Automated gesture tracking in head-fixed mice
Automated gesture tracking in head-fixed mice
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DOI：
10.1016/j.jneumeth.2017.07.014
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发表时间：
2018-04-15
影响因子：
3
通讯作者：
Masip, D.
中科院分区：
文献类型：
--
作者：
Giovannucci, A.;Pnevmatikakis, E. A.;Masip, D.
背景：在球形或圆柱形跑步机上使用头部固定的鼠标进行准备，在各种实验环境中提供了独特的优势。头部固定为光学和电生理记录和刺激提供了必要的机械稳定性。此外，它可以与虚拟环境，如T迷宫，使这些类型的记录在不同的行为。新方法：在本文中，我们提出了一个低成本，易于构建的采集系统，以及可扩展的计算方法，以定量测量头部固定的小鼠在圆柱或球形踏板上运动的行为(运动和爪子，胡须和尾巴运动模式)。现有方法：已经开发了几种定制的监督和非监督的方法来测量小鼠的行为。然而，到目前为止，还没有一个低成本的、交钥匙的、通用的和可扩展的系统来获取和量化小鼠的行为。结果：我们的算法以通过手动标记或通过更简单的特征提取方法生成的地面真实数据为基准。结论：我们提出了一套低成本的行为量化工具，作为对头部固定小鼠准备的记录和刺激技术的有价值的补充。(三)2017年提交人(S)。爱思唯尔出版公司(Elsevier B.V.)
Background: The preparation consisting of a head-fixed mouse on a spherical or cylindrical treadmill offers unique advantages in a variety of experimental contexts. Head fixation provides the mechanical stability necessary for optical and electrophysiological recordings and stimulation. Additionally, it can be combined with virtual environments such as T-mazes, enabling these types of recording during diverse behaviors.New method: In this paper we present a low-cost, easy-to-build acquisition system, along with scalable computational methods to quantitatively measure behavior (locomotion and paws, whiskers, and tail motion patterns) in head-fixed mice locomoting on cylindrical or spherical treadmills.Existing methods: Several custom supervised and unsupervised methods have been developed for measuring behavior in mice. However, to date there is no low-cost, turn-key, general-purpose, and scalable system for acquiring and quantifying behavior in mice.Results: We benchmark our algorithms against ground truth data generated either by manual labeling or by simpler methods of feature extraction. We demonstrate that our algorithms achieve good performance, both in supervised and unsupervised settings.Conclusions: We present a low-cost suite of tools for behavioral quantification, which serve as valuable complements to recording and stimulation technologies being developed for the head-fixed mouse preparation. (C) 2017 The Author(s). Published by Elsevier B.V.