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Quantitative EEG and brain network analysis: predicting awakening from early coma after cardiopulmonary resuscitation

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机构: [1]Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China. [2]Currently working at Department of Neurology, Beijing Hospital, National Center of Gerontology, Beijing, China. [3]State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern, Beijing Normal University, Beijing, China.
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关键词: QEEG connectivity smallworld coma awakening

摘要:
For patients in early coma after cardiopulmonary resuscitation (CPR), quantitative electroencephalogram (EEG) and brain network analysis was performed to identify relevant indicators of awakening.A prospective cohort study was conducted on comatose patients after CPR in the neuro-critical care unit. The included patients received clinical evaluation. The bedside high-density (64-lead) EEG monitoring was performed for visual grading and calculation of power spectrum and brain network parameters. A 3-month prognostic assessment was performed and the patients were dichotomized into the awakening group and the unawakening group.A total of 25 patients were included. The awakening group had higher GCS score, more slow wave pattern and reactive EEG than the unawakening group (P = 0.003, P < 0.001, P < 0.001, respectively). Compared with the unawakening group, (1) the awakening group had significantly higher absolute and relative θ power and slow/fast band ratio of the whole brain (P < 0.05), (2) the awakening group had stronger connection based on coherence, phase synchronization, phase lag index and cross-correlation (P < 0.05), (3) the awakening group had higher small-worldness, clustering coefficient and average path length based on graph theory (P < 0.05).The power spectrum and brain network characteristics in patients in early coma after CPR have predictive value for recovery.

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基金编号: 81671037

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出版当年[2022]版:
大类 | 4 区 医学
小类 | 4 区 神经科学 4 区 临床神经病学
最新[2023]版:
大类 | 4 区 医学
小类 | 4 区 临床神经病学 4 区 神经科学
JCR分区:
出版当年[2021]版:
Q3 CLINICAL NEUROLOGY Q4 NEUROSCIENCES
最新[2023]版:
Q3 CLINICAL NEUROLOGY Q4 NEUROSCIENCES

影响因子: 最新[2023版] 最新五年平均 出版当年[2021版] 出版当年五年平均 出版前一年[2020版] 出版后一年[2022版]

第一作者:
第一作者机构: [1]Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China. [2]Currently working at Department of Neurology, Beijing Hospital, National Center of Gerontology, Beijing, China.
通讯作者:
通讯机构: [1]Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China. [3]State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern, Beijing Normal University, Beijing, China. [*1]State Key Laboratory of Cognitive Neuroscience and Learning and IDG/ McGovern, Beijing Normal University, Beijing, China [*2]Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
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