Department of Anesthesiology and Perioperative Medicine, David Geffen School of Medicine, University of California, Los Angeles, CA 90095;
Laboratory for Neurobiology and Behavior, The Rockefeller University, New York, NY 10065; and.
Proc Natl Acad Sci U S A. 2014 Jun 24;111(25):9283-8. doi: 10.1073/pnas.1408296111. Epub 2014 Jun 9.
It is not clear how, after a large perturbation, the brain explores the vast space of potential neuronal activity states to recover those compatible with consciousness. Here, we analyze recovery from pharmacologically induced coma to show that neuronal activity en route to consciousness is confined to a low-dimensional subspace. In this subspace, neuronal activity forms discrete metastable states persistent on the scale of minutes. The network of transitions that links these metastable states is structured such that some states form hubs that connect groups of otherwise disconnected states. Although many paths through the network are possible, to ultimately enter the activity state compatible with consciousness, the brain must first pass through these hubs in an orderly fashion. This organization of metastable states, along with dramatic dimensionality reduction, significantly simplifies the task of sampling the parameter space to recover the state consistent with wakefulness on a physiologically relevant timescale.
目前尚不清楚大脑在受到大的扰动后,是如何在潜在的神经元活动状态的广阔空间中进行探索,以恢复那些与意识兼容的状态。在这里,我们分析了从药物诱导昏迷中恢复的过程,以表明意识状态的神经元活动被限制在一个低维子空间中。在这个子空间中,神经元活动形成离散的亚稳态,其持续时间可达数分钟。连接这些亚稳态的网络的结构使得一些状态形成了枢纽,将原本不连通的状态连接起来。尽管网络中有许多可能的路径,但为了最终进入与意识兼容的活动状态,大脑必须首先有序地通过这些枢纽。这种亚稳态的组织形式,以及显著的维度降低,极大地简化了在生理相关时间尺度上恢复与清醒状态一致的状态的参数空间采样任务。