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Measuring Behavior in the Home Cage: Study Design, Applications, Challenges, and Perspectives.

Fabrizio Grieco1, Briana J Bernstein2, Barbara Biemans3

  • 1Noldus Information Technology BV, Wageningen, Netherlands.

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|October 11, 2021
PubMed
Summary
This summary is machine-generated.

Automated home-cage monitoring systems reduce human interference and improve reproducibility in behavioral neuroscience research. These systems provide detailed digital biomarkers of rodent behavior for more ethologically relevant studies.

Keywords:
EthoVision XTPhenoTyperhome-cageneurosciencerodent behaviorvideo-tracking

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Area of Science:

  • Behavioral Neuroscience
  • Biomedical Research
  • Animal Behavior Analysis

Background:

  • The reproducibility crisis in biomedical research is exacerbated by confounding environmental factors and human interference in behavioral neuroscience.
  • Automated home-cage monitoring systems offer a solution by reducing human interference and capturing natural behaviors.
  • These systems enable prolonged, longitudinal recordings of spontaneous behavior for multi-scale analysis.

Purpose of the Study:

  • To review the use of automated home-cage monitoring systems, specifically Noldus PhenoTyper and EthoVision XT, for extracting digital biomarkers.
  • To compare home-cage testing with conventional out-of-cage tests, highlighting advantages like within-subject analysis and circadian rhythm assessment.
  • To provide guidance on technical issues, data acquisition, analysis, and applications in neuropharmacology and disease models.

Main Methods:

  • Utilized Noldus PhenoTyper home-cages and EthoVision XT video-tracking software for automated behavioral monitoring.
  • Compared home-cage testing with traditional methods like the open field test.
  • Discussed technical aspects including software fine-tuning, biotelemetry, and optogenetics integration.

Main Results:

  • Automated home-cage systems provide digital biomarkers for motor, emotional, social, and cognitive behaviors.
  • Advantages include reduced variability, enhanced within-subject analyses, and assessment of circadian/ultradian activity.
  • The PhenoTyper system shows applications in neuropharmacology and models of neurodegenerative/neuropsychiatric illnesses.

Conclusions:

  • Standardized home-cage monitoring platforms like PhenoTyper are crucial for addressing reproducibility issues in behavioral neuroscience.
  • These systems facilitate the measurement of rodent behavior in more ethologically relevant scenarios.
  • Future developments focus on automated behavior recognition, social tracking, animal-centered measures, and big data handling.