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

Melissa Sourioux, Emma Bestaven, Etienne Guillaud, Sandrine Bertrand, Magali Cabanas, Lea Milan, Willy Mayo, Maurice Garret, Jean-René Cazalets
Journal of Neuroscience Methods. 2018-02-01; 295: 51-57
DOI: 10.1016/j.jneumeth.2017.11.016

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1. J Neurosci Methods. 2018 Feb 1;295:51-57. doi: 10.1016/j.jneumeth.2017.11.016.
Epub 2017 Nov 29.

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

Sourioux M(1), Bestaven E(1), Guillaud E(1), Bertrand S(1), Cabanas M(1), Milan
L(1), Mayo W(1), Garret M(1), Cazalets JR(2).

Author information:
(1)Université de Bordeaux, CNRS, Bordeaux, France.
(2)Université de Bordeaux, CNRS, Bordeaux, France. Electronic address:
.

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 (

Auteurs Bordeaux Neurocampus