Brainwave viscosity in propofol anaesthesia
Brainwave viscosity in propofol anaesthesia
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DOI：
10.1016/j.bja.2021.11.005
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发表时间：
2022-03
影响因子：
9.8
通讯作者：
Warnaby CE
中科院分区：
文献类型：
--
作者：
Fabus MS;Woolrich MW;Warnaby CE
异丙酚麻醉期间的人类脑电图显示出大规模的变化，包括行进的慢波。慢波饱和是感知丧失的潜在个体化标志。然而，关于慢波的动力学仍有很多不清楚的地方。迭代经验模式分解 (itEMD) 是一种新颖的数据驱动方法，用于将数据分离成生理相关的振荡模式。我们使用 itEMD 来识别异丙酚脑电图中的光谱模式及其源/汇。粘度是表示流动阻力大小的物理量。将大脑中的行进电势视为一种流动，我们将粘度的概念扩展到行进的脑电波。利用这一点，我们探索了志愿者异丙酚麻醉中脑电波粘度的变化。
Human EEG during propofol anaesthesia shows large-scale changes including traveling slow waves . Slow-wave saturation is a potentially individualised marker of loss of perception . However, much remains unclear about the dynamics of slow waves. Iterated empirical mode decomposition (itEMD ) is a novel data-driven method for segregating data into physiologically relevant oscillatory modes. We used itEMD to identify spectral modes and their sources / sinks in propofol EEG. Viscosity is a physical quantity expressing the magnitude of resistance to flow. Considering traveling electric potentials in the brain as a flow, we extended the notion of viscosity to traveling brainwaves. Using this, we explored how brainwave viscosity changes in volunteer propofol anaesthesia.