当前位置: X-MOL 学术Front. Neurosci. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Automated Analysis of Stroke Mouse Trajectory Data With Traja
Frontiers in Neuroscience ( IF 3.2 ) Pub Date : 2020-05-25 , DOI: 10.3389/fnins.2020.00518
Justin Shenk 1 , Klara J Lohkamp 1 , Maximilian Wiesmann 1 , Amanda J Kiliaan 1
Affiliation  

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.

中文翻译:

使用 Traja 自动分析中风鼠标轨迹数据

鼠标活动、运动和步行模式的定量表征需要长时间监测位置和活动。然而,手动行为表型分析是时间和技能密集型的,容易受到研究人员偏见的影响,并且通常会给动物带来压力。我们提供了使用独立于平台的开源轨迹分析软件 Traja 的示例,用于对神经行为研究的高通量小鼠家笼数据进行半自动分析。我们的软件量化了许多运动参数,包括行进距离、速度、转弯和侧向性,这些参数已被证明可用于神经行为分析。在这项研究中,用于轨迹分析的开源软件 Traja 用于在急性多营养素饮食干预 (Fortasyn) 下对短暂性中风诱导的雌性 C57BL/6 小鼠(大脑中动脉闭塞 30 分钟)的运动和步行模式观察。将中风诱导小鼠单独饲养在数字通风笼 [DVC、GM500、Tecniplast SpA、Buguggiate (VA)、意大利]中,并使用 DVC 板每 250 毫秒 24/7 记录活动。使用 Traja 计算活动、速度和步行距离的显着变化。Traja 发现 Control 和 Fortasyn 动物的步行距离和速度随着时间的推移而增加。在偏转方向(侧向性)和行进距离方面没有发现饮食影响。作为轨迹分析的开源软件,
更新日期:2020-05-25
down
wechat
bug