Data_Sheet_1_Automated Analysis of Stroke Mouse Trajectory Data With Traja.pdf
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https://figshare.com/articles/dataset/Data_Sheet_1_Automated_Analysis_of_Stroke_Mouse_Trajectory_Data_With_Traja_pdf/12366056
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Quantitative characterization of mouse activity, locomotion and walking patterns requires the monitoring of position and activity over long periods of time. Manual behavioral phenotyping, however, is time and skill-intensive, vulnerable to researcher bias and often stressful for the animals. We present examples for using a platform-independent open source trajectory analysis software, Traja, for semi-automated analysis of high throughput mouse home-cage data for neurobehavioral research. Our software quantifies numerous parameters of movement including traveled distance, velocity, turnings, and laterality which are demonstrated for application to neurobehavioral analysis. In this study, the open source software for trajectory analysis Traja is applied to movement and walking pattern observations of transient stroke induced female C57BL/6 mice (30 min middle cerebral artery occlusion) on an acute multinutrient diet intervention (Fortasyn). After stroke induction mice were single housed in Digital Ventilated Cages [DVC, GM500, Tecniplast S.p.A., Buguggiate (VA), Italy] and activity was recorded 24/7, every 250 ms using a DVC board. Significant changes in activity, velocity, and distance walked are computed with Traja. Traja identified increased walked distance and velocity in Control and Fortasyn animals over time. No diet effect was found in preference of turning direction (laterality) and distance traveled. As open source software for trajectory analysis, Traja supports independent development and validation of numerical methods and provides a useful tool for computational analysis of 24/7 mouse locomotion in home-cage environment for application in behavioral research or movement disorders.
要对小鼠活动、运动及行走模式进行定量表征,需长期监测其位置与活动状态。然而,手动行为表型分析不仅耗时耗力、对操作人员技能要求较高,还易受研究者主观偏差影响,且通常会对实验动物造成应激。本研究展示了如何利用一款平台无关的开源轨迹分析软件Traja,对神经行为研究中的高通量小鼠饲养笼活动数据进行半自动化分析。该软件可量化多项运动参数,包括移动距离、运动速度、转向行为与偏侧性,本研究将展示其在神经行为分析中的应用场景。本研究中,轨迹分析开源软件Traja被应用于短暂性脑缺血卒中(大脑中动脉闭塞30分钟)的雌性C57BL/6小鼠的运动与行走模式观测,这些小鼠同时接受急性多营养膳食干预(Fortasyn)。卒中造模后,小鼠被单笼饲养于数字通风笼具[DVC, GM500,意大利Tecniplast S.p.A.公司,布乌贾泰(瓦雷泽省)],并通过DVC采集板以每250毫秒一次的频率全天候记录其活动状态。借助Traja可计算得到小鼠活动、运动速度与行走距离的显著变化。Traja分析发现,对照组与Fortasyn干预组小鼠的行走距离与运动速度随时间均有所提升。但在转向偏好(偏侧性)与行走距离方面,未观察到膳食干预带来的显著影响。作为一款轨迹分析开源软件,Traja支持数值方法的独立开发与验证,可为饲养笼环境中小鼠的全天候运动计算分析提供实用工具,适用于行为研究或运动障碍相关研究。
创建时间:
2020-05-25



