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Competitive dynamics underlie cognitive improvements during sleep

We provide evidence that human sleep is a competitive arena in which cognitive domains vie for limited resources. Using pharmacology and effective connectivity analysis, we demonstrate that long-term memory and working memory are served by distinct offline neural mechanisms that are mutually antagon...

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Detalles Bibliográficos
Autores principales: Chen, Pin-Chun, Niknazar, Hamid, Alaynick, William A., Whitehurst, Lauren N., Mednick, Sara C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: National Academy of Sciences 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8713802/
https://www.ncbi.nlm.nih.gov/pubmed/34903651
http://dx.doi.org/10.1073/pnas.2109339118
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author Chen, Pin-Chun
Niknazar, Hamid
Alaynick, William A.
Whitehurst, Lauren N.
Mednick, Sara C.
author_facet Chen, Pin-Chun
Niknazar, Hamid
Alaynick, William A.
Whitehurst, Lauren N.
Mednick, Sara C.
author_sort Chen, Pin-Chun
collection PubMed
description We provide evidence that human sleep is a competitive arena in which cognitive domains vie for limited resources. Using pharmacology and effective connectivity analysis, we demonstrate that long-term memory and working memory are served by distinct offline neural mechanisms that are mutually antagonistic. Specifically, we administered zolpidem to increase central sigma activity and demonstrated targeted suppression of autonomic vagal activity. With effective connectivity, we determined the central activity has greater causal influence over autonomic activity, and the magnitude of this influence during sleep produced a behavioral trade-off between offline long-term and working memory processing. These findings suggest a sleep switch mechanism that toggles between central sigma-dependent long-term memory and autonomic vagal-dependent working memory processing.
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spelling pubmed-87138022022-01-21 Competitive dynamics underlie cognitive improvements during sleep Chen, Pin-Chun Niknazar, Hamid Alaynick, William A. Whitehurst, Lauren N. Mednick, Sara C. Proc Natl Acad Sci U S A Biological Sciences We provide evidence that human sleep is a competitive arena in which cognitive domains vie for limited resources. Using pharmacology and effective connectivity analysis, we demonstrate that long-term memory and working memory are served by distinct offline neural mechanisms that are mutually antagonistic. Specifically, we administered zolpidem to increase central sigma activity and demonstrated targeted suppression of autonomic vagal activity. With effective connectivity, we determined the central activity has greater causal influence over autonomic activity, and the magnitude of this influence during sleep produced a behavioral trade-off between offline long-term and working memory processing. These findings suggest a sleep switch mechanism that toggles between central sigma-dependent long-term memory and autonomic vagal-dependent working memory processing. National Academy of Sciences 2021-12-13 2021-12-21 /pmc/articles/PMC8713802/ /pubmed/34903651 http://dx.doi.org/10.1073/pnas.2109339118 Text en Copyright © 2021 the Author(s). Published by PNAS. https://creativecommons.org/licenses/by/4.0/This open access article is distributed under Creative Commons Attribution License 4.0 (CC BY) (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Biological Sciences
Chen, Pin-Chun
Niknazar, Hamid
Alaynick, William A.
Whitehurst, Lauren N.
Mednick, Sara C.
Competitive dynamics underlie cognitive improvements during sleep
title Competitive dynamics underlie cognitive improvements during sleep
title_full Competitive dynamics underlie cognitive improvements during sleep
title_fullStr Competitive dynamics underlie cognitive improvements during sleep
title_full_unstemmed Competitive dynamics underlie cognitive improvements during sleep
title_short Competitive dynamics underlie cognitive improvements during sleep
title_sort competitive dynamics underlie cognitive improvements during sleep
topic Biological Sciences
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8713802/
https://www.ncbi.nlm.nih.gov/pubmed/34903651
http://dx.doi.org/10.1073/pnas.2109339118
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