity. We define these elementary harmonic brain modes as harmonic modes of structural connectivity; that is, connectome harmonics, yielding fully synchronous neural activity patterns with different frequency oscillations emerging on and constrained by the particular structure of the brain. Hence, this particular definition implicitly links the hitherto poorly understood dimensions of space and time in brain dynamics and its underlying anatomy. Further we show how harmonic brain modes can explain the relationship between neurophysiological, temporal, and network-level changes in the brain across different mental states ( wakefulness, sleep, anesthesia, psychedelic). Notably, when decoded as activation of connectome harmonics, spatial and temporal characteristics of neural activity naturally emerge from the interplay between excitation and inhibition and this critical relation fits the spatial, temporal, and neurophysiological changes associated with different mental states. Thus, the introduced framework of harmonic brain modes not only establishes a relation between the spatial structure of correlation patterns and temporal oscillations (linking space and time in brain dynamics), but also enables a new dimension of tools for understanding fundamental principles underlying brain dynamics in different states of consciousness.

摘要

自发性大脑活动的一个基本特征是覆盖广泛频率范围的相干振荡。有趣的是,这些时间振荡在空间上分布的皮质区域之间高度相关,形成了被称为静息状态网络的结构相关模式,尽管大脑从未真正处于“静止”状态。在这里,我们引入了谐调脑模式的概念——这是神经活动复杂时空模式的基本构建块。我们将这些基本的谐调脑模式定义为结构连接的谐调模式;也就是说,连接组谐调,产生具有不同频率振荡的完全同步神经活动模式,这些振荡出现在大脑的特定结构上,并受到其约束。因此,这个特定的定义隐含地将大脑动力学及其潜在解剖学中迄今为止理解较差的空间和时间维度联系起来。此外,我们展示了谐调脑模式如何解释大脑在不同心理状态(清醒、睡眠、麻醉、迷幻)下的神经生理、时间和网络水平变化之间的关系。值得注意的是,当作为连接组谐调的激活进行解码时,神经活动的空间和时间特征自然从兴奋和抑制之间的相互作用中出现,这种关键关系符合与不同心理状态相关的空间、时间和神经生理变化。因此,引入的谐调脑模式框架不仅在相关模式和时间振荡的空间结构之间建立了关系(将大脑动力学中的空间和时间联系起来),而且还为理解不同意识状态下大脑动力学的基本原理提供了一个新的工具维度。

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