Automated touch sensing in the mouse tapered beam test using Raspberry Pi
Automated touch sensing in the mouse tapered beam test using Raspberry Pi
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DOI：
10.1016/j.jneumeth.2017.08.030
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发表时间：
2017-11-01
影响因子：
3
通讯作者：
Murphy, Timothy H.
中科院分区：
文献类型：
--
作者：
Ardesch, Dirk Jan;Balbi, Matilde;Murphy, Timothy H.
背景：神经系统疾病如中风的啮齿动物模型通常以运动缺陷为特征。用于评估这些运动缺陷的测试之一是锥形梁测试，其提供了基于啮齿动物穿越逐渐变窄的梁所产生的足部缺陷（滑动）的双侧运动功能的灵敏测量。然而，手动逐帧评分的视频记录是必要的，以获得测试结果，这是耗时的，容易人为rater bias.New方法：我们提出了一种具有成本效益的方法，自动触摸感应在锥形梁测试。电容式触摸传感器通过一层导电涂料检测梁上的足部故障，并将结果处理和存储在Raspberry Pi计算机上。结果：与“黄金标准”手动视频评分相比，使用该方法的自动触摸传感实现了高灵敏度（96.2%）。此外，它提供了一个可靠的测量单侧光血栓性中风小鼠的偏侧运动缺陷：结果表明，增加了数量的contralesional足故障长达6天后ischemia.Comparison与现有的方法：自动适应的锥形梁测试产生的结果后，立即每次试验，而不需要劳动密集型事后视频评分。它也增加了客观性的数据，因为它需要较少的实验人员参与在analysis.Conclusions：自动触摸传感可能提供了一个有用的适应现有的锥形梁测试在小鼠中，而简单的硬件本身潜在的进一步适应相关的行为测试。(C)2017爱思唯尔B.V.保留所有权利。
Background: Rodent models of neurological disease such as stroke are often characterized by motor deficits. One of the tests that are used to assess these motor deficits is the tapered beam test, which provides a sensitive measure of bilateral motor function based on foot faults (slips) made by a rodent traversing a gradually narrowing beam. However, manual frame-by-frame scoring of video recordings is necessary to obtain test results, which is time-consuming and prone to human rater bias.New method: We present a cost-effective method for automated touch sensing in the tapered beam test. Capacitive touch sensors detect foot faults onto the beam through a layer of conductive paint, and results are processed and stored on a Raspberry Pi computer.Results: Automated touch sensing using this method achieved high sensitivity (96.2%) as compared to 'gold standard' manual video scoring. Furthermore, it provided a reliable measure of lateralized motor deficits in mice with unilateral photothrombotic stroke: results indicated an increased number of contralesional foot faults for up to 6 days after ischemia.Comparison with existing method: The automated adaptation of the tapered beam test produces results immediately after each trial, without the need for labor-intensive post-hoc video scoring. It also increases objectivity of the data as it requires less experimenter involvement during analysis.Conclusions: Automated touch sensing may provide a useful adaptation to the existing tapered beam test in mice, while the simplicity of the hardware lends itself to potential further adaptations to related behavioral tests. (C) 2017 Elsevier B.V. All rights reserved.