Department of Electrical and Systems Engineering, Washington University in St. Louis, USA; Medical Scientist Training Program, Washington University School of Medicine, USA.
Department of Electrical and Systems Engineering, Washington University in St. Louis, USA.
Clin Neurophysiol. 2022 May;137:84-91. doi: 10.1016/j.clinph.2022.02.010. Epub 2022 Feb 25.
We analyze a slow electrographic pattern, Macroperiodic Oscillations (MOs), in the EEG from a cohort of young critical care patients (n = 43) with continuous EEG monitoring. We construct novel quantitative methods to quantify and understand MOs.
We applied a nonparametric bilevel spectral analysis to identify MOs, a millihertz (0.004-0.01 Hz) modulation of 5-15 Hz activity in two separate ICU patient cohorts (n = 195 total). We also developed a rigorous measure to quantify MOs strength and spatial expression, which was validated against surrogate noise data.
Strong or spatially widespread MOs appear in both high clinical suspicion and a general ICU population. In the former, patients with strong or spatially widespread MOs tended to have worse clinical outcomes. Intracranial pressure and heart rate data from one patient provide insight into a potential broader physiological mechanism for MOs.
We quantified millihertz EEG modulation (MOs) in cohorts of critically ill pediatric patients. We demonstrated high incidence in two patient populations. In a high suspicion cohort, MOs are associated with poor outcome, suggesting future potential as a diagnostic and prognostic aid.
These results support the existence of EEG dynamics across disparate time-scales and may provide insight into brain injury physiology in young children.
我们分析了在接受连续脑电图监测的年轻重症监护患者队列（n=43）的脑电图中出现的缓慢电描记图模式——宏观周期波动（MOs）。我们构建了新的定量方法来量化和理解 MOs。
我们应用了一种非参数双层谱分析来识别 MOs，即在两个不同的 ICU 患者队列（共 n=195 例）中，5-15 Hz 活动的毫赫兹（0.004-0.01 Hz）调制。我们还开发了一种严格的方法来量化 MOs 的强度和空间表达，并通过替代噪声数据进行了验证。
在高临床怀疑和一般 ICU 人群中都出现了强或空间广泛的 MOs。在前一种情况下，具有强或空间广泛 MOs 的患者往往临床结局较差。一名患者的颅内压和心率数据提供了对 MOs 潜在更广泛生理机制的深入了解。
我们对重症儿科患者队列中的毫赫兹脑电图调制（MOs）进行了量化。我们在两个患者群体中都证明了其高发生率。在高怀疑队列中，MOs 与不良预后相关，这表明其将来可能作为一种诊断和预后辅助手段。
这些结果支持在不同时间尺度上存在脑电图动力学的存在，并可能为儿童脑损伤生理学提供深入了解。
