التفاصيل البيبلوغرافية
| العنوان: |
Quantitative EEG and brain network analysis: predicting awakening from early coma after cardiopulmonary resuscitation. |
| المؤلفون: |
Jiang, Mengdi, Niu, Zikang, Liu, Gang, Huang, Huijin, Li, Xiaoli, Su, Yingying |
| المصدر: |
Neurological Research; Oct2023, Vol. 45 Issue 10, p969-978, 10p |
| مصطلحات موضوعية: |
LARGE-scale brain networks, CARDIOPULMONARY resuscitation, ELECTROENCEPHALOGRAPHY, COMA, POWER spectra |
| مستخلص: |
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. [ABSTRACT FROM AUTHOR] |
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| قاعدة البيانات: |
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