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Temporal organization of rest defined by actigraphy data in healthy and childhood chronic fatigue syndrome children

BACKGROUND: Accumulating evidence has shown a universality in the temporal organization of activity and rest among animals ranging from mammals to insects. Previous reports in both humans and mice showed that rest bout durations followed long-tailed (i.e., power-law) distributions, whereas activity...

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Autores principales: Kawabata, Minako, Ueno, Taro, Tomita, Jun, Kawatani, Junko, Tomoda, Akemi, Kume, Shoen, Kume, Kazuhiko
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4228315/
https://www.ncbi.nlm.nih.gov/pubmed/24188379
http://dx.doi.org/10.1186/1471-244X-13-281
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author Kawabata, Minako
Ueno, Taro
Tomita, Jun
Kawatani, Junko
Tomoda, Akemi
Kume, Shoen
Kume, Kazuhiko
author_facet Kawabata, Minako
Ueno, Taro
Tomita, Jun
Kawatani, Junko
Tomoda, Akemi
Kume, Shoen
Kume, Kazuhiko
author_sort Kawabata, Minako
collection PubMed
description BACKGROUND: Accumulating evidence has shown a universality in the temporal organization of activity and rest among animals ranging from mammals to insects. Previous reports in both humans and mice showed that rest bout durations followed long-tailed (i.e., power-law) distributions, whereas activity bouts followed exponential distributions. We confirmed similar results in the fruit fly, Drosophila melanogaster. Conversely, another report showed that the awakening bout durations, which were defined by polysomnography in bed, followed power-law distributions, while sleeping periods, which may correspond to rest, followed exponential distributions. This apparent discrepancy has been left to be resolved. METHODS: Actigraphy data from healthy and disordered children were analyzed separately for two periods: time out of bed (UP period) and time in bed (DOWN period). RESULTS: When data over a period of 24 h were analyzed as a whole, rest bouts showed a power law distribution as previously reported. However, when UP and DOWN period data were analyzed separately, neither showed power law properties. Using a newly developed strict method, only 30% of individuals satisfied the power law criteria, even when the 24 h data were analyzed. The human results were in contrast to the Drosophila results, which revealed clear power-law distributions for both day time and night time rest through the use of a strict method. In addition, we analyzed the actigraphy data from patients with childhood type chronic fatigue syndrome (CCFS), and found that they showed differences from healthy controls when their UP and DOWN data were analyzed separately. CONCLUSIONS: These results suggested that the DOWN sleep, the bout distribution of which showed exponential properties, contributes to the production of long-tail distributions in human rest periods. We propose that separate analysis of UP and DOWN period data is important for understanding the temporal organization of activity.
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spelling pubmed-42283152014-11-13 Temporal organization of rest defined by actigraphy data in healthy and childhood chronic fatigue syndrome children Kawabata, Minako Ueno, Taro Tomita, Jun Kawatani, Junko Tomoda, Akemi Kume, Shoen Kume, Kazuhiko BMC Psychiatry Research Article BACKGROUND: Accumulating evidence has shown a universality in the temporal organization of activity and rest among animals ranging from mammals to insects. Previous reports in both humans and mice showed that rest bout durations followed long-tailed (i.e., power-law) distributions, whereas activity bouts followed exponential distributions. We confirmed similar results in the fruit fly, Drosophila melanogaster. Conversely, another report showed that the awakening bout durations, which were defined by polysomnography in bed, followed power-law distributions, while sleeping periods, which may correspond to rest, followed exponential distributions. This apparent discrepancy has been left to be resolved. METHODS: Actigraphy data from healthy and disordered children were analyzed separately for two periods: time out of bed (UP period) and time in bed (DOWN period). RESULTS: When data over a period of 24 h were analyzed as a whole, rest bouts showed a power law distribution as previously reported. However, when UP and DOWN period data were analyzed separately, neither showed power law properties. Using a newly developed strict method, only 30% of individuals satisfied the power law criteria, even when the 24 h data were analyzed. The human results were in contrast to the Drosophila results, which revealed clear power-law distributions for both day time and night time rest through the use of a strict method. In addition, we analyzed the actigraphy data from patients with childhood type chronic fatigue syndrome (CCFS), and found that they showed differences from healthy controls when their UP and DOWN data were analyzed separately. CONCLUSIONS: These results suggested that the DOWN sleep, the bout distribution of which showed exponential properties, contributes to the production of long-tail distributions in human rest periods. We propose that separate analysis of UP and DOWN period data is important for understanding the temporal organization of activity. BioMed Central 2013-11-04 /pmc/articles/PMC4228315/ /pubmed/24188379 http://dx.doi.org/10.1186/1471-244X-13-281 Text en Copyright © 2013 Kawabata et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Kawabata, Minako
Ueno, Taro
Tomita, Jun
Kawatani, Junko
Tomoda, Akemi
Kume, Shoen
Kume, Kazuhiko
Temporal organization of rest defined by actigraphy data in healthy and childhood chronic fatigue syndrome children
title Temporal organization of rest defined by actigraphy data in healthy and childhood chronic fatigue syndrome children
title_full Temporal organization of rest defined by actigraphy data in healthy and childhood chronic fatigue syndrome children
title_fullStr Temporal organization of rest defined by actigraphy data in healthy and childhood chronic fatigue syndrome children
title_full_unstemmed Temporal organization of rest defined by actigraphy data in healthy and childhood chronic fatigue syndrome children
title_short Temporal organization of rest defined by actigraphy data in healthy and childhood chronic fatigue syndrome children
title_sort temporal organization of rest defined by actigraphy data in healthy and childhood chronic fatigue syndrome children
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4228315/
https://www.ncbi.nlm.nih.gov/pubmed/24188379
http://dx.doi.org/10.1186/1471-244X-13-281
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