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Measuring Mouse Somatosensory Reflexive Behaviors with High-Speed Videography, Statistical Modeling, and Machine Learning

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Contemporary Approaches to the Study of Pain

Part of the book series: Neuromethods ((NM,volume 178))

Abstract

Objectively measuring and interpreting an animal’s sensory experience remains a challenging task. This is particularly true when using preclinical rodent models to study pain mechanisms and screen for potential new pain treatment reagents. How to determine their pain states in a precise and unbiased manner is a hurdle that the field will need to overcome. Here, we describe our efforts to measure mouse somatosensory reflexive behaviors with greatly improved precision by high-speed video imaging. We describe how coupling subsecond ethograms of reflexive behaviors with a statistical reduction method and supervised machine learning can be used to create a more objective quantitative mouse “pain scale.” Our goal is to provide the readers with a protocol of how to integrate some of the new tools described here with currently used mechanical somatosensory assays, while discussing the advantages and limitations of this new approach.

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Author information

Authors and Affiliations

  1. Department of Biology, Zuckerman Mind Brain Behavior Institute, Columbia University, NY, USA

    Ishmail Abdus-Saboor

  2. Department of Neuroscience, University of Pennsylvania, Philadelphia, PA, USA

    Wenqin Luo

Authors
  1. Ishmail Abdus-Saboor
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  2. Wenqin Luo
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Correspondence to Ishmail Abdus-Saboor or Wenqin Luo .

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Editors and Affiliations

  1. Department of Neurobiology, Pittsburgh Center for Pain Research, University of Pittsburgh, Pittsburgh, PA, USA

    Rebecca P. Seal

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Abdus-Saboor, I., Luo, W. (2022). Measuring Mouse Somatosensory Reflexive Behaviors with High-Speed Videography, Statistical Modeling, and Machine Learning. In: Seal, R.P. (eds) Contemporary Approaches to the Study of Pain. Neuromethods, vol 178. Humana, New York, NY. https://doi.org/10.1007/978-1-0716-2039-7_21

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  • DOI: https://doi.org/10.1007/978-1-0716-2039-7_21

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