A deep-learning-based threshold-free method for automated analysis of rodent behavior in the forced swim test and tail suspension test.

Journal: Journal of neuroscience methods
Published Date: Jul 1, 2024

Abstract

BACKGROUND: The forced swim test (FST) and tail suspension test (TST) are widely used to assess depressive-like behaviors in animals. Immobility time is used as an important parameter in both FST and TST. Traditional methods for analyzing FST and TST rely on manually setting the threshold for immobility, which is time-consuming and subjective.

Authors

  • Xuechun Meng
    School of Information Science and Technology, University of Science and Technology of China, Hefei, China; Center for Advanced Interdisciplinary Science and Biomedicine of IHM, Division of Life Sciences and Medicine, University of Science and Technology of China, China.
  • Yang Xia
    The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China.
  • Mingqing Liu
    School of Information Science and Technology, University of Science and Technology of China, Hefei, China; Center for Advanced Interdisciplinary Science and Biomedicine of IHM, Division of Life Sciences and Medicine, University of Science and Technology of China, China.
  • Yuxing Ning
    Department of Geriatrics, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, China.
  • Hongqi Li
  • Ling Liu
    College of Mathematics and Statistics, Hubei Normal University, Huangshi 435002, China. Electronic address: lliu9308@sina.com.
  • Ji Liu

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