Mouse Behavior Tracker: An Economical Method for Tracking Behavior in Home Cages

Tungtur, Sudheer; Nishimune, Natsuko; Radel, Jeff; Nishimune, Hiroshi

doi:10.2144/000114607

Cited by 13 publications

(6 citation statements)

References 24 publications

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“…Use of a dedicated filming stage for rodents or insects allows for clear detection but potentially disturbs normal behaviour while further increasing barriers-to-entry 9 , but may be necessary for detection of behaviours such as grooming 10 . Alternatively, filming natural movement in the home cage currently requires a dedicated computer and cage setup 11 . Established institutions which focus on small animal behaviour may invest in such complex systems, however there are few methods available for researchers without dedicated infrastructure to easily and flexibly test for reproducible changes in movement or behaviour.…”

Section: Introductionmentioning

confidence: 99%

Small Animal Video Tracking for Activity and Path Analysis Using a Novel Open-Source Multi-Platform Application (AnimApp)

Rao

Olechnowicz

Krätschmer³

et al. 2019

Sci Rep

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Experimental biological model system outcomes such as altered animal movement capability or behaviour are difficult to quantify manually. Existing automatic movement tracking devices can be expensive and imposing upon the typical environment of the animal model. We have developed a novel multiplatform, free-to-use open-source application based on OpenCV, called AnimApp. Our results show that AnimApp can reliably and reproducibly track movement of small animals such as rodents or insects, and quantify parameters of action including distance and speed in order to detect activity changes arising from handling, environment enrichment, or temperature alteration. This system offers an accurate and reproducible experimental approach with potential for simple, fast and flexible analysis of movement and behaviour in a wide range of model systems.

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Section: Introductionmentioning

confidence: 99%

Small Animal Video Tracking for Activity and Path Analysis Using a Novel Open-Source Multi-Platform Application (AnimApp)

Rao

Olechnowicz

Krätschmer³

et al. 2019

Sci Rep

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show abstract

“…Currently, there are a number of resources available. However, these options are expensive (e.g., Ethovision; Noldus et al, 2001 ; Aragão et al, 2011 ) or are limited to the evaluation of a few number of parameters (e.g., only measuring locomotion activities (Tort et al, 2006 ; Freeman and Ambady, 2010 ; Crispim Junior et al, 2012 ; Kabra et al, 2013 ; Pérez-Escudero et al, 2014 ; Samson et al, 2015 ; Ben-Shaul, 2017 ; Tungtur et al, 2017 ). Here, we show that MouBeAT is not only an excellent free tracking method for different tasks but also a very specialized toolbox capable of assessing several variables required to evaluate multiple behavior tests.…”

Section: Discussionmentioning

confidence: 99%

MouBeAT: A New and Open Toolbox for Guided Analysis of Behavioral Tests in Mice

Bello-Arroyo

Roque

Marcos

et al. 2018

Front. Behav. Neurosci.

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Animal behavioral tests are essential to understand the bases of neurologic and psychological disorders, which can be evaluated by different methodological and experimental models. However, the quantification of behavioral tests results is limited by the considerable amount of time needed for manual evaluation and the high costs of automated analysis software. To overcome these limitations, we describe here a new, open source toolbox for ImageJ, called Mouse Behavioral Analysis Toolbox (MouBeAT), designed to analyze different behavioral tests in rodents semi-automatically. These tests include Open Field (OF), Elevated Plus Maze (EPM), Y-maze (YM) test and Morris Water Maze (MWM). MouBeAT showed a high correlation with manual evaluation in all the parameters analyzed for all the behavioral tests, reinforcing its value as an accurate analysis tool. This new tool is freely available online.

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“…Total traveled distance and average speed of movement during habituation were quantified using an ImageJ plugin wrMTrck ( 84 , 85 ). A custom-made Java script was used to trace the movement of females.…”

Section: Methodsmentioning

confidence: 99%

Prolactin-sensitive olfactory sensory neurons regulate male preference in female mice by modulating responses to chemosensory cues

et al. 2021

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Chemosensory cues detected in the nose need to be integrated with the hormonal status to trigger appropriate behaviors, but the neural circuits linking the olfactory and the endocrine system are insufficiently understood. Here, we characterize olfactory sensory neurons in the murine nose that respond to the pituitary hormone prolactin. Deletion of prolactin receptor in these cells results in impaired detection of social odors and blunts male preference in females. The prolactin-responsive olfactory sensory neurons exhibit a distinctive projection pattern to the brain that is similar across different individuals and express a limited subset of chemosensory receptors. Prolactin modulates the responses within these neurons to discrete chemosensory cues contained in male urine, providing a mechanism by which the hormonal status can be directly linked with distinct olfactory cues to generate appropriate behavioral responses.

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Mouse Behavior Tracker: An Economical Method for Tracking Behavior in Home Cages

Cited by 13 publications

References 24 publications

Small Animal Video Tracking for Activity and Path Analysis Using a Novel Open-Source Multi-Platform Application (AnimApp)

Small Animal Video Tracking for Activity and Path Analysis Using a Novel Open-Source Multi-Platform Application (AnimApp)

MouBeAT: A New and Open Toolbox for Guided Analysis of Behavioral Tests in Mice

Prolactin-sensitive olfactory sensory neurons regulate male preference in female mice by modulating responses to chemosensory cues

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