An automated rat single pellet reaching system with high-speed video capture
An automated rat single pellet reaching system with high-speed video capture
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DOI：
10.1016/j.jneumeth.2016.07.009
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发表时间：
2016-09-15
影响因子：
3
通讯作者：
Leventhal, Daniel K.
中科院分区：
文献类型：
--
作者：
Ellens, Damien J.;Gaidica, Matt;Leventhal, Daniel K.
背景资料：单颗粒达到是一个既定的任务，研究精细运动控制，大鼠达到，抓住，吃食物颗粒在一个刻板的顺序。这项任务的大多数体现需要持续的关注，限制了可以测试的动物数量和每次测试的次数。自动化版本允许在更多动物中进行更多干预，但必须具有鲁棒性和可重复性。新方法：我们的系统自动提供单个奖励颗粒，供大鼠用前爪抓取。使用实时计算机视觉检测到达，该视觉使用镜子从多个角度触发视频采集。这使我们能够记录高速（>每秒300帧）视频，并触发干预（例如，光遗传学）。单个视频帧由数字脉冲触发，该数字脉冲可以与行为、实验干预或记录设备（例如，电生理学）。该系统被安置在一个隔音室内，集成了照明和通风，允许在一个房间内多个熟练的到达系统。结果：我们表明，大鼠获得自动化任务类似于手动版本，该任务是强大的，可以与光遗传干预同步。与现有方法的比较：现有的熟练达成协议需要高水平的研究者参与，或者，如果随意，不允许高速，同步数据收集的整合。这项任务将通过有效地记录大量熟练的动作来促进运动学习和控制的研究。它可以适用于现代神经生理学，这需要高的时间精度。(C)2016爱思唯尔B.V.保留所有权利。
Background: Single pellet reaching is an established task for studying fine motor control in which rats reach for, grasp, and eat food pellets in a stereotyped sequence. Most incarnations of this task require constant attention, limiting the number of animals that can be tested and the number of trials per session. Automated versions allow more interventions in more animals, but must be robust and reproducible.New method: Our system automatically delivers single reward pellets for rats to grasp with their forepaw. Reaches are detected using real-time computer vision, which triggers video acquisition from multiple angles using mirrors. This allows us to record high-speed (>300 frames per second) video, and trigger interventions (e.g., optogenetics) with high temporal precision. Individual video frames are triggered by digital pulses that can be synchronized with behavior, experimental interventions, or recording devices (e.g., electrophysiology). The system is housed within a soundproof chamber with integrated lighting and ventilation, allowing multiple skilled reaching systems in one room.Results: We show that rats acquire the automated task similarly to manual versions, that the task is robust, and can be synchronized with optogenetic interventions.Comparison with existing methods: Existing skilled reaching protocols require high levels of investigator involvement, or, if ad libitum, do not allow for integration of high-speed, synchronized data collection.Conclusion: This task will facilitate the study of motor learning and control by efficiently recording large numbers of skilled movements. It can be adapted for use with modern neurophysiology, which demands high temporal precision. (C) 2016 Elsevier B.V. All rights reserved.