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自发EEG中的关键动态预测了麻醉引起的意识丧失和扰乱复杂性

Charlotte Maschke^1,2,3, Jordan O'Byrne^3,4, Michele Angelo Colombo⁵

¹Montreal General Hospital, McGill University Health Centre, Montreal, QC, Canada.

Communications biology

|August 5, 2024

概括

意识需要大脑活动在关键性时保持平衡. 无意识,即使有反应能力,也会使大脑动态远离这个关键状态,正如脑电图 (EEG) 分析所显示的那样.

科学领域:

神经科学是一个神经科学.
计算神经科学是一种神经科学.
动态系统理论动态系统理论

背景情况:

理论上,意识是从大脑活动中出现的关键性,一个最大的复杂性和适应性的状态.
全身麻醉为研究意识和无意识状态之间的过渡提供了一个模型.

研究的目的:

在麻醉引起的无意识期间调查脑电图 (EEG) 动态.
为了确定在临界度时的大脑动态是否对意识至关重要.
将静态EEG动态与扰动复杂度指数 (PCI) 联系起来.

主要方法:

在健康的受试者中,在普罗波,或胺麻醉下记录了静止状态EEG.
分析了雪崩关键性,混乱性和关键性指标的EEG.
使用胺麻醉与意识分离不响应.

主要成果:

无意识状态 (propofol, xenon) 显示出明显的偏离关键性和混乱的边缘.
在保持意识 (梦想) 的胺麻醉中,表现出不同的动态特性.
静止状态EEG动态准确预测了个体受试者的PCI值.

结论:

大脑的关键性是意识的必要条件.
静止状态EEG的动态特性可以预测像PCI这样的意识指标.
失去意识与大脑动态的关键性丧失有关.

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