論文

査読有り 招待有り
2017年5月

Promising techniques to illuminate neuromodulatory control of the cerebral cortex in sleeping and waking states

NEUROSCIENCE RESEARCH
  • Takeshi Kanda
  • ,
  • Kaoru Ohyama
  • ,
  • Hiroki Muramoto
  • ,
  • Nami Kitajima
  • ,
  • Hiroshi Sekiya

118
118
開始ページ
92
終了ページ
103
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1016/j.neures.2017.04.009
出版者・発行元
ELSEVIER IRELAND LTD

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 Ca2+ 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. (C) 2017 Elsevier Ireland Ltd and Japan Neuroscience Society. All rights reserved.

リンク情報
DOI
https://doi.org/10.1016/j.neures.2017.04.009
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000405049400011&DestApp=WOS_CPL
URL
http://www.sciencedirect.com/science/article/pii/S0168010217301141
ID情報
  • DOI : 10.1016/j.neures.2017.04.009
  • ISSN : 0168-0102
  • eISSN : 1872-8111
  • Web of Science ID : WOS:000405049400011

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