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异丙酚麻醉会使大脑皮层的神经动力学不稳定。

Propofol anesthesia destabilizes neural dynamics across cortex.

机构信息

The Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; The K. Lisa Yang Integrative Computational Neuroscience Center, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.

McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; The K. Lisa Yang Integrative Computational Neuroscience Center, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.

出版信息

Neuron. 2024 Aug 21;112(16):2799-2813.e9. doi: 10.1016/j.neuron.2024.06.011. Epub 2024 Jul 15.

Abstract

Every day, hundreds of thousands of people undergo general anesthesia. One hypothesis is that anesthesia disrupts dynamic stability-the ability of the brain to balance excitability with the need to be stable and controllable. To test this hypothesis, we developed a method for quantifying changes in population-level dynamic stability in complex systems: delayed linear analysis for stability estimation (DeLASE). Propofol was used to transition animals between the awake state and anesthetized unconsciousness. DeLASE was applied to macaque cortex local field potentials (LFPs). We found that neural dynamics were more unstable in unconsciousness compared with the awake state. Cortical trajectories mirrored predictions from destabilized linear systems. We mimicked the effect of propofol in simulated neural networks by increasing inhibitory tone. This in turn destabilized the networks, as observed in the neural data. Our results suggest that anesthesia disrupts dynamical stability that is required for consciousness.

摘要

每天都有成千上万的人接受全身麻醉。有一种假设认为,麻醉会破坏大脑的动态稳定性——即大脑平衡兴奋性与稳定和可控性需求的能力。为了验证这一假设,我们开发了一种量化复杂系统中群体水平动态稳定性变化的方法:用于稳定性估计的延迟线性分析(DeLASE)。我们使用异丙酚使动物在清醒状态和麻醉无意识状态之间转换。DeLASE 应用于猕猴皮层局部场电位(LFPs)。我们发现,与清醒状态相比,无意识状态下的神经动力学更不稳定。皮层轨迹反映了从线性系统中解稳的预测。我们通过增加抑制性音调来模拟异丙酚的作用,从而在模拟神经网络中模拟其作用。正如在神经数据中观察到的那样,这反过来又破坏了网络的稳定性。我们的研究结果表明,麻醉会破坏意识所必需的动态稳定性。

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