Literature DB >> 22698663

A system utilizing radio frequency identification (RFID) technology to monitor individual rodent behavior in complex social settings.

Christopher L Howerton1, Joseph P Garner, Joy A Mench.   

Abstract

Pre-clinical investigation of human CNS disorders relies heavily on mouse models. However these show low predictive validity for translational success to humans, partly due to the extensive use of rapid, high-throughput behavioral assays. Improved assays to monitor rodent behavior over longer time scales in a variety of contexts while still maintaining the efficiency of data collection associated with high-throughput assays are needed. We developed an apparatus that uses radio frequency identification device (RFID) technology to facilitate long-term automated monitoring of the behavior of mice in socially or structurally complex cage environments. Mice that were individually marked and implanted with transponders were placed in pairs in the apparatus, and their locations continuously tracked for 24 h. Video observation was used to validate the RFID readings. The apparatus and its associated software accurately tracked the locations of all mice, yielding information about each mouse's location over time, its diel activity patterns, and the amount of time it was in the same location as the other mouse in the pair. The information that can be efficiently collected in this apparatus has a variety of applications for pre-clinical research on human CNS disorders, for example major depressive disorder and autism spectrum disorder, in that it can be used to quantify validated endophenotypes or biomarkers of these disorders using rodent models. While the specific configuration of the apparatus described here was designed to answer particular experimental questions, it can be modified in various ways to accommodate different experimental designs.
Copyright © 2012 Elsevier B.V. All rights reserved.

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Mesh:

Year:  2012        PMID: 22698663     DOI: 10.1016/j.jneumeth.2012.06.001

Source DB:  PubMed          Journal:  J Neurosci Methods        ISSN: 0165-0270            Impact factor:   2.390


  7 in total

1.  Fighting in the home cage: Agonistic encounters and effects on neurobiological markers within the social decision-making network of house mice (Mus musculus).

Authors:  Gian D Greenberg; Chris L Howerton; Brian C Trainor
Journal:  Neurosci Lett       Date:  2014-03-03       Impact factor: 3.046

Review 2.  Blueprints for measuring natural behavior.

Authors:  Alicja Puścian; Ewelina Knapska
Journal:  iScience       Date:  2022-06-18

Review 3.  Measuring Locomotor Activity and Behavioral Aspects of Rodents Living in the Home-Cage.

Authors:  Christian J M I Klein; Thomas Budiman; Judith R Homberg; Dilip Verma; Jaap Keijer; Evert M van Schothorst
Journal:  Front Behav Neurosci       Date:  2022-04-07       Impact factor: 3.617

4.  Co-housing rodents with different coat colours as a simple, non-invasive means of individual identification: validating mixed-strain housing for C57BL/6 and DBA/2 mice.

Authors:  Michael Walker; Carole Fureix; Rupert Palme; Georgia Mason
Journal:  PLoS One       Date:  2013-10-28       Impact factor: 3.240

5.  Eco-HAB as a fully automated and ecologically relevant assessment of social impairments in mouse models of autism.

Authors:  Alicja Puścian; Szymon Łęski; Grzegorz Kasprowicz; Maciej Winiarski; Joanna Borowska; Tomasz Nikolaev; Paweł M Boguszewski; Hans-Peter Lipp; Ewelina Knapska
Journal:  Elife       Date:  2016-10-12       Impact factor: 8.140

6.  Automated recording of home cage activity and temperature of individual rats housed in social groups: The Rodent Big Brother project.

Authors:  William S Redfern; Karen Tse; Claire Grant; Amy Keerie; David J Simpson; John C Pedersen; Victoria Rimmer; Lauren Leslie; Stephanie K Klein; Natasha A Karp; Rowland Sillito; Agis Chartsias; Tim Lukins; James Heward; Catherine Vickers; Kathryn Chapman; J Douglas Armstrong
Journal:  PLoS One       Date:  2017-09-06       Impact factor: 3.240

7.  An open source device for operant licking in rats.

Authors:  Matthew Longley; Ethan L Willis; Cindy X Tay; Hao Chen
Journal:  PeerJ       Date:  2017-02-14       Impact factor: 2.984

  7 in total

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