Objective. Growing evidence have linked disorders of consciousness (DOC) with the changes in frequency-specific functional networks. However, the alteration of inter-frequency dynamics in brain networks remain largely unknown. In this study, we investigated the network integration and segregation across frequency bands in a multiplex network framework. Approach. Resting-state EEG data were recorded and analysed from 19 patients in minimally conscious state, 35 patients in unresponsive wakefulness syndrome (UWS) and 23 healthy controls. Frequency-based multiplex (cross-frequency) networks were reconstructed by integrating the five frequency-specific networks. Multiplex graph metrics, named multiplex participation coefficient and multiplex clustering coefficient, were employed to assess the network topology of subjects with different levels of consciousness. Main results. Results revealed DOC networks, compared to those of healthy controls, may work at a less...

中文翻译：

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意识障碍中大脑网络的频率间动态变化。

目的。越来越多的证据将意识障碍（DOC）与频率特定的功能网络的变化联系在一起。但是，大脑网络中频率间动态的变化仍然未知。在这项研究中，我们研究了多路复用网络框架中跨频段的网络集成和隔离。方法。记录并分析了19位处于最低意识状态的患者，35位无反应的清醒综合征（UWS）和23位健康对照者的静息状态EEG数据。通过整合五个特定于频率的网络，重构了基于频率的多工（跨频）网络。多重图度量，称为多重参与系数和多重聚类系数，被用来评估具有不同意识水平的受试者的网络拓扑。主要结果。结果显示，与健康对照组相比，DOC网络的工作效率可能更低。