A robust automated system elucidates mouse home cage behavioral structure

التفاصيل البيبلوغرافية
العنوان: A robust automated system elucidates mouse home cage behavioral structure
المؤلفون: A. Katrin Schenk, Laurence H. Tecott, Jennifer M. Wade, Adrienne W. MacKay, Evan H. Goulding, Punita Juneja
المصدر: Proceedings of the National Academy of Sciences. 105:20575-20582
بيانات النشر: Proceedings of the National Academy of Sciences, 2008.
سنة النشر: 2008
مصطلحات موضوعية: Male, Multidisciplinary, Behavior, Animal, Behavioral organization, Energy metabolism, Mice, Obese, Single gene, Biological Sciences, Biology, Bioinformatics, Mice, Commentary, Animals, Home cage, Female, Energy Metabolism, Neuroscience
الوصف: Patterns of behavior exhibited by mice in their home cages reflect the function and interaction of numerous behavioral and physiological systems. Detailed assessment of these patterns thus has the potential to provide a powerful tool for understanding basic aspects of behavioral regulation and their perturbation by disease processes. However, the capacity to identify and examine these patterns in terms of their discrete levels of organization across diverse behaviors has been difficult to achieve and automate. Here, we describe an automated approach for the quantitative characterization of fundamental behavioral elements and their patterns in the freely behaving mouse. We demonstrate the utility of this approach by identifying unique features of home cage behavioral structure and changes in distinct levels of behavioral organization in mice with single gene mutations altering energy balance. The robust, automated, reproducible quantification of mouse home cage behavioral structure detailed here should have wide applicability for the study of mammalian physiology, behavior, and disease.
تدمد: 1091-6490
0027-8424
DOI: 10.1073/pnas.0809053106
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8b9ac3f706d847f1f9c43b828bb2f28c
https://doi.org/10.1073/pnas.0809053106
Rights: OPEN
رقم الانضمام: edsair.doi.dedup.....8b9ac3f706d847f1f9c43b828bb2f28c
قاعدة البيانات: OpenAIRE
الوصف
تدمد:10916490
00278424
DOI:10.1073/pnas.0809053106