大脑动态的变化和意识状态过渡的驱动因素
Joseph Bodenheimer1, Paul Bogdan2, Sérgio Pequito3
1Department of Psychology, The University of Kansas, Lawrence, KS, United States.
Frontiers in computational neuroscience
|February 26, 2026
概括
这项研究使用先进的建模揭示了在改变意识期间大脑动态如何变化. 这些发现确定了影响不同状态大脑活动的关键驱动因素,有助于理解意识恢复.
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.
- 系统神经科学 系统神经科学
背景情况:
- 了解意识转变对于神经科学至关重要.
- 休息状态的大脑动态随着意识水平的变化而发生显著变化.
- 当前的模型在复杂的,自然主义的大脑活动分析中扎.
研究的目的:
- 在意识状态之间的过渡期间调查大脑动态的神经驱动器.
- 应用一种基于模型的新方法来分析功能磁共振成像 (fMRI) 数据,跨越意识层次.
- 为了确定外部刺激如何影响不同意识状态的不同大脑活动.
主要方法:
- 利用功能磁共振成像 (fMRI) 来捕捉休息状态的大脑动态.
- 在未知输入 (UI) 下使用线性时间不变 (LTI) 动态系统进行数据分析.
- 在四个状态中分析了大脑活动:清醒,轻度镇静,深度镇静和恢复.
主要成果:
- 在意识状态过渡期间观察到大脑动态的光谱形状的明显变化,包括系统稳定性和振荡模式频率.
- 确定了调节大规模大脑活动的外部驱动因素,特别是在自然听觉刺激期间.
- 证明刺激诱导的协同活动传播在不同意识状态之间有所不同.
结论:
- 在未知输入下的线性时间不变模型有效捕捉大规模的大脑动态变化和复杂范式中的驱动因素.
- 已识别的驱动因素提供了关于大脑全局动态在过渡到意识状态期间如何演变的见解.
- 这些发现有望开发更准确的生物标志物,用于意识障碍的意识恢复.
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