标题： 对开放场测试视频的分布依赖性分析 显示英文标题

标题： A distribution-dependent analysis of open-field test movies

摘要： 尽管开放场测试已被广泛使用，但其可靠性和兼容性经常受到质疑。 尽管为该测试引入了许多指示参数，但它们并未考虑数据分布。 这种疏忽可能导致了上述问题。 在这里，采取了一种探索性的方法来分析老年小鼠测试的视频记录，该方法使用最少的参数来描述分布。 首先，动物的运动活动被分为两个集群：冲刺和搜索。 每个集群中发现的加速度呈正态分布。 集群的速度和持续时间呈现指数分布。 尽管指数模型仅包含一个参数，但在许多情况下，为了拟合数据，还需要一个表示行为不稳定的额外参数。 由于这个不稳定参数与速度呈负相关，因此需要大脑中维持稳定性的功能以获得更好的表现。 根据分布，被视为重要指标的旅行距离并不是动物状况的稳健估计量。 显示英文摘要

摘要： Although the open-field test has been widely used, its reliability and compatibility are frequently questioned. Although many indicating parameters were introduced for this test, they did not take data distributions into consideration. This oversight may have caused the problems mentioned above. Here, an exploratory approach for the analysis of video records of tests of elderly mice was taken that described the distributions using the least number of parameters. First, the locomotor activity of the animals was separated into two clusters: dash and search. The accelerations found in each of the clusters were distributed normally. The speed and the duration of the clusters exhibited an exponential distribution. Although the exponential model includes a single parameter, an additional parameter that indicated instability of the behaviour was required in many cases for fitting to the data. As this instability parameter exhibited an inverse correlation with speed, the function of the brain that maintained stability would be required for a better performance. According to the distributions, the travel distance, which has been regarded as an important indicator, was not a robust estimator of the animals' condition.