Mendes César S, Bartos Imre, Márka Zsuzsanna, Akay Turgay, Márka Szabolcs, Mann Richard S
Department of Biochemistry and Molecular Biophysics, Columbia University, 701 West 168th Street, HHSC 1104, New York, NY, 10032, USA.
Current address: CEDOC, Faculdade de Ciências Médicas, Universidade Nova de Lisboa, Lisboa, 1169-056, Portugal.
BMC Biol. 2015 Jul 22;13:50. doi: 10.1186/s12915-015-0154-0.
Qualitative and quantitative measurements of motor performance are essential for characterizing perturbations of motor systems. Although several methods exist for analyzing specific motor tasks, few behavioral assays are readily available to researchers that provide a complete set of kinematic parameters in rodents.
Here we present MouseWalker, an integrated hardware and software system that provides a comprehensive and quantitative description of kinematic features in freely walking rodents. Footprints are visualized with high spatial and temporal resolution by a non-invasive optical touch sensor coupled to high-speed imaging. A freely available and open-source software package tracks footprints and body features to generate a comprehensive description of many locomotion features, including static parameters such as footprint position and stance patterns and dynamic parameters, such as step and swing cycle duration, and inter-leg coordination. Using this method, we describe walking by wild-type mice including several previously undescribed parameters. For example, we demonstrate that footprint touchdown occurs instantaneously by the entire paw with no obvious rostral-caudal or lateral-medial bias.
The readily available MouseWalker system and the large set of readouts it generates greatly increases the currently available toolkit for the analysis of wild type and aberrant locomotion in rodents.
运动表现的定性和定量测量对于表征运动系统的扰动至关重要。尽管存在多种分析特定运动任务的方法,但可供研究人员使用的行为测定法很少能提供啮齿动物完整的运动学参数集。
在此,我们展示了MouseWalker,这是一个集成的硬件和软件系统,可对自由行走的啮齿动物的运动学特征进行全面和定量的描述。通过与高速成像耦合的非侵入式光学触摸传感器,以高空间和时间分辨率可视化足迹。一个免费的开源软件包跟踪足迹和身体特征,以生成许多运动特征的全面描述,包括诸如足迹位置和站立模式等静态参数以及诸如步幅和摆动周期持续时间以及腿间协调性等动态参数。使用这种方法,我们描述了野生型小鼠的行走情况,包括几个以前未描述的参数。例如,我们证明整个爪子瞬间着地,没有明显的头尾或内外侧偏差。
易于使用的MouseWalker系统及其生成的大量读数极大地增加了当前用于分析啮齿动物野生型和异常运动的工具包。