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首页> 外文期刊>Journal of Neuroscience Methods >The sliding window correlation procedure for detecting hidden correlations: existence of behavioral subgroups illustrated with aged rats.
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The sliding window correlation procedure for detecting hidden correlations: existence of behavioral subgroups illustrated with aged rats.

机译：滑动窗口相关程序，用于检测隐藏的相关性：存在与老年大鼠一起说明的行为亚组。

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摘要

We developed the sliding window correlation procedure in order to examine populations for possible heterogeneity in the ways two variables are related with each other. This procedure involves computing correlation coefficients (R) for overlapping successive segments of the covariate scores. The distribution of resulting Rs reveals fluctuations in the degree and direction of R over the sample of ranked scores. This procedure is applied to behavioral data of aged rats, which were rank-ordered according to water maze performance, and correlated with open field exploration and conflict behavior in a light/dark chamber. Results revealed correlation coefficients of varying magnitudes and opposing directions for different segments of the population, which were obscured by overall correlation analysis. E.g. for the superior learners, the Rs were highest between maze learning ability, increased open field exploration and reduced anxiety in the conflict test, whereas for the intermediate learners the Rs were highest for maze learning ability related with reduced exploration and increased anxiety. Thus, the sliding window correlation distribution can be applied in conjunction with overall correlation analysis to provide information about the potential presence and locations of subgroups within a population, especially if overall correlation analysis does not yield significant results.
机译：我们开发了滑动窗口相关程序，以便以两个变量相互关联的方式检查总体是否存在异质性。此过程涉及计算协变量分数的连续连续部分的相关系数（R）。所得Rs的分布揭示了在排名分数样本上R的程度和方向的波动。该程序适用于老年大鼠的行为数据，该行为数据根据水迷宫的性能进行排序，并与明场和暗室中的野外探索和冲突行为相关。结果显示了人口不同部分的大小和方向相反的相关系数，这些相关系数被整体相关分析所掩盖。例如。对于高级学习者，在冲突测试中，迷宫学习能力，增加的野外探索和减少焦虑之间的Rs最高，而对于中级学习者，迷宫学习能力与减少探索和增加焦虑相关的Rs最高。因此，滑动窗口相关性分布可以与整体相关性分析结合使用，以提供有关总体中子组的潜在存在和位置的信息，尤其是在整体相关性分析未产生明显结果的情况下。

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