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Sleep Depth Enhancement Through Ambient Temperature Manipulation in Mice

Producción científica: Conference contributionrevisión exhaustiva

2 Citas (Scopus)

Resumen

The restorative properties of deep sleep and its central role in learning and memory are well-recognized but still in the process of being elucidated with the help of animal models. Currently available approaches for deep sleep enhancement are mainly pharmacological and may have undesirable side effects on physiology and behavior. Here, we propose a simple strategy for sleep depth enhancement that involves manipulation of ambient temperature (Ta) using a closed-loop control system. Even mild shifts in Ta are known to evoke thermoregulatory responses that alter sleep-wake dynamics. In our experiments, mice evinced greater proportions of deep NREM sleep as well as REM sleep under the dynamic sleep depth modulation protocol compared to a reference baseline in which Ta was left unchanged. The active manipulation approach taken in this study could be used as a more natural means for enhancing deep sleep in patients with disorders like epilepsy, Alzheimer's disease and Parkinson's, in which poor quality sleep is common and associated with adverse outcomes.

Idioma originalEnglish
Título de la publicación alojada40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018
Páginas1392-1395
Número de páginas4
ISBN (versión digital)9781538636466
DOI
EstadoPublished - oct 26 2018
Evento40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018 - Honolulu, United States
Duración: jul 18 2018jul 21 2018

Serie de la publicación

NombreProceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
Volumen2018-July
ISSN (versión impresa)1557-170X

Conference

Conference40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018
País/TerritorioUnited States
CiudadHonolulu
Período7/18/187/21/18

Nota bibliográfica

Publisher Copyright:
© 2018 IEEE.

Financiación

This work was supported by National Institutes of Health grant NS083218. A.A., F.Y., D.H., and S.S. are with the Department of Biomedical Engineering, and B.F.O. is with the Department of Biology, all at the University of Kentucky. A.A. is also affiliated with the College of Medicine, Diyala University, Diyala, Iraq. *Address correspondence to: Sridhar Sunderam, Ph.D. (Phone: 859-257-5796; Fax: 859-257-1856; e-mail: [email protected]).

FinanciadoresNúmero del financiador
National Institutes of Health (NIH)NS083218
National Institutes of Health (NIH)

    ASJC Scopus subject areas

    • Signal Processing
    • Biomedical Engineering
    • Computer Vision and Pattern Recognition
    • Health Informatics

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