Tantirigama Malinda L S, Zolnik Timothy, Judkewitz Benjamin, Larkum Matthew E, Sachdev Robert N S
Institut für Biologie, Neurocure Center for Excellence, Charité Universitätsmedizin Berlin & Humboldt Universität, Berlin, Germany.
Front Syst Neurosci. 2020 May 8;14:23. doi: 10.3389/fnsys.2020.00023. eCollection 2020.
In this review article, we highlight several disparate ideas that are linked to changes in brain state (i.e., sleep to arousal, Down to Up, synchronized to de-synchronized). In any discussion of the brain state, we propose that the cortical pyramidal neuron has a central position. EEG recordings, which typically assess brain state, predominantly reflect the activity of cortical pyramidal neurons. This means that the dominant rhythmic activity that characterizes a particular brain state ultimately has to manifest globally across the pyramidal neuron population. During state transitions, it is the long-range connectivity of these neurons that broadcast the resultant changes in activity to many subcortical targets. Structures like the thalamus, brainstem/hypothalamic neuromodulatory systems, and respiratory systems can also strongly influence brain state, and for many decades we have been uncovering bidirectional pathways that link these structures to state changes in the cerebral cortex. More recently, movement and active behaviors have emerged as powerful drivers of state changes. Each of these systems involve different circuits distributed across the brain. Yet, for a system-wide change in brain state, there must be a collaboration between these circuits that reflects and perhaps triggers the transition between brain states. As we expand our understanding of how brain state changes, our current challenge is to understand how these diverse sets of circuits and pathways interact to produce the changes observed in cortical pyramidal neurons.
在这篇综述文章中,我们重点介绍了几个与脑状态变化相关的不同观点(即从睡眠到觉醒、从低到高、从同步到去同步)。在任何关于脑状态的讨论中,我们认为皮层锥体神经元具有核心地位。脑电图记录通常用于评估脑状态,主要反映皮层锥体神经元的活动。这意味着表征特定脑状态的主导节律活动最终必须在整个锥体神经元群体中全局显现。在状态转换期间,正是这些神经元的长程连接将活动的最终变化传播到许多皮层下靶点。诸如丘脑、脑干/下丘脑神经调节系统和呼吸系统等结构也能强烈影响脑状态,几十年来我们一直在揭示将这些结构与大脑皮层状态变化联系起来的双向通路。最近,运动和主动行为已成为状态变化的强大驱动因素。这些系统中的每一个都涉及分布在大脑各处的不同回路。然而,对于全系统的脑状态变化而言,这些回路之间必须存在协作,以反映并可能触发脑状态之间的转换。随着我们对脑状态变化理解的扩展,我们当前面临的挑战是了解这些不同的回路和通路如何相互作用,以产生在皮层锥体神经元中观察到的变化。