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Decline of long-range temporal correlations in the human brain during sustained wakefulness
Sleep is crucial for daytime functioning, cognitive performance and general well-being. These aspects of daily life are known to be impaired after extended wake, yet, the underlying neuronal correlates have been difficult to identify. Accumulating evidence suggests that normal functioning of the bra...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5605531/ https://www.ncbi.nlm.nih.gov/pubmed/28928479 http://dx.doi.org/10.1038/s41598-017-12140-w |
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author | Meisel, Christian Bailey, Kimberlyn Achermann, Peter Plenz, Dietmar |
author_facet | Meisel, Christian Bailey, Kimberlyn Achermann, Peter Plenz, Dietmar |
author_sort | Meisel, Christian |
collection | PubMed |
description | Sleep is crucial for daytime functioning, cognitive performance and general well-being. These aspects of daily life are known to be impaired after extended wake, yet, the underlying neuronal correlates have been difficult to identify. Accumulating evidence suggests that normal functioning of the brain is characterized by long-range temporal correlations (LRTCs) in cortex, which are supportive for decision-making and working memory tasks. Here we assess LRTCs in resting state human EEG data during a 40-hour sleep deprivation experiment by evaluating the decay in autocorrelation and the scaling exponent of the detrended fluctuation analysis from EEG amplitude fluctuations. We find with both measures that LRTCs decline as sleep deprivation progresses. This decline becomes evident when taking changes in signal power into appropriate consideration. In contrast, the presence of strong signal power increases in some frequency bands over the course of sleep deprivation may falsely indicate LRTC changes that do not reflect the underlying long-range temporal correlation structure. Our results demonstrate the importance of sleep to maintain LRTCs in the human brain. In complex networks, LRTCs naturally emerge in the vicinity of a critical state. The observation of declining LRTCs during wake thus provides additional support for our hypothesis that sleep reorganizes cortical networks towards critical dynamics for optimal functioning. |
format | Online Article Text |
id | pubmed-5605531 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-56055312017-09-20 Decline of long-range temporal correlations in the human brain during sustained wakefulness Meisel, Christian Bailey, Kimberlyn Achermann, Peter Plenz, Dietmar Sci Rep Article Sleep is crucial for daytime functioning, cognitive performance and general well-being. These aspects of daily life are known to be impaired after extended wake, yet, the underlying neuronal correlates have been difficult to identify. Accumulating evidence suggests that normal functioning of the brain is characterized by long-range temporal correlations (LRTCs) in cortex, which are supportive for decision-making and working memory tasks. Here we assess LRTCs in resting state human EEG data during a 40-hour sleep deprivation experiment by evaluating the decay in autocorrelation and the scaling exponent of the detrended fluctuation analysis from EEG amplitude fluctuations. We find with both measures that LRTCs decline as sleep deprivation progresses. This decline becomes evident when taking changes in signal power into appropriate consideration. In contrast, the presence of strong signal power increases in some frequency bands over the course of sleep deprivation may falsely indicate LRTC changes that do not reflect the underlying long-range temporal correlation structure. Our results demonstrate the importance of sleep to maintain LRTCs in the human brain. In complex networks, LRTCs naturally emerge in the vicinity of a critical state. The observation of declining LRTCs during wake thus provides additional support for our hypothesis that sleep reorganizes cortical networks towards critical dynamics for optimal functioning. Nature Publishing Group UK 2017-09-19 /pmc/articles/PMC5605531/ /pubmed/28928479 http://dx.doi.org/10.1038/s41598-017-12140-w Text en © The Author(s) 2017 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Meisel, Christian Bailey, Kimberlyn Achermann, Peter Plenz, Dietmar Decline of long-range temporal correlations in the human brain during sustained wakefulness |
title | Decline of long-range temporal correlations in the human brain during sustained wakefulness |
title_full | Decline of long-range temporal correlations in the human brain during sustained wakefulness |
title_fullStr | Decline of long-range temporal correlations in the human brain during sustained wakefulness |
title_full_unstemmed | Decline of long-range temporal correlations in the human brain during sustained wakefulness |
title_short | Decline of long-range temporal correlations in the human brain during sustained wakefulness |
title_sort | decline of long-range temporal correlations in the human brain during sustained wakefulness |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5605531/ https://www.ncbi.nlm.nih.gov/pubmed/28928479 http://dx.doi.org/10.1038/s41598-017-12140-w |
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