A functional linear modeling approach to sleep–wake cycles in dogs

Abstract The study of companion (pet) dogs is an area of great translational potential, as they share a risk for many conditions that afflict humans. Among these are conditions that affect sleep, including chronic pain and cognitive dysfunction. Significant advancements have occurred in the ability...

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Autores principales:	Hope J. Woods, Ming Fei Li, Ujas A. Patel, B. Duncan X. Lascelles, David R. Samson, Margaret E. Gruen
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2020
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/16e4482d154449d5bb9f8692ec5eb1d3
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spelling	oai:doaj.org-article:16e4482d154449d5bb9f8692ec5eb1d32021-12-02T12:40:41ZA functional linear modeling approach to sleep–wake cycles in dogs10.1038/s41598-020-79274-22045-2322https://doaj.org/article/16e4482d154449d5bb9f8692ec5eb1d32020-12-01T00:00:00Zhttps://doi.org/10.1038/s41598-020-79274-2https://doaj.org/toc/2045-2322Abstract The study of companion (pet) dogs is an area of great translational potential, as they share a risk for many conditions that afflict humans. Among these are conditions that affect sleep, including chronic pain and cognitive dysfunction. Significant advancements have occurred in the ability to study sleep in dogs, including development of non-invasive polysomnography; however, basic understanding of dog sleep patterns remains poorly characterized. The purpose of this study was to establish baseline sleep–wake cycle and activity patterns using actigraphy and functional linear modeling (FLM), for healthy, adult companion dogs. Forty-two dogs were enrolled and wore activity monitors for 14 days. FLM demonstrated a bimodal pattern of activity with significant effects of sex, body mass, and age; the effect of age was particularly evident during the times of peak activity. This study demonstrated that FLM can be used to describe normal sleep–wake cycles of healthy adult dogs and the effects of physiologic traits on these patterns of activity. This foundation makes it possible to characterize deviations from normal patterns, including those associated with chronic pain and cognitive dysfunction syndrome. This can improve detection of these conditions in dogs, benefitting them and their potential as models for human disease.Hope J. WoodsMing Fei LiUjas A. PatelB. Duncan X. LascellesDavid R. SamsonMargaret E. GruenNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 10, Iss 1, Pp 1-8 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Hope J. Woods Ming Fei Li Ujas A. Patel B. Duncan X. Lascelles David R. Samson Margaret E. Gruen A functional linear modeling approach to sleep–wake cycles in dogs
description	Abstract The study of companion (pet) dogs is an area of great translational potential, as they share a risk for many conditions that afflict humans. Among these are conditions that affect sleep, including chronic pain and cognitive dysfunction. Significant advancements have occurred in the ability to study sleep in dogs, including development of non-invasive polysomnography; however, basic understanding of dog sleep patterns remains poorly characterized. The purpose of this study was to establish baseline sleep–wake cycle and activity patterns using actigraphy and functional linear modeling (FLM), for healthy, adult companion dogs. Forty-two dogs were enrolled and wore activity monitors for 14 days. FLM demonstrated a bimodal pattern of activity with significant effects of sex, body mass, and age; the effect of age was particularly evident during the times of peak activity. This study demonstrated that FLM can be used to describe normal sleep–wake cycles of healthy adult dogs and the effects of physiologic traits on these patterns of activity. This foundation makes it possible to characterize deviations from normal patterns, including those associated with chronic pain and cognitive dysfunction syndrome. This can improve detection of these conditions in dogs, benefitting them and their potential as models for human disease.
format	article
author	Hope J. Woods Ming Fei Li Ujas A. Patel B. Duncan X. Lascelles David R. Samson Margaret E. Gruen
author_facet	Hope J. Woods Ming Fei Li Ujas A. Patel B. Duncan X. Lascelles David R. Samson Margaret E. Gruen
author_sort	Hope J. Woods
title	A functional linear modeling approach to sleep–wake cycles in dogs
title_short	A functional linear modeling approach to sleep–wake cycles in dogs
title_full	A functional linear modeling approach to sleep–wake cycles in dogs
title_fullStr	A functional linear modeling approach to sleep–wake cycles in dogs
title_full_unstemmed	A functional linear modeling approach to sleep–wake cycles in dogs
title_sort	functional linear modeling approach to sleep–wake cycles in dogs
publisher	Nature Portfolio
publishDate	2020
url	https://doaj.org/article/16e4482d154449d5bb9f8692ec5eb1d3
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A functional linear modeling approach to sleep–wake cycles in dogs

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