The jump is one of the common stereotyped behavior in rodents which can be found in certain types of disease models, such as addiction. It can be easily identified by the human eye. However, it is difficult to be tagged in real-time by manual operation, which limits the detailed exploration of its neural mechanisms with the new techniques, such as fiber photometry recording. Here we introduced an auto real-time jump tagging system (Art-JT system) to record the jump based on online monitoring the pressure changes of the floor in which the mouse is free exploring. Meanwhile, the Art-JT system can send the digital signal of the jump timing to the external device for tagging the events in the fiber photometry system. We tested it with the mice induced by Naloxone precipitated withdrawal jumping and found that it could accurately record the jump events and provide several detailed parameters of the jump. We also confirmed that the jump was correlated with the medial prefrontal cortex and primary motor cortex neuronal activities by combining the Art-JT system, GCaMP6 mice, and fiber photometry system. Our results suggested that the Art-JT system may be a powerful tool for recording and analyzing jumps efficiently and helping us to understand stereotyped behavior.

跳跃是啮齿动物常见的刻板行为之一，可以在某些类型的疾病模型中找到，例如成瘾。它可以很容易地被人眼识别。然而，很难通过手动操作实时标记，这限制了使用光纤光度记录等新技术对其神经机制的详细探索。在这里，我们引入了一种自动实时跳跃标记系统（Art-JT系统），基于在线监测鼠标自由探索的地板压力变化来记录跳跃。同时，Art-JT系统可以将跳跃时序的数字信号发送到外部设备，用于对光纤测光系统中的事件进行标记。我们用纳洛酮诱发的撤退跳跃诱导的小鼠进行测试，发现它可以准确记录跳跃事件并提供跳跃的几个详细参数。我们还通过结合 Art-JT 系统、GCaMP6 小鼠和纤维光度计系统证实了跳跃与内侧前额叶皮层和初级运动皮层神经元活动相关。我们的结果表明，Art-JT 系统可能是有效记录和分析跳跃并帮助我们理解刻板行为的强大工具。