| Literature DB >> 34637091 |
Yaning Han1,2, Kang Huang1,2, Ke Chen1,2, Hongli Pan1, Furong Ju1, Yueyue Long1,3, Gao Gao1,4, Runlong Wu5, Aimin Wang6,7, Liping Wang8,9, Pengfei Wei10,11.
Abstract
Understanding the connection between brain and behavior in animals requires precise monitoring of their behaviors in three-dimensional (3-D) space. However, there is no available three-dimensional behavior capture system that focuses on rodents. Here, we present MouseVenue3D, an automated and low-cost system for the efficient capture of 3-D skeleton trajectories in markerless rodents. We improved the most time-consuming step in 3-D behavior capturing by developing an automatic calibration module. Then, we validated this process in behavior recognition tasks, and showed that 3-D behavioral data achieved higher accuracy than 2-D data. Subsequently, MouseVenue3D was combined with fast high-resolution miniature two-photon microscopy for synchronous neural recording and behavioral tracking in the freely-moving mouse. Finally, we successfully decoded spontaneous neuronal activity from the 3-D behavior of mice. Our findings reveal that subtle, spontaneous behavior modules are strongly correlated with spontaneous neuronal activity patterns.Entities:
Keywords: 3-D pose estimation; Automatic calibration; Behavioral and neural recording; Computational neuroethology; Multi-view cameras
Mesh:
Year: 2021 PMID: 34637091 PMCID: PMC8975979 DOI: 10.1007/s12264-021-00778-6
Source DB: PubMed Journal: Neurosci Bull ISSN: 1995-8218 Impact factor: 5.203