Kanda Takeshi, Ohyama Kaoru, Muramoto Hiroki, Kitajima Nami, Sekiya Hiroshi
International Institute for Integrative Sleep Medicine, University of Tsukuba, Ibaraki 305-8575, Japan.
International Institute for Integrative Sleep Medicine, University of Tsukuba, Ibaraki 305-8575, Japan.
Neurosci Res. 2017 May;118:92-103. doi: 10.1016/j.neures.2017.04.009. Epub 2017 Apr 20.
Sleep, a common event in daily life, has clear benefits for brain function, but what goes on in the brain when we sleep remains unclear. Sleep was long regarded as a silent state of the brain because the brain seemingly lacks interaction with the surroundings during sleep. Since the discovery of electrical activities in the brain at rest, electrophysiological methods have revealed novel concepts in sleep research. During sleep, the brain generates oscillatory activities that represent characteristic states of sleep. In addition to electrophysiology, opto/chemogenetics and two-photon Ca imaging methods have clarified that the sleep/wake states organized by neuronal and glial ensembles in the cerebral cortex are transitioned by neuromodulators. Even with these methods, however, it is extremely difficult to elucidate how and when neuromodulators spread, accumulate, and disappear in the extracellular space of the cortex. Thus, real-time monitoring of neuromodulator dynamics at high spatiotemporal resolution is required for further understanding of sleep. Toward direct detection of neuromodulator behavior during sleep and wakefulness, in this review, we discuss developing imaging techniques based on the activation of G-protein-coupled receptors that allow for visualization of neuromodulator dynamics.
睡眠是日常生活中的常见现象,对大脑功能有明显益处,但我们睡眠时大脑中发生了什么仍不清楚。长期以来,睡眠被视为大脑的静止状态,因为睡眠期间大脑似乎与周围环境缺乏互动。自从发现大脑在静息状态下的电活动以来,电生理方法在睡眠研究中揭示了新的概念。睡眠期间,大脑会产生代表睡眠特征状态的振荡活动。除了电生理学,光遗传学/化学遗传学和双光子钙成像方法已经阐明,大脑皮层中由神经元和神经胶质细胞群组织的睡眠/觉醒状态是由神经调质转换的。然而,即使有这些方法,要阐明神经调质如何以及何时在皮层的细胞外空间扩散、积累和消失也极其困难。因此,为了进一步理解睡眠,需要以高时空分辨率实时监测神经调质的动态变化。为了直接检测睡眠和清醒期间神经调质的行为,在这篇综述中,我们讨论了基于G蛋白偶联受体激活的成像技术的发展,这种技术可以使神经调质的动态变化可视化。