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Related Experiment Video

Updated: Jan 16, 2026

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Long-term scratching analysis of mice using machine learning.

Koji Kobayashi1, Yusuke Miyazaki2, Naoaki Sakamoto2

  • 1Department of Food and Animal Systemics, Graduate School of Agricultural and Life Sciences, The University of Tokyo, Tokyo 113-8657, Japan.

PNAS Nexus
|October 1, 2025
PubMed
Summary

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This summary is machine-generated.

Researchers developed an automated method using machine learning to quantify mouse scratching behavior, revealing new insights into pruritus (itch) and its persistence, especially under light conditions.

Area of Science:

  • Animal Behavior
  • Computational Biology
  • Dermatology

Background:

  • Pruritus is a common symptom linked to various disorders, necessitating better understanding through animal models.
  • Current methods for assessing pruritus in research settings lack objective quantification.

Purpose of the Study:

  • To develop and validate an automated system for objective, long-term analysis of scratching behavior in mice.
  • To characterize the detailed patterns of pruritus in naive and chemically induced conditions.

Main Methods:

  • Utilized image analysis and machine learning algorithms to track and quantify mouse scratching.
  • Performed 24-hour continuous monitoring of BALB/c mice under light and dark conditions.
  • Administered dinitrofluorobenzene (DNFB) to induce pruritus and analyzed behavioral responses.
Keywords:
circadian rhythmdermatitismachine learningpruritusscratching

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Main Results:

  • Naive mice exhibited significantly more frequent and prolonged scratching during light periods, which was resistant to extinction.
  • Dinitrofluorobenzene (DNFB) induced persistent, biphasic scratching behavior compared to transient vehicle responses.
  • Scratching behavior was observed even during resting periods in DNFB-treated mice.

Conclusions:

  • Automated long-term scratching behavior analysis provides a powerful tool for objective pruritus research.
  • Mouse scratching exhibits distinct temporal patterns influenced by light and chemical stimuli.
  • This methodology offers novel insights into the pathophysiology of pruritus.