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经颅光生物调节改变静息态脑网络的拓扑结构、同步性和复杂性。

Transcranial photobiomodulation changes topology, synchronizability, and complexity of resting state brain networks.

机构信息

Centre for Vision Research, York University, Toronto, Canada.

Department of psychology, University of Calgary, Calgary, Canada.

出版信息

J Neural Eng. 2021 May 10;18(4). doi: 10.1088/1741-2552/abf97c.

DOI:10.1088/1741-2552/abf97c
PMID:33873167
Abstract

. Transcranial photobiomodulation (tPBM) is a recently proposed non-invasive brain stimulation approach with various effects on the nervous system from the cells to the whole brain networks. Specially in the neural network level, tPBM can alter the topology and synchronizability of functional brain networks. However, the functional properties of the neural networks after tPBM are still poorly clarified.. Here, we employed electroencephalography and different methods (conventional and spectral) in the graph theory analysis to track the significant effects of tPBM on the resting state brain networks. The non-parametric statistical analysis showed that just one short-term tPBM session over right medial frontal pole can significantly change both topological (i.e. clustering coefficient, global efficiency, local efficiency, eigenvector centrality) and dynamical (i.e. energy, largest eigenvalue, and entropy) features of resting state brain networks.. The topological results revealed that tPBM can reduce local processing, centrality, and laterality. Furthermore, the increased centrality of central electrode was observed.. These results suggested that tPBM can alter topology of resting state brain network to facilitate the neural information processing. On the other hand, the dynamical results showed that tPBM reduced stability of synchronizability and increased complexity in the resting state brain networks. These effects can be considered in association with the increased complexity of connectivity patterns among brain regions and the enhanced information propagation in the resting state brain networks. Overall, both topological and dynamical features of brain networks suggest that although tPBM decreases local processing (especially in the right hemisphere) and disrupts synchronizability of network, but it can increase the level of information transferring and processing in the brain network.

摘要

. 经颅光生物调节(tPBM)是一种最近提出的非侵入性脑刺激方法,对从细胞到整个大脑网络的神经系统具有多种影响。特别是在神经网络水平上,tPBM 可以改变功能大脑网络的拓扑结构和同步能力。然而,tPBM 后神经网络的功能特性仍不清楚。. 在这里,我们使用脑电图和不同的方法(常规和光谱)在图论分析中跟踪 tPBM 对静息状态大脑网络的显著影响。非参数统计分析表明,仅仅一次短时间的 tPBM 治疗右内侧额极就可以显著改变静息状态大脑网络的拓扑(即聚类系数、全局效率、局部效率、特征向量中心性)和动态(即能量、最大特征值和熵)特征。. 拓扑结果表明,tPBM 可以降低局部处理、中心性和侧化。此外,观察到中央电极的中心性增加。. 这些结果表明,tPBM 可以改变静息状态大脑网络的拓扑结构,以促进神经信息处理。另一方面,动力学结果表明,tPBM 降低了静息状态大脑网络同步能力的稳定性并增加了其复杂性。这些效应可以与大脑区域之间连接模式的复杂性增加以及静息状态大脑网络中信息传播的增强相关联。总体而言,大脑网络的拓扑和动力学特征表明,尽管 tPBM 降低了局部处理(特别是在右半球)和破坏了网络的同步能力,但它可以提高大脑网络中信息传递和处理的水平。

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