Mapping Network Activity in Sleep

It was in the influenza pandemic of 1918 that von Economo identified specific brain regions regulating sleep and wake. Since then researchers have used a variety of tools to determine how the brain shifts between states of consciousness. In every enterprise new tools have validated existing data, co...

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Main Authors: Priyattam J. Shiromani, Carlos Blanco-Centurion, Aurelio Vidal-Ortiz
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-03-01
Series:Frontiers in Neuroscience
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fnins.2021.646468/full
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spelling doaj-aefd9ae475784310975638ea4f68da002021-03-22T05:42:58ZengFrontiers Media S.A.Frontiers in Neuroscience1662-453X2021-03-011510.3389/fnins.2021.646468646468Mapping Network Activity in SleepPriyattam J. Shiromani0Priyattam J. Shiromani1Carlos Blanco-Centurion2Aurelio Vidal-Ortiz3Ralph H. Johnson VA Medical Center, Charleston, SC, United StatesDepartment of Psychiatry and Biobehavioral Science, Medical University of South Carolina, Charleston, SC, United StatesDepartment of Psychiatry and Biobehavioral Science, Medical University of South Carolina, Charleston, SC, United StatesRalph H. Johnson VA Medical Center, Charleston, SC, United StatesIt was in the influenza pandemic of 1918 that von Economo identified specific brain regions regulating sleep and wake. Since then researchers have used a variety of tools to determine how the brain shifts between states of consciousness. In every enterprise new tools have validated existing data, corrected errors and made new discoveries to advance science. The brain is a challenge but new tools can disentangle the brain network. We summarize the newest tool, a miniature microscope, that provides unprecedented view of activity of glia and neurons in freely behaving mice. With this tool we have observed that the activity of a majority of GABA and MCH neurons in the lateral hypothalamus is heavily biased toward sleep. We suggest that miniscope data identifies activity at the cellular level in normal versus diseased brains, and also in response to specific hypnotics. Shifts in activity in small networks across the brain will help identify point of criticality that switches the brain from wake to sleep.https://www.frontiersin.org/articles/10.3389/fnins.2021.646468/fullcalcium imagingsleepbrain networkshypothalamusmicroendoscopy
collection DOAJ
language English
format Article
sources DOAJ
author Priyattam J. Shiromani
Priyattam J. Shiromani
Carlos Blanco-Centurion
Aurelio Vidal-Ortiz
spellingShingle Priyattam J. Shiromani
Priyattam J. Shiromani
Carlos Blanco-Centurion
Aurelio Vidal-Ortiz
Mapping Network Activity in Sleep
Frontiers in Neuroscience
calcium imaging
sleep
brain networks
hypothalamus
microendoscopy
author_facet Priyattam J. Shiromani
Priyattam J. Shiromani
Carlos Blanco-Centurion
Aurelio Vidal-Ortiz
author_sort Priyattam J. Shiromani
title Mapping Network Activity in Sleep
title_short Mapping Network Activity in Sleep
title_full Mapping Network Activity in Sleep
title_fullStr Mapping Network Activity in Sleep
title_full_unstemmed Mapping Network Activity in Sleep
title_sort mapping network activity in sleep
publisher Frontiers Media S.A.
series Frontiers in Neuroscience
issn 1662-453X
publishDate 2021-03-01
description It was in the influenza pandemic of 1918 that von Economo identified specific brain regions regulating sleep and wake. Since then researchers have used a variety of tools to determine how the brain shifts between states of consciousness. In every enterprise new tools have validated existing data, corrected errors and made new discoveries to advance science. The brain is a challenge but new tools can disentangle the brain network. We summarize the newest tool, a miniature microscope, that provides unprecedented view of activity of glia and neurons in freely behaving mice. With this tool we have observed that the activity of a majority of GABA and MCH neurons in the lateral hypothalamus is heavily biased toward sleep. We suggest that miniscope data identifies activity at the cellular level in normal versus diseased brains, and also in response to specific hypnotics. Shifts in activity in small networks across the brain will help identify point of criticality that switches the brain from wake to sleep.
topic calcium imaging
sleep
brain networks
hypothalamus
microendoscopy
url https://www.frontiersin.org/articles/10.3389/fnins.2021.646468/full
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