Dynamics of Cortical Local Connectivity during Sleep-Wake States and the Homeostatic Process
Dynamics of Cortical Local Connectivity during Sleep-Wake States and the Homeostatic Process
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睡眠-觉醒状态和稳态过程中皮质局部连接的动态
DOI：
10.1093/cercor/bhaa012
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发表时间：
2020
期刊：
影响因子：
3.7
通讯作者：
Masashi Yanagisawa
中科院分区：
文献类型：
--
作者：
Takehiro Miyazaki;Takeshi Kanda;Natsuko Tsujino;Ryo Ishii;Daiki Nakatsuka;Mariko Kizuka;Yasuhiro Kasagi;Hideitsu Hino;Masashi Yanagisawa
睡眠对大脑皮层有调节作用。然而，睡眠是否调节了皮层的局部连通性，或者仅仅是个体神经活动，人们还知之甚少。在这里，我们研究了功能的连接，即神经元之间的协变活动，在自发的睡眠-觉醒状态和睡眠剥夺期间和之后，使用钙成像确定兴奋/抑制神经元在运动皮层。用统计学习方法glasso估计功能连接，并通过“建立连接的概率（稀疏/密集）”和“建立连接的强度（弱/强）”进行量化。在非快速眼动（NREM）睡眠和密集的REM睡眠，这是相似的兴奋性和抑制性神经元的局部皮层连接稀疏。整体平均强度的连接并没有很大的差异，在自发的睡眠-觉醒状态。睡眠剥夺诱导强烈的兴奋/抑制和密集的抑制，但不是兴奋，连接。睡眠剥夺后的NREM睡眠表现出弱的兴奋/抑制，稀疏的兴奋，和密集的抑制连接。这些研究结果表明，睡眠-觉醒状态调节局部皮层连接，并且调节是大的，并且在睡眠的稳态控制期间补偿局部回路的稳定性，这有助于神经信息流的塑性变化。
Sleep exerts modulatory effects on the cerebral cortex. Whether sleep modulates local connectivity in the cortex or only individual neural activity, however, is poorly understood. Here we investigated functional connectivity, that is, covarying activity between neurons, during spontaneous sleep–wake states and during and after sleep deprivation using calcium imaging of identified excitatory/inhibitory neurons in the motor cortex. Functional connectivity was estimated with a statistical learning approach glasso and quantified by “the probability of establishing connectivity (sparse/dense)” and “the strength of the established connectivity (weak/strong).” Local cortical connectivity was sparse in non-rapid eye movement (NREM) sleep and dense in REM sleep, which was similar in both excitatory and inhibitory neurons. The overall mean strength of the connectivity did not differ largely across spontaneous sleep–wake states. Sleep deprivation induced strong excitatory/inhibitory and dense inhibitory, but not excitatory, connectivity. Subsequent NREM sleep after sleep deprivation exhibited weak excitatory/inhibitory, sparse excitatory, and dense inhibitory connectivity. These findings indicate that sleep–wake states modulate local cortical connectivity, and the modulation is large and compensatory for stability of local circuits during the homeostatic control of sleep, which contributes to plastic changes in neural information flow.