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Breakdown of effective information flow in disorders of consciousness: Insights from TMS-EEG

脑电图 意识 持续植物状态 信息流 心理学 神经科学 医学 听力学 认知心理学 哲学 最小意识状态 语言学
作者
Yang Bai,Yang Li,Xiangqiang Meng,Ying‐Zu Huang,Qijun Wang,Anjuan Gong,Zhen Feng,Ulf Ziemann
出处
期刊:Brain Stimulation [Elsevier BV]
卷期号:17 (3): 533-542 被引量:3
标识
DOI:10.1016/j.brs.2024.04.011
摘要

BackgroundThe complexity of the neurophysiological mechanisms underlying human consciousness is widely acknowledged, with information processing and flow originating in cortex conceived as a core mechanism of consciousness emergence. Combination of transcranial magnetic stimulation and electroencephalography (TMS-EEG) is considered as a promising technique to understand the effective information flow associated with consciousness.ObjectivesTo investigate information flow with TMS-EEG and its relationship to different consciousness states.MethodsWe applied an effective information flow analysis by combining time-varying multivariate adaptive autoregressive model and adaptive directed transfer function on TMS-EEG data of frontal, motor and parietal cortex in patients with disorder of consciousness (DOC), including 14 vegetative state/unresponsive wakefulness syndrome (VS/UWS) patients, 21 minimally conscious state (MCS) patients, and 22 healthy subjects.ResultsTMS in DOC patients, particularly VS/UWS, induced a significantly weaker effective information flow compared to healthy subjects. The bidirectional directed information flow was lost in DOC patients with TMS of frontal, motor and parietal cortex. The interactive ROI rate of the information flow network induced by TMS of frontal and parietal cortex was significantly lower in VS/UWS than in MCS. The interactive ROI rate correlated with DOC clinical scales.ConclusionsTMS-EEG revealed a physiologically relevant correlation between TMS-induced information flow and levels of consciousness. This suggests that breakdown of effective cortical information flow serves as a viable marker of human consciousness.SignificanceFindings offer a unique perspective on the relevance of information flow in DOC, thus providing a novel way of understanding the physiological basis of human consciousness.
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