步态分析
步态
物理医学与康复
神经病理性疼痛
感觉系统
剪辑
医学
计算机科学
神经科学
心理学
人工智能
麻醉
作者
Dong‐Wook Kang,Jae-Gyun Choi,Ji‐Young Moon,Suk-Yun Kang,Yeonhee Ryu,Jin Bong Park,H Kim
摘要
The von Frey test is a classical method that has been widely used to examine the sensory function of neuropathic pain animals. However, it has some disadvantages such as subjective data and the requirement of a skilled, experienced experimenter. To date, a variety of modifications have improved the von Frey method, but it still has a few limitations. Recent reports have suggested that gait analysis produces more accurate and objective data from the neuropathic animals. This protocol demonstrates how to perform the automated gait analysis to determine the degree of neuropathic pain in mice. After several days of acclimation, the mice were allowed to walk freely on the glass floor to illuminate footprints. Then, quantification of the footprints and gait were performed through video clips with automatic analysis of various walking parameters, such as area of paw print, swing time, angle of paw, etc. The main purpose of this study is to describe the methodology of automated gait analysis and briefly compare it with data from the classical sensory test using von Frey filament.
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