静止状态EEG的临界性预测了麻醉期间的扰动复杂性和意识水平
Charlotte Maschke1,2,3, Jordan O'Byrne3,4, Michele Angelo Colombo5
1Montreal General Hospital, McGill University Health Centre, Montreal, Canada.
bioRxiv : the preprint server for biology
|November 23, 2023
概括
这项研究将大脑活动模式与意识的关键性联系起来. 在麻醉下失去意识显示大脑复杂性降低,支持关键性.
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.
- 麻醉学 麻醉学
背景情况:
- 理论上,意识是从接近关键性的电生理学模式中出现的.
- 关键性表示具有自适应计算,高复杂性和对干扰的敏感性的动态状态.
- 扰乱复杂度指数 (PCI) 检测到意识,不论行为.
研究的目的:
- 为了调查在全身麻醉期间的脑电图 (EEG) 动态.
- 探索大脑动态和PCI之间的关系.
- 为了实验性地将不响应与无意识分开.
主要方法:
- 在健康的受试者中,在普罗波福,或胺麻醉下记录了静止状态EEG.
- 评估了雪崩的关键性,混乱性和关键性相关的措施.
- 与扰乱复杂度指数 (PCI) 相关联的动态特性.
主要成果:
- 无意识状态 (propofol, xenon) 显示大脑复杂性降低,偏离了关键性.
- 胺麻醉保留了一些有明显动态的意识 (生动的梦).
- 预测个体PCI (PCImax) 的绝对平均误差为<7%.
结论:
- 在无意识期间,大脑动力学远离了关键性.
- 在PCI和关键性之间存在着密切的联系.
- 这为批判性在意识出现中的作用提供了证据.
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