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Automated Behavioral Experiments in Mice Reveal Periodic Cycles of Task Engagement within Circadian Rhythms
High-throughput automated experiments accelerate discovery in neuroscience research and reduce bias. To enable high-throughput behavioral experiments, we developed a user-friendly and scalable automated system that can simultaneously train hundreds of mice on behavioral tasks, with time-stamped beha...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Society for Neuroscience
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6775758/ https://www.ncbi.nlm.nih.gov/pubmed/31488550 http://dx.doi.org/10.1523/ENEURO.0121-19.2019 |
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author | Francis, Nikolas A. Bohlke, Kayla Kanold, Patrick O. |
author_facet | Francis, Nikolas A. Bohlke, Kayla Kanold, Patrick O. |
author_sort | Francis, Nikolas A. |
collection | PubMed |
description | High-throughput automated experiments accelerate discovery in neuroscience research and reduce bias. To enable high-throughput behavioral experiments, we developed a user-friendly and scalable automated system that can simultaneously train hundreds of mice on behavioral tasks, with time-stamped behavioral information recorded continuously for weeks. We trained 12 cages of C57BL/6J mice (24 mice, 2 mice/cage) to perform auditory behavioral tasks. We found that circadian rhythms modulated overall behavioral activity as expected for nocturnal animals. However, auditory detection and discrimination accuracy remained consistently high in both light and dark cycles. We also found a periodic modulation of behavioral response rates only during the discrimination task, suggesting that the mice periodically reduce task engagement (i.e., take “breaks”) when task difficulty increases due to the more complex stimulus–response paradigm for discrimination versus detection. Our results highlight how automated systems for continuous high-throughput behavioral experiments enable both efficient data collection and new observations on animal behavior. |
format | Online Article Text |
id | pubmed-6775758 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Society for Neuroscience |
record_format | MEDLINE/PubMed |
spelling | pubmed-67757582019-10-04 Automated Behavioral Experiments in Mice Reveal Periodic Cycles of Task Engagement within Circadian Rhythms Francis, Nikolas A. Bohlke, Kayla Kanold, Patrick O. eNeuro Methods/New Tools High-throughput automated experiments accelerate discovery in neuroscience research and reduce bias. To enable high-throughput behavioral experiments, we developed a user-friendly and scalable automated system that can simultaneously train hundreds of mice on behavioral tasks, with time-stamped behavioral information recorded continuously for weeks. We trained 12 cages of C57BL/6J mice (24 mice, 2 mice/cage) to perform auditory behavioral tasks. We found that circadian rhythms modulated overall behavioral activity as expected for nocturnal animals. However, auditory detection and discrimination accuracy remained consistently high in both light and dark cycles. We also found a periodic modulation of behavioral response rates only during the discrimination task, suggesting that the mice periodically reduce task engagement (i.e., take “breaks”) when task difficulty increases due to the more complex stimulus–response paradigm for discrimination versus detection. Our results highlight how automated systems for continuous high-throughput behavioral experiments enable both efficient data collection and new observations on animal behavior. Society for Neuroscience 2019-09-17 /pmc/articles/PMC6775758/ /pubmed/31488550 http://dx.doi.org/10.1523/ENEURO.0121-19.2019 Text en Copyright © 2019 Francis et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution and reproduction in any medium provided that the original work is properly attributed. |
spellingShingle | Methods/New Tools Francis, Nikolas A. Bohlke, Kayla Kanold, Patrick O. Automated Behavioral Experiments in Mice Reveal Periodic Cycles of Task Engagement within Circadian Rhythms |
title | Automated Behavioral Experiments in Mice Reveal Periodic Cycles of Task Engagement within Circadian Rhythms |
title_full | Automated Behavioral Experiments in Mice Reveal Periodic Cycles of Task Engagement within Circadian Rhythms |
title_fullStr | Automated Behavioral Experiments in Mice Reveal Periodic Cycles of Task Engagement within Circadian Rhythms |
title_full_unstemmed | Automated Behavioral Experiments in Mice Reveal Periodic Cycles of Task Engagement within Circadian Rhythms |
title_short | Automated Behavioral Experiments in Mice Reveal Periodic Cycles of Task Engagement within Circadian Rhythms |
title_sort | automated behavioral experiments in mice reveal periodic cycles of task engagement within circadian rhythms |
topic | Methods/New Tools |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6775758/ https://www.ncbi.nlm.nih.gov/pubmed/31488550 http://dx.doi.org/10.1523/ENEURO.0121-19.2019 |
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