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Local Use-Dependent Sleep in Wakefulness Links Performance Errors to Learning
Sleep and wakefulness are no longer to be considered as discrete states. During wakefulness brain regions can enter a sleep-like state (off-periods) in response to a prolonged period of activity (local use-dependent sleep). Similarly, during nonREM sleep the slow-wave activity, the hallmark of sleep...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5891895/ https://www.ncbi.nlm.nih.gov/pubmed/29666574 http://dx.doi.org/10.3389/fnhum.2018.00122 |
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author | Quercia, Angelica Zappasodi, Filippo Committeri, Giorgia Ferrara, Michele |
author_facet | Quercia, Angelica Zappasodi, Filippo Committeri, Giorgia Ferrara, Michele |
author_sort | Quercia, Angelica |
collection | PubMed |
description | Sleep and wakefulness are no longer to be considered as discrete states. During wakefulness brain regions can enter a sleep-like state (off-periods) in response to a prolonged period of activity (local use-dependent sleep). Similarly, during nonREM sleep the slow-wave activity, the hallmark of sleep plasticity, increases locally in brain regions previously involved in a learning task. Recent studies have demonstrated that behavioral performance may be impaired by off-periods in wake in task-related regions. However, the relation between off-periods in wake, related performance errors and learning is still untested in humans. Here, by employing high density electroencephalographic (hd-EEG) recordings, we investigated local use-dependent sleep in wake, asking participants to repeat continuously two intensive spatial navigation tasks. Critically, one task relied on previous map learning (Wayfinding) while the other did not (Control). Behaviorally awake participants, who were not sleep deprived, showed progressive increments of delta activity only during the learning-based spatial navigation task. As shown by source localization, delta activity was mainly localized in the left parietal and bilateral frontal cortices, all regions known to be engaged in spatial navigation tasks. Moreover, during the Wayfinding task, these increments of delta power were specifically associated with errors, whose probability of occurrence was significantly higher compared to the Control task. Unlike the Wayfinding task, during the Control task neither delta activity nor the number of errors increased progressively. Furthermore, during the Wayfinding task, both the number and the amplitude of individual delta waves, as indexes of neuronal silence in wake (off-periods), were significantly higher during errors than hits. Finally, a path analysis linked the use of the spatial navigation circuits undergone to learning plasticity to off periods in wake. In conclusion, local sleep regulation in wakefulness, associated with performance failures, could be functionally linked to learning-related cortical plasticity. |
format | Online Article Text |
id | pubmed-5891895 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-58918952018-04-17 Local Use-Dependent Sleep in Wakefulness Links Performance Errors to Learning Quercia, Angelica Zappasodi, Filippo Committeri, Giorgia Ferrara, Michele Front Hum Neurosci Neuroscience Sleep and wakefulness are no longer to be considered as discrete states. During wakefulness brain regions can enter a sleep-like state (off-periods) in response to a prolonged period of activity (local use-dependent sleep). Similarly, during nonREM sleep the slow-wave activity, the hallmark of sleep plasticity, increases locally in brain regions previously involved in a learning task. Recent studies have demonstrated that behavioral performance may be impaired by off-periods in wake in task-related regions. However, the relation between off-periods in wake, related performance errors and learning is still untested in humans. Here, by employing high density electroencephalographic (hd-EEG) recordings, we investigated local use-dependent sleep in wake, asking participants to repeat continuously two intensive spatial navigation tasks. Critically, one task relied on previous map learning (Wayfinding) while the other did not (Control). Behaviorally awake participants, who were not sleep deprived, showed progressive increments of delta activity only during the learning-based spatial navigation task. As shown by source localization, delta activity was mainly localized in the left parietal and bilateral frontal cortices, all regions known to be engaged in spatial navigation tasks. Moreover, during the Wayfinding task, these increments of delta power were specifically associated with errors, whose probability of occurrence was significantly higher compared to the Control task. Unlike the Wayfinding task, during the Control task neither delta activity nor the number of errors increased progressively. Furthermore, during the Wayfinding task, both the number and the amplitude of individual delta waves, as indexes of neuronal silence in wake (off-periods), were significantly higher during errors than hits. Finally, a path analysis linked the use of the spatial navigation circuits undergone to learning plasticity to off periods in wake. In conclusion, local sleep regulation in wakefulness, associated with performance failures, could be functionally linked to learning-related cortical plasticity. Frontiers Media S.A. 2018-04-03 /pmc/articles/PMC5891895/ /pubmed/29666574 http://dx.doi.org/10.3389/fnhum.2018.00122 Text en Copyright © 2018 Quercia, Zappasodi, Committeri and Ferrara. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neuroscience Quercia, Angelica Zappasodi, Filippo Committeri, Giorgia Ferrara, Michele Local Use-Dependent Sleep in Wakefulness Links Performance Errors to Learning |
title | Local Use-Dependent Sleep in Wakefulness Links Performance Errors to Learning |
title_full | Local Use-Dependent Sleep in Wakefulness Links Performance Errors to Learning |
title_fullStr | Local Use-Dependent Sleep in Wakefulness Links Performance Errors to Learning |
title_full_unstemmed | Local Use-Dependent Sleep in Wakefulness Links Performance Errors to Learning |
title_short | Local Use-Dependent Sleep in Wakefulness Links Performance Errors to Learning |
title_sort | local use-dependent sleep in wakefulness links performance errors to learning |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5891895/ https://www.ncbi.nlm.nih.gov/pubmed/29666574 http://dx.doi.org/10.3389/fnhum.2018.00122 |
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