Combined Study of Behavior and Spike Discharges Associated with Negative Emotions in Mice.

Journal: Neuroscience bulletin
Published Date: Jul 15, 2025

Abstract

In modern society, people are increasingly exposed to chronic stress, leading to various mental disorders. However, the activities of brain regions, especially neural firing patterns related to specific behaviors, remain unclear. In this study, we introduce a novel approach, NeuroSync, which integrates open-field behavioral testing with electrophysiological recordings from emotion-related brain regions, specifically the central amygdala and the paraventricular nucleus of the hypothalamus, to explore the mechanisms of negative emotions induced by chronic stress in mice. By applying machine vision techniques, we quantified behaviors in the open field, and signal processing algorithms elucidated the neural underpinnings of the observed behaviors. Synchronizing behavioral and electrophysiological data revealed significant correlations between neural firing patterns and stress-related behaviors, providing insights into real-time brain activity underlying behavioral responses. This research combines deep learning and machine learning to synchronize high-resolution video and electrophysiological data, offering new insights into neural-behavioral dynamics under chronic stress conditions.

Authors

  • Jinru Xin
    National Engineering Laboratory for Brain-inspired Intelligence Technology and Application, School of Information Science and Technology, University of Science and Technology of China, Hefei, 230026, China.
  • Xinmiao Wang
    National Engineering Laboratory for Brain-inspired Intelligence Technology and Application, School of Information Science and Technology, University of Science and Technology of China, Hefei, 230026, China.
  • 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.
  • Ling Liu
    College of Mathematics and Statistics, Hubei Normal University, Huangshi 435002, China. Electronic address: lliu9308@sina.com.
  • 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.
  • Huangrui Xiong
    School of Information Science and Technology, MoE Key Laboratory of Brain-inspired Intelligent Perception and Cognition, CAS Key Laboratory of Brain Function and Disease, 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, Hefei, China.
  • Aiping Liu
    School of Information Science and Technology, University of Science and Technology of China, Hefei 230027, China.
  • Ji Liu

Keywords

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