A comparison of analysis of variance and correlation methods for investigating cognitive development with functional magnetic resonance imaging
A comparison of analysis of variance and correlation methods for investigating cognitive development with functional magnetic resonance imaging
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DOI：
10.1207/s15326942dn3001_2
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发表时间：
2006-01-01
影响因子：
1.5
通讯作者：
Schlaggar, Bradley L.
中科院分区：
文献类型：
--
作者：
Fair, Damien A.;Brown, Timothy T.;Schlaggar, Bradley L.
统计方法用于功能磁共振成像（fMRI）研究认知发展是多种多样的和不断发展的。一般采用两种方法。这些是组间终点方差分析（ANOVA）和年龄相关回归。当应用于单个数据集时，这两种方法的差异可能会产生不同的结果。事件相关的fMRI数据从一组典型的发展参与者（n = 95;年龄范围= 7-35岁）执行控制词汇处理任务进行了分析，使用这两种方法。两种方法的结果显示出显著的重叠，但也有值得注意的差异。结果表明，对于显示年龄相关变化的区域，相关性相对更敏感的线性变化，而方差分析相对更敏感的线性变化。这些研究结果表明，发展动态的充分表征将需要融合的方法。
Statistical approaches used in functional magnetic resonance imaging (fMRI) to study cognitive development are varied and evolving. Two approaches have generally been used. These are between-group end-point analysis of variance (ANOVA) and age-related regression. Differences in these 2 approaches could produce different results when applied to a single data set. Event-related fMRI data from a group of typically developing participants (n = 95; age range = 7-35 years) performing controlled lexical processing tasks were analyzed using both methods. Results from the 2 approaches showed significant overlap, but also noteworthy differences. The results suggest that for regions showing age-related changes, correlation was relatively more sensitive to more linear changes whereas ANOVA was relatively more sensitive to less-linear changes. These findings suggest that full characterization of developmental dynamics will require converging methodologies.