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Timing of activities of daily life is jaggy: How episodic ultradian changes in body and brain temperature are integrated into this process
Charles Darwin noted that natural selection applies even to the hourly organization of daily life. Indeed, in many species, the day is segmented into active periods when the animal searches for food, and inactive periods when the animal digests and rests. This episodic temporal patterning is convent...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Taylor & Francis
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5079224/ https://www.ncbi.nlm.nih.gov/pubmed/28349079 http://dx.doi.org/10.1080/23328940.2016.1177159 |
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author | Blessing, William Ootsuka, Youichirou |
author_facet | Blessing, William Ootsuka, Youichirou |
author_sort | Blessing, William |
collection | PubMed |
description | Charles Darwin noted that natural selection applies even to the hourly organization of daily life. Indeed, in many species, the day is segmented into active periods when the animal searches for food, and inactive periods when the animal digests and rests. This episodic temporal patterning is conventionally referred to as ultradian (<24 hours) rhythmicity. The average time between ultradian events is approximately 1–2 hours, but the interval is highly variable. The ultradian pattern is stochastic, jaggy rather than smooth, so that although the next event is likely to occur within 1–2 hours, it is not possible to predict the precise timing. When models of circadian timing are applied to the ultradian temporal pattern, the underlying assumption of true periodicity (stationarity) has distorted the analyses, so that the ultradian pattern is frequently averaged away and ignored. Each active ultradian episode commences with an increase in hippocampal theta rhythm, indicating the switch of attention to the external environment. During each active episode, behavioral and physiological processes, including changes in body and brain temperature, occur in an integrated temporal order, confirming organization by programs endogenous to the central nervous system. We describe methods for analyzing episodic ultradian events, including the use of wavelet mathematics to determine their timing and amplitude, and the use of fractal-based procedures to determine their complexity. |
format | Online Article Text |
id | pubmed-5079224 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Taylor & Francis |
record_format | MEDLINE/PubMed |
spelling | pubmed-50792242017-03-27 Timing of activities of daily life is jaggy: How episodic ultradian changes in body and brain temperature are integrated into this process Blessing, William Ootsuka, Youichirou Temperature (Austin) Method Article Charles Darwin noted that natural selection applies even to the hourly organization of daily life. Indeed, in many species, the day is segmented into active periods when the animal searches for food, and inactive periods when the animal digests and rests. This episodic temporal patterning is conventionally referred to as ultradian (<24 hours) rhythmicity. The average time between ultradian events is approximately 1–2 hours, but the interval is highly variable. The ultradian pattern is stochastic, jaggy rather than smooth, so that although the next event is likely to occur within 1–2 hours, it is not possible to predict the precise timing. When models of circadian timing are applied to the ultradian temporal pattern, the underlying assumption of true periodicity (stationarity) has distorted the analyses, so that the ultradian pattern is frequently averaged away and ignored. Each active ultradian episode commences with an increase in hippocampal theta rhythm, indicating the switch of attention to the external environment. During each active episode, behavioral and physiological processes, including changes in body and brain temperature, occur in an integrated temporal order, confirming organization by programs endogenous to the central nervous system. We describe methods for analyzing episodic ultradian events, including the use of wavelet mathematics to determine their timing and amplitude, and the use of fractal-based procedures to determine their complexity. Taylor & Francis 2016-04-29 /pmc/articles/PMC5079224/ /pubmed/28349079 http://dx.doi.org/10.1080/23328940.2016.1177159 Text en © 2016 The Author(s). Published with license by Taylor & Francis Group, LLC http://creativecommons.org/licenses/by-nc/3.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution-Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. The moral rights of the named author(s) have been asserted. |
spellingShingle | Method Article Blessing, William Ootsuka, Youichirou Timing of activities of daily life is jaggy: How episodic ultradian changes in body and brain temperature are integrated into this process |
title | Timing of activities of daily life is jaggy: How episodic ultradian changes in body and brain temperature are integrated into this process |
title_full | Timing of activities of daily life is jaggy: How episodic ultradian changes in body and brain temperature are integrated into this process |
title_fullStr | Timing of activities of daily life is jaggy: How episodic ultradian changes in body and brain temperature are integrated into this process |
title_full_unstemmed | Timing of activities of daily life is jaggy: How episodic ultradian changes in body and brain temperature are integrated into this process |
title_short | Timing of activities of daily life is jaggy: How episodic ultradian changes in body and brain temperature are integrated into this process |
title_sort | timing of activities of daily life is jaggy: how episodic ultradian changes in body and brain temperature are integrated into this process |
topic | Method Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5079224/ https://www.ncbi.nlm.nih.gov/pubmed/28349079 http://dx.doi.org/10.1080/23328940.2016.1177159 |
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