无意识
异丙酚
局部场电位
神经科学
人口
猕猴
抑制性突触后电位
人工神经网络
麻醉
心理学
计算机科学
医学
人工智能
环境卫生
作者
Adam Eisen,Leo Kozachkov,André M. Bastos,Jacob Donoghue,Meredith Mahnke,Scott L. Brincat,Sarthak Chandra,John Tauber,Emery N. Brown,Ila Fiete,Earl K. Miller
出处
期刊:Neuron
[Elsevier]
日期:2024-07-15
卷期号:112 (16): 2799-2813.e9
被引量:20
标识
DOI:10.1016/j.neuron.2024.06.011
摘要
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.
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