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由δ波段活动介导的轻度创伤性脑损伤中主导耦合模式的重新配置:一项静息态脑磁图研究。

Reconfiguration of dominant coupling modes in mild traumatic brain injury mediated by δ-band activity: A resting state MEG study.

作者信息

Antonakakis Marios, Dimitriadis Stavros I, Zervakis Michalis, Papanicolaou Andrew C, Zouridakis George

机构信息

Institute of Biomagnetism and Biosignal Analysis, Westfalian Wilhelms-University Muenster, Muenster 48149, Germany; Digital Image and Signal Processing Laboratory, School of Electronic and Computer Engineering, Technical University of Crete, Chania 73100, Greece.

Institute of Psychological Medicine and Clinical Neurosciences, Cardiff University School of Medicine, Cardiff, United Kingdom; Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Cardiff, United Kingdom.

出版信息

Neuroscience. 2017 Jul 25;356:275-286. doi: 10.1016/j.neuroscience.2017.05.032. Epub 2017 May 31.

Abstract

During the last few years, rich-club (RC) organization has been studied as a possible brain-connectivity organization model for large-scale brain networks. At the same time, empirical and simulated data of neurophysiological models have demonstrated the significant role of intra-frequency and inter-frequency coupling among distinct brain areas. The current study investigates further the importance of these couplings using recordings of resting-state magnetoencephalographic activity obtained from 30 mild traumatic brain injury (mTBI) subjects and 50 healthy controls. Intra-frequency and inter-frequency coupling modes are incorporated in a single graph to detect group differences within individual rich-club subnetworks (type I networks) and networks connecting RC nodes with the rest of the nodes (type II networks). Our results show a higher probability of inter-frequency coupling for (δ-γ), (δ-γ), (θ-β), (θ-γ), (α-γ), (γ-γ) and intra-frequency coupling for (γ-γ) and (δ-δ) for both type I and type II networks in the mTBI group. Additionally, mTBI and control subjects can be correctly classified with high accuracy (98.6%), whereas a general linear regression model can effectively predict the subject group using the ratio of type I and type II coupling in the (δ, θ), (δ, β), (δ, γ), and (δ, γ) frequency pairs. These findings support the presence of an RC organization simultaneously with dominant frequency interactions within a single functional graph. Our results demonstrate a hyperactivation of intrinsic RC networks in mTBI subjects compared to controls, which can be seen as a plausible compensatory mechanism for alternative frequency-dependent routes of information flow in mTBI subjects.

摘要

在过去几年中,富俱乐部(RC)组织已被作为大规模脑网络的一种可能的脑连接组织模型进行研究。与此同时,神经生理模型的实证和模拟数据表明,不同脑区之间的频率内耦合和频率间耦合具有重要作用。本研究使用从30名轻度创伤性脑损伤(mTBI)受试者和50名健康对照者获取的静息态脑磁图活动记录,进一步研究了这些耦合的重要性。频率内耦合和频率间耦合模式被纳入单个图中,以检测个体富俱乐部子网络(I型网络)以及连接RC节点与其他节点的网络(II型网络)内的组间差异。我们的结果显示,mTBI组的I型和II型网络中,(δ-γ)、(δ-γ)、(θ-β)、(θ-γ)、(α-γ)、(γ-γ)的频率间耦合以及(γ-γ)和(δ-δ)的频率内耦合的概率更高。此外,mTBI受试者和对照者能够以高精度(98.6%)被正确分类,而一个通用线性回归模型可以使用(δ,θ)、(δ,β)、(δ,γ)和(δ,γ)频率对中的I型和II型耦合比率有效地预测受试者组。这些发现支持了在单个功能图中同时存在RC组织以及主导频率相互作用。我们的结果表明,与对照组相比,mTBI受试者的内在RC网络过度激活,这可以被视为mTBI受试者中信息流的替代频率依赖性途径的一种合理补偿机制。

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