Yerkes National Primate Research Center, Atlanta, GA, 30329, United States; Udall Center of Excellence for Parkinson's Disease Research at Emory University, Atlanta, GA, 30329, United States.
Yerkes National Primate Research Center, Atlanta, GA, 30329, United States; Udall Center of Excellence for Parkinson's Disease Research at Emory University, Atlanta, GA, 30329, United States.
J Neurosci Methods. 2019 Jul 1;322:96-102. doi: 10.1016/j.jneumeth.2019.05.001. Epub 2019 May 2.
Quantification of spontaneous animal movement can be achieved using analysis of video recordings of the animals. Previous reports of video-based methods are based on outdated computer platforms or require the use of specialized equipment.
We developed a video analysis algorithm to quantify movement based on the commonly used MATLAB programming language. The algorithm is based on pixel differences between frames of video footage acquired with a standard video camera.
The new algorithm was validated, analyzing the amount of movements made by monkeys undergoing treatment with the dopaminergic neurotoxin 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine (MPTP) to induce parkinsonism. We compared the movement quantification generated by the new system of analysis with results obtained with a conventional infrared beam break counting system, a parkinsonism rating scale, and accelerometry-based motion quantification in three rhesus macaques. The information provided by our video analysis method was consistent with that obtained with the first two methods, and more detailed than the third.
The new method can replace other methods to quantify movement. Although other video analysis methods have been described, some have since been deprecated, or involve the use of specialized hardware. The new method provides a straightforward and fast approach of analyzing the amount of movement in caged experimental animals, using conventional off-the-shelf equipment and moderate computing resources.
This video analysis method provides an affordable, open access platform to quantify animal movement.
动物自发运动的量化可以通过分析动物的视频记录来实现。以前基于视频的方法报告是基于过时的计算机平台或需要使用特殊设备。
我们开发了一种基于常用 MATLAB 编程语言的视频分析算法来量化运动。该算法基于使用标准摄像机获取的视频片段之间的像素差异。
该新算法通过分析接受多巴胺能神经毒素 1-甲基-4-苯基-1,2,3,6-四氢吡啶 (MPTP) 治疗以诱导帕金森病的猴子的运动来进行验证。我们将新系统分析生成的运动量化结果与传统红外光束中断计数系统、帕金森病评定量表以及基于加速计的三只恒河猴运动量化结果进行了比较。我们的视频分析方法提供的信息与前两种方法一致,并且比第三种方法更详细。
新方法可以替代其他方法来量化运动。虽然已经描述了其他视频分析方法,但其中一些已经过时,或者涉及使用特殊硬件。新方法提供了一种直接且快速的方法,可使用常规现成的设备和适度的计算资源分析笼养实验动物的运动量。
这种视频分析方法为量化动物运动提供了一个负担得起的、开放获取的平台。