Han Jiaying, Zhou Fangxu, Zhao Zhong, Zhang Dong, Chen Xueli, Wang Li, Zhao Ting, Ye Wei, Gu Xiaochun, Fang Huaqiang, Zhang Jue, Zhang Lifeng, Cheng Heping
Academy for Advanced Interdisciplinary Studies, Peking University, 100871, Beijing, China.
PKU-Nanjing Institute of Translational Medicine, Nanjing Raygen Health, 211899, Nanjing, China.
Sci Data. 2025 Jul 15;12(1):1226. doi: 10.1038/s41597-025-05527-2.
The medial prefrontal cortex (mPFC) coordinates cognitive processes across multiple timescales, yet its role in multiple natural behaviors remain unclear. Existing neural recording methods are limited by short observation windows and artificial task constraints, preventing insights into extended, naturally relevant dynamics. Here, we present multimodal datasets integrating two-photon calcium imaging via miniature microscope, simultaneous behavior video recording, and continuous EEG-EMG recordings in freely moving mice for over 24 hours. These datasets capture uninterrupted neural activity (unconstrained calcium imaging), physiological rhythms, and naturalistic behaviors (12 classified states) across full circadian cycles. By bridging three critical gaps: long-term continuity (over 24 hours of recording), multiple spontaneous behavior (unrestrained freely moving mice), and multimodal integration (neural activity, brain states, and behavior), our work establishes an open-access benchmark for naturalistic neuroscience. These data enable investigations into how mPFC ensembles dynamically reconfigure across timescales, advancing computational models of cortical dynamics and offering new insights into experience-dependent plasticity and cross-modal interactions in real-world contexts.
内侧前额叶皮质(mPFC)在多个时间尺度上协调认知过程,但其在多种自然行为中的作用仍不清楚。现有的神经记录方法受到短观察窗口和人工任务限制的制约,无法深入了解长时间的、与自然相关的动态变化。在此,我们展示了多模态数据集,该数据集通过微型显微镜整合了双光子钙成像、同步行为视频记录以及自由活动小鼠连续24小时以上的脑电图-肌电图记录。这些数据集捕捉了完整昼夜周期内不间断的神经活动(无约束钙成像)、生理节律和自然行为(12种分类状态)。通过弥合三个关键差距:长期连续性(超过24小时的记录)、多种自发行为(无束缚的自由活动小鼠)和多模态整合(神经活动、脑状态和行为),我们的工作为自然主义神经科学建立了一个开放获取的基准。这些数据有助于研究mPFC神经元群如何在不同时间尺度上动态重新配置,推动皮质动力学计算模型的发展,并为现实世界背景下的经验依赖性可塑性和跨模态相互作用提供新的见解。