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运动想象的动态脑网络:头皮 EEG 的时变因果分析。

The Dynamic Brain Networks of Motor Imagery: Time-Varying Causality Analysis of Scalp EEG.

机构信息

* The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, Chengdu 611731, P. R. China.

† School of Electrical Engineering, Zhengzhou University, Zhengzhou 450001, P. R. China.

出版信息

Int J Neural Syst. 2019 Feb;29(1):1850016. doi: 10.1142/S0129065718500168. Epub 2018 Apr 11.

DOI:10.1142/S0129065718500168
PMID:29793372
Abstract

Motor imagery (MI) requires subjects to visualize the requested motor behaviors, which involves a large-scale network that spans multiple brain areas. The corresponding cortical activity reflected on the scalp is characterized by event-related desynchronization (ERD) and then by event-related synchronization (ERS). However, the network mechanisms that account for the dynamic information processing of MI during the ERD and ERS periods remain unknown. Here, we combined ERD/ERS analysis with the dynamic networks in different MI stages (i.e. motor preparation, ERD and ERS) to probe the dynamic processing of MI information. Our results show that specific dynamic network structures correspond to the ERD/ERS evolution patterns. Specifically, ERD mainly shows the contralateral networks, while ERS has the symmetric networks. Moreover, different dynamic network patterns are also revealed between the two types of MIs, in which the left-hand MIs exhibit a relatively less sustained contralateral network, which may be the network mechanism that accounts for the bilateral ERD/ERS observed for the left-hand MIs. Similar to the network topologies, the three MI stages also appear to be characterized by different network properties. The above findings all demonstrate that different MI stages that involve specific brain networks for dynamically processing the MI information.

摘要

运动想象(MI)要求受试者想象所请求的运动行为,这涉及跨越多个大脑区域的大规模网络。头皮上反映的相应皮质活动以事件相关去同步(ERD)为特征,然后以事件相关同步(ERS)为特征。然而,对于 ERD 和 ERS 期间 MI 的动态信息处理所涉及的网络机制尚不清楚。在这里,我们将 ERD/ERS 分析与不同 MI 阶段(即运动准备、ERD 和 ERS)的动态网络相结合,以探测 MI 信息的动态处理。我们的结果表明,特定的动态网络结构对应于 ERD/ERS 的演变模式。具体来说,ERD 主要显示对侧网络,而 ERS 则具有对称网络。此外,两种类型的 MI 之间还揭示了不同的动态网络模式,其中左手 MI 表现出相对较少的持续对侧网络,这可能是解释左手 MI 观察到的双侧 ERD/ERS 的网络机制。与网络拓扑结构类似,三个 MI 阶段似乎也具有不同的网络特性。上述发现均表明,不同的 MI 阶段涉及特定的大脑网络,用于动态处理 MI 信息。

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