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An 8-cage imaging system for automated analyses of mouse behavior
The analysis of mouse behavior is used in biomedical research to study brain function in health and disease. Well-established rapid assays allow for high-throughput analyses of behavior but have several drawbacks, including measurements of daytime behaviors in nocturnal animals, effects of animal ha...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10199054/ https://www.ncbi.nlm.nih.gov/pubmed/37208415 http://dx.doi.org/10.1038/s41598-023-35322-1 |
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author | Del Rosario Hernández, Thaís Joshi, Narendra R. Gore, Sayali V. Kreiling, Jill A. Creton, Robbert |
author_facet | Del Rosario Hernández, Thaís Joshi, Narendra R. Gore, Sayali V. Kreiling, Jill A. Creton, Robbert |
author_sort | Del Rosario Hernández, Thaís |
collection | PubMed |
description | The analysis of mouse behavior is used in biomedical research to study brain function in health and disease. Well-established rapid assays allow for high-throughput analyses of behavior but have several drawbacks, including measurements of daytime behaviors in nocturnal animals, effects of animal handling, and the lack of an acclimation period in the testing apparatus. We developed a novel 8-cage imaging system, with animated visual stimuli, for automated analyses of mouse behavior in 22-h overnight recordings. Software for image analysis was developed in two open-source programs, ImageJ and DeepLabCut. The imaging system was tested using 4–5 month-old female wild-type mice and 3xTg-AD mice, a widely-used model to study Alzheimer’s disease (AD). The overnight recordings provided measurements of multiple behaviors including acclimation to the novel cage environment, day and nighttime activity, stretch-attend postures, location in various cage areas, and habituation to animated visual stimuli. The behavioral profiles were different in wild-type and 3xTg-AD mice. AD-model mice displayed reduced acclimation to the novel cage environment, were hyperactive during the first hour of darkness, and spent less time at home in comparison to wild-type mice. We propose that the imaging system may be used to study various neurological and neurodegenerative disorders, including Alzheimer’s disease. |
format | Online Article Text |
id | pubmed-10199054 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-101990542023-05-21 An 8-cage imaging system for automated analyses of mouse behavior Del Rosario Hernández, Thaís Joshi, Narendra R. Gore, Sayali V. Kreiling, Jill A. Creton, Robbert Sci Rep Article The analysis of mouse behavior is used in biomedical research to study brain function in health and disease. Well-established rapid assays allow for high-throughput analyses of behavior but have several drawbacks, including measurements of daytime behaviors in nocturnal animals, effects of animal handling, and the lack of an acclimation period in the testing apparatus. We developed a novel 8-cage imaging system, with animated visual stimuli, for automated analyses of mouse behavior in 22-h overnight recordings. Software for image analysis was developed in two open-source programs, ImageJ and DeepLabCut. The imaging system was tested using 4–5 month-old female wild-type mice and 3xTg-AD mice, a widely-used model to study Alzheimer’s disease (AD). The overnight recordings provided measurements of multiple behaviors including acclimation to the novel cage environment, day and nighttime activity, stretch-attend postures, location in various cage areas, and habituation to animated visual stimuli. The behavioral profiles were different in wild-type and 3xTg-AD mice. AD-model mice displayed reduced acclimation to the novel cage environment, were hyperactive during the first hour of darkness, and spent less time at home in comparison to wild-type mice. We propose that the imaging system may be used to study various neurological and neurodegenerative disorders, including Alzheimer’s disease. Nature Publishing Group UK 2023-05-19 /pmc/articles/PMC10199054/ /pubmed/37208415 http://dx.doi.org/10.1038/s41598-023-35322-1 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Del Rosario Hernández, Thaís Joshi, Narendra R. Gore, Sayali V. Kreiling, Jill A. Creton, Robbert An 8-cage imaging system for automated analyses of mouse behavior |
title | An 8-cage imaging system for automated analyses of mouse behavior |
title_full | An 8-cage imaging system for automated analyses of mouse behavior |
title_fullStr | An 8-cage imaging system for automated analyses of mouse behavior |
title_full_unstemmed | An 8-cage imaging system for automated analyses of mouse behavior |
title_short | An 8-cage imaging system for automated analyses of mouse behavior |
title_sort | 8-cage imaging system for automated analyses of mouse behavior |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10199054/ https://www.ncbi.nlm.nih.gov/pubmed/37208415 http://dx.doi.org/10.1038/s41598-023-35322-1 |
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