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Discovering oscillatory interaction networks with M/EEG: Challenges and breakthroughs

机译:利用M / EEG发现振荡的交互网络:挑战与突破

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摘要

The systems-level neuronal mechanisms that coordinate temporally, anatomically and functionally distributed neuronal activity into coherent cognitive operations in the human brain have remained poorly understood. Synchronization of neuronal oscillations may regulate network communication and could thus serve as such a mechanism. Evidence for this hypothesis, however, was until recently sparse, as methodological challenges limit the investigation of interareal interactions with non-invasive magneto- and electroencephalography (M/EEG) recordings. Nevertheless, recent advances in M/EEG source reconstruction and clustering methods support complete phase-interaction mappings that are essential for uncovering the large-scale neuronal assemblies and their functional roles. These data show that synchronization is a robust and behaviorally significant phenomenon in task-relevant cortical networks and could hence bind distributed neuronal processing to coherent cognitive states.
机译:在人脑中将时间,解剖和功能上分布的神经元活动协调为连贯的认知操作的系统级神经元机制仍然知之甚少。神经元振荡的同步可以调节网络通信,因此可以用作这种机制。然而,由于方法学上的挑战限制了对非侵入性磁和脑电图(M / EEG)记录对区域间相互作用的研究,该假设的证据直到最近还很少。然而,M / EEG源重构和聚类方法的最新进展支持完整的相相互作用映射,这对于揭示大规模神经元装配及其功能作用至关重要。这些数据表明,同步是与任务相关的皮层网络中的一种健壮且在行为上具有重要意义的现象,因此可以将分布式神经元处理与相干的认知状态相结合。

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