Literature DB >> 29197617

3-D motion capture for long-term tracking of spontaneous locomotor behaviors and circadian sleep/wake rhythms in mouse.

Melissa Sourioux1, Emma Bestaven1, Etienne Guillaud1, Sandrine Bertrand1, Magali Cabanas1, Lea Milan1, Willy Mayo1, Maurice Garret1, Jean-René Cazalets2.   

Abstract

BACKGROUND: Locomotor activity provides an index of an animal's behavioral state. Here, we report a reliable and cost-effective method that allows long-term (days to months) simultaneous tracking of locomotion in mouse cohorts (here consisting of 24 animals). NEW
METHOD: The technique is based on a motion capture system used mainly for human movement study. A reflective marker was placed on the head of each mouse using a surgical procedure and labeled animals were returned to their individual home cages. Camera-recorded data of marker displacement resulting from locomotor movements were then analyzed with custom built software. To avoid any data loss, data files were saved every hour and automatically concatenated. Long-term recordings (up to 3 months) with high spatial (<1mm) and temporal (up to 100Hz) resolution of animal movements were obtained.
RESULTS: The system was validated by analyzing the spontaneous activity of mice from post-natal day 30-90. Daily motor activity increased up to 70days in correspondence with maturational changes in locomotor performance. The recorded actigrams also permitted analysis of circadian and ultradian rhythms in cohort sleep/wake behavior. COMPARISON WITH EXISTING METHOD(S): In contrast to traditional session-based experimental approaches, our technique allows locomotor activity to be recorded with minimal experimenter manipulation, thereby minimizing animal stress.
CONCLUSIONS: Our method enables the continuous long-term (up to several months) monitoring of tens of animals, generating manageable amounts of data at minimal costs without requiring individual dedicated devices. The actigraphic data collected allows circadian and ultradian analysis of sleep/wake behaviors to be performed.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Actigraphy; Circadian; Cohort; Locomotion; Sleep; Tracking

Mesh:

Year:  2017        PMID: 29197617     DOI: 10.1016/j.jneumeth.2017.11.016

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


  1 in total

1.  MouseVenue3D: A Markerless Three-Dimension Behavioral Tracking System for Matching Two-Photon Brain Imaging in Free-Moving Mice.

Authors:  Yaning Han; Kang Huang; Ke Chen; Hongli Pan; Furong Ju; Yueyue Long; Gao Gao; Runlong Wu; Aimin Wang; Liping Wang; Pengfei Wei
Journal:  Neurosci Bull       Date:  2021-10-12       Impact factor: 5.203

  1 in total

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