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探究脑电图行波背后的功能和结构连通性。

Probing the Functional and Structural Connectivity Underlying EEG Traveling Waves.

作者信息

Qin Yun, Zhang Nan, Chen Yan, Tan Yue, Yang Zhenglin, Shi Yi, Luo Cheng, Liu Tiejun, Yao Dezhong

机构信息

MOE Key Lab for NeuroInformation, The Clinical Hospital of Chengdu Brain Science Institute, University of Electronic Science and Technology of China, Chengdu, China.

Sichuan Institute for Brain Science and Brain-Inspired Intelligence, Chengdu, P.R. China.

出版信息

Brain Topogr. 2022 Jan;35(1):66-78. doi: 10.1007/s10548-021-00862-0. Epub 2021 Jul 21.

Abstract

Neural oscillations play an important role in the maintenance of brain function by regulating multi-scale neural activity. Characterizing the traveling properties of EEG is helpful for understanding the spatiotemporal dynamics of neural oscillations. However, traveling EEG based on non-invasive approach has little been investigated, and the relationship with brain intrinsic connectivity is not well known. In this study, traveling EEG of different frequency bands on the scalp in terms of the center of mass (EEG-CM) was examined. Then, two quantitative indexes describing the spatiotemporal features of EEG-CM were proposed, i.e., the traveling lateralization and velocity of EEG-CM. Further, based on simultaneous EEG-MRI approach, the relationship between traveling EEG-CM and the resting-state functional networks, as well as the microstructural connectivity of white matter was investigated. The results showed that there was similar spatial distribution of EEG-CM under different frequency bands, while the velocity of rhythmic EEG-CM increased in higher frequency bands. The lateralization of EEG-CM in low frequency bands (< 30 Hz) demonstrated negative relationship with the basal ganglia network (BGN). In addition, the velocity of the traveling EEG-CM was associated with the fractional anisotropy (FA) in corpus callosum and corona radiate. These results provided valid quantitative EEG index for understanding the spatiotemporal characteristics of the scalp EEG, and implied that the EEG dynamics were representations of functional and structural organization of cortical and subcortical structures.

摘要

神经振荡通过调节多尺度神经活动在维持脑功能中发挥重要作用。表征脑电图(EEG)的传播特性有助于理解神经振荡的时空动态。然而,基于非侵入性方法的传播性EEG研究较少,其与脑内在连接性的关系也尚不明确。在本研究中,我们考察了基于质心(EEG-CM)的头皮上不同频段的传播性EEG。然后,提出了两个描述EEG-CM时空特征的定量指标,即EEG-CM的传播偏侧化和速度。此外,基于同步EEG-MRI方法,研究了传播性EEG-CM与静息态功能网络以及白质微观结构连接性之间的关系。结果表明,不同频段下EEG-CM的空间分布相似,而节律性EEG-CM的速度在高频段增加。低频段(<30Hz)EEG-CM的偏侧化与基底神经节网络(BGN)呈负相关。此外,传播性EEG-CM的速度与胼胝体和放射冠中的各向异性分数(FA)相关。这些结果为理解头皮EEG的时空特征提供了有效的定量EEG指标,并暗示EEG动态是皮质和皮质下结构功能和结构组织的表现。

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