1 Columbia University Medical Center, New York, NY, USA.
2 Donald & Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA.
Neurorehabil Neural Repair. 2019 Jul;33(7):503-512. doi: 10.1177/1545968319855034. Epub 2019 Jun 12.
Rodent tests of function have advanced our understanding of movement, largely through the human training and testing and manual assessment. Tools such as reaching and grasping of a food pellet have been widely adopted because they are effective and simple to use. However, these tools are time-consuming, subjective, and often qualitative. Automation of training, testing, and assessment has the potential to increase efficiency while ensuring tasks are objective and quantitative. We detail new methods for automating rodent forelimb tests, including the use of pellet dispensers, sensors, computer vision, and home cage systems. We argue that limitations in existing forelimb tasks are driving the innovations in automated systems. We further argue that automated tasks partially address these limitations, and we outline necessary precautions and remaining challenges when adopting these types of tasks. Finally, we suggest attributes of future automated rodent assessment tools that can enable widespread adoption and help us better understand forelimb function in health and disease.
啮齿动物功能测试在很大程度上通过人类的训练、测试和手动评估推进了我们对运动的理解。由于这些工具既有效又易于使用,因此广泛采用了诸如抓握食物球等工具。然而,这些工具既耗时又主观,而且通常是定性的。训练、测试和评估的自动化有可能在确保任务客观和定量的同时提高效率。我们详细介绍了自动啮齿动物前肢测试的新方法,包括使用颗粒分配器、传感器、计算机视觉和家庭笼系统。我们认为,现有的前肢任务的局限性正在推动自动化系统的创新。我们进一步认为,自动化任务部分解决了这些局限性,并概述了在采用这些类型的任务时需要注意的预防措施和仍然存在的挑战。最后,我们建议未来的自动啮齿动物评估工具的属性,这可以使广泛采用,并帮助我们更好地了解健康和疾病中的前肢功能。