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Brain neural patterns and the memory function of sleep

Sleep is crucial for healthy cognition, including memory. The two main phases of sleep, REM and Non-REM sleep, are associated with characteristic electrophysiological patterns recorded using surface and intracranial electrodes. These patterns include sharp wave-ripples, cortical slow oscillations, d...

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Detalles Bibliográficos
Autores principales: Girardeau, Gabrielle, Lopes-dos-Santos, Vítor
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7611961/
https://www.ncbi.nlm.nih.gov/pubmed/34709916
http://dx.doi.org/10.1126/science.abi8370
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author Girardeau, Gabrielle
Lopes-dos-Santos, Vítor
author_facet Girardeau, Gabrielle
Lopes-dos-Santos, Vítor
author_sort Girardeau, Gabrielle
collection PubMed
description Sleep is crucial for healthy cognition, including memory. The two main phases of sleep, REM and Non-REM sleep, are associated with characteristic electrophysiological patterns recorded using surface and intracranial electrodes. These patterns include sharp wave-ripples, cortical slow oscillations, delta waves and spindles during Non-REM sleep, and theta oscillations during REM sleep. They reflect the precisely timed activity of underlying neural circuits. Here, we review how these electrical signatures have been guiding our understanding of the circuits and processes sustaining memory consolidation during sleep, focusing on hippocampal theta oscillations and sharp wave-ripples and how they coordinate with cortical patterns. Finally, we highlight how these brain patterns could also sustain sleep-dependent homeostatic processes and evoke several potential future directions for research on the memory function of sleep.
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spelling pubmed-76119612021-11-08 Brain neural patterns and the memory function of sleep Girardeau, Gabrielle Lopes-dos-Santos, Vítor Science Article Sleep is crucial for healthy cognition, including memory. The two main phases of sleep, REM and Non-REM sleep, are associated with characteristic electrophysiological patterns recorded using surface and intracranial electrodes. These patterns include sharp wave-ripples, cortical slow oscillations, delta waves and spindles during Non-REM sleep, and theta oscillations during REM sleep. They reflect the precisely timed activity of underlying neural circuits. Here, we review how these electrical signatures have been guiding our understanding of the circuits and processes sustaining memory consolidation during sleep, focusing on hippocampal theta oscillations and sharp wave-ripples and how they coordinate with cortical patterns. Finally, we highlight how these brain patterns could also sustain sleep-dependent homeostatic processes and evoke several potential future directions for research on the memory function of sleep. 2021-10-29 2021-10-28 /pmc/articles/PMC7611961/ /pubmed/34709916 http://dx.doi.org/10.1126/science.abi8370 Text en exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. https://creativecommons.org/licenses/by/4.0/This author manuscript is distributed under the terms of the Creative Commons Attribution license (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Article
Girardeau, Gabrielle
Lopes-dos-Santos, Vítor
Brain neural patterns and the memory function of sleep
title Brain neural patterns and the memory function of sleep
title_full Brain neural patterns and the memory function of sleep
title_fullStr Brain neural patterns and the memory function of sleep
title_full_unstemmed Brain neural patterns and the memory function of sleep
title_short Brain neural patterns and the memory function of sleep
title_sort brain neural patterns and the memory function of sleep
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7611961/
https://www.ncbi.nlm.nih.gov/pubmed/34709916
http://dx.doi.org/10.1126/science.abi8370
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