*Department of Neurology, Medical University Innsbruck, Innsbruck, Austria; †Department of Neurology, Christian Doppler Klinik, Paracelsus Medical University Salzburg, Salzburg, Austria; and ‡Johns Hopkins Bayview Medical Center, Baltimore, Maryland, U.S.A.
J Clin Neurophysiol. 2013 Oct;30(5):477-89. doi: 10.1097/WNP.0b013e3182a73e47.
In patients with coma resulting from hypoxic encephalopathy (e.g., after cardiac arrest), the EEG may reflect the severity of brain dysfunction, although the exact relationship among the EEG changes, the extent of neuronal damage, and consequent prognosis is still under study. Many prognostications are based on particular EEG patterns at a time point, such as burst suppression or generalized periodic discharges, but with sequential, repeated, or with prolonged or continuous EEG monitoring, it has become increasingly clear that more information might be gleaned from EEG pattern changes over time. Short-term fluctuations (as opposed to permanent transitions), or preserved reactions to exogenous stimuli, have to be differentiated. This review presents many of the typical postanoxic EEG patterns, along with their evolution over time. This preliminary report illustrates the temporal dynamic changes of EEG over time. It is hoped that it will act as a starting point for prospective and systematic investigation to test whether EEG evolution and transitions add diagnostic and prognostic value.
在因缺氧性脑病导致昏迷的患者中(例如,心脏骤停后),脑电图可能反映大脑功能障碍的严重程度,尽管脑电图变化、神经元损伤程度和随之而来的预后之间的确切关系仍在研究中。许多预测是基于特定时间点的特定脑电图模式,例如爆发抑制或广泛周期性放电,但随着连续、重复或延长或持续的脑电图监测,越来越清楚的是,从脑电图模式随时间的变化中可以获得更多信息。必须区分短期波动(与永久性转变相反)或对外源性刺激的保留反应。这篇综述介绍了许多典型的缺氧后脑电图模式及其随时间的演变。本初步报告说明了脑电图随时间的时间动态变化。希望它能成为前瞻性和系统调查的起点,以测试脑电图的演变和转变是否增加诊断和预后价值。