Crowley Michael J, Wu Jia, McCreary Scott, Miller Kelly, Mayes Linda C
Yale Child Study Center, Yale University, New Haven, Connecticut, USA.
Dev Neuropsychol. 2012;37(6):559-77. doi: 10.1080/87565641.2012.694513.
False discovery rate (FDR) is a multiple comparison procedure that targets the expected proportion of false discoveries among the discoveries. Employing FDR methods in event-related potential (ERP) research provides an approach to explore new ERP paradigms and ERP-psychological trait/behavior relations. In Study 1, we examined neural responses to escape behavior from an aversive noise. In Study 2, we correlated a relatively unexplored trait dimension, ostracism, with neural response. In both situations we focused on the frontal cortical region, applying a channel by time plots to display statistically significant uncorrected data and FDR corrected data, controlling for multiple comparisons.
错误发现率（FDR）是一种多重比较程序，其目标是发现中错误发现的预期比例。在事件相关电位（ERP）研究中采用FDR方法提供了一种探索新的ERP范式以及ERP与心理特质/行为关系的途径。在研究1中，我们研究了对厌恶噪声逃避行为的神经反应。在研究2中，我们将一个相对未被探索的特质维度——排斥，与神经反应进行了关联。在这两种情况下，我们都聚焦于额叶皮质区域，应用逐时通道图来展示未校正的统计学显著数据和FDR校正后的数据，并控制多重比较。
