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Sub-minute prediction of brain temperature based on sleep–wake state in the mouse
Although brain temperature has neurobiological and clinical importance, it remains unclear which factors contribute to its daily dynamics and to what extent. Using a statistical approach, we previously demonstrated that hourly brain temperature values co-varied strongly with time spent awake (Hoekst...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
eLife Sciences Publications, Ltd
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7939547/ https://www.ncbi.nlm.nih.gov/pubmed/33683202 http://dx.doi.org/10.7554/eLife.62073 |
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author | Sela, Yaniv Hoekstra, Marieke MB Franken, Paul |
author_facet | Sela, Yaniv Hoekstra, Marieke MB Franken, Paul |
author_sort | Sela, Yaniv |
collection | PubMed |
description | Although brain temperature has neurobiological and clinical importance, it remains unclear which factors contribute to its daily dynamics and to what extent. Using a statistical approach, we previously demonstrated that hourly brain temperature values co-varied strongly with time spent awake (Hoekstra et al., 2019). Here we develop and make available a mathematical tool to simulate and predict cortical temperature in mice based on a 4-s sleep–wake sequence. Our model estimated cortical temperature with remarkable precision and accounted for 91% of the variance based on three factors: sleep–wake sequence, time-of-day (‘circadian’), and a novel ‘prior wake prevalence’ factor, contributing with 74%, 9%, and 43%, respectively (including shared variance). We applied these optimized parameters to an independent cohort of mice and predicted cortical temperature with similar accuracy. This model confirms the profound influence of sleep–wake state on brain temperature, and can be harnessed to differentiate between thermoregulatory and sleep–wake-driven effects in experiments affecting both. |
format | Online Article Text |
id | pubmed-7939547 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | eLife Sciences Publications, Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-79395472021-03-10 Sub-minute prediction of brain temperature based on sleep–wake state in the mouse Sela, Yaniv Hoekstra, Marieke MB Franken, Paul eLife Computational and Systems Biology Although brain temperature has neurobiological and clinical importance, it remains unclear which factors contribute to its daily dynamics and to what extent. Using a statistical approach, we previously demonstrated that hourly brain temperature values co-varied strongly with time spent awake (Hoekstra et al., 2019). Here we develop and make available a mathematical tool to simulate and predict cortical temperature in mice based on a 4-s sleep–wake sequence. Our model estimated cortical temperature with remarkable precision and accounted for 91% of the variance based on three factors: sleep–wake sequence, time-of-day (‘circadian’), and a novel ‘prior wake prevalence’ factor, contributing with 74%, 9%, and 43%, respectively (including shared variance). We applied these optimized parameters to an independent cohort of mice and predicted cortical temperature with similar accuracy. This model confirms the profound influence of sleep–wake state on brain temperature, and can be harnessed to differentiate between thermoregulatory and sleep–wake-driven effects in experiments affecting both. eLife Sciences Publications, Ltd 2021-03-08 /pmc/articles/PMC7939547/ /pubmed/33683202 http://dx.doi.org/10.7554/eLife.62073 Text en © 2021, Sela et al http://creativecommons.org/licenses/by/4.0/ http://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited. |
spellingShingle | Computational and Systems Biology Sela, Yaniv Hoekstra, Marieke MB Franken, Paul Sub-minute prediction of brain temperature based on sleep–wake state in the mouse |
title | Sub-minute prediction of brain temperature based on sleep–wake state in the mouse |
title_full | Sub-minute prediction of brain temperature based on sleep–wake state in the mouse |
title_fullStr | Sub-minute prediction of brain temperature based on sleep–wake state in the mouse |
title_full_unstemmed | Sub-minute prediction of brain temperature based on sleep–wake state in the mouse |
title_short | Sub-minute prediction of brain temperature based on sleep–wake state in the mouse |
title_sort | sub-minute prediction of brain temperature based on sleep–wake state in the mouse |
topic | Computational and Systems Biology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7939547/ https://www.ncbi.nlm.nih.gov/pubmed/33683202 http://dx.doi.org/10.7554/eLife.62073 |
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