Space-time-frequency analysis of EEG data using within-subject statistical tests followed by sequential PCA
Space-time-frequency analysis of EEG data using within-subject statistical tests followed by sequential PCA
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DOI：
10.1016/j.neuroimage.2008.09.020
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发表时间：
2009-03-01
期刊：
影响因子：
5.7
通讯作者：
Kraut, Michael A.
中科院分区：
文献类型：
--
作者：
Ferree, Thomas C.;Brier, Matthew R.;Kraut, Michael A.
提出了一种新的分析认知任务中脑电时变谱成分的方法。其目标是提取和总结数值结果的最显著特征，这些特征跨越空间，时间，频率，任务条件和多个主题。直接推广一种已建立的分析事件相关电位的方法，该方法使用顺序PCA，然后使用ANOVA来测试受试者之间的条件差异，得到了不可接受的结果。这种新方法被称为STAT-PCA，提倡对单个受试者的条件之间的差异进行统计检验，然后进行跨受试者的顺序PCA。与PCA-ANOVA相比，STAT-PCA给出的结果：1）隔离与任务相关的光谱变化，2）对基线功率的精确定义不敏感，3）在删除随机受试者的情况下是稳定的，以及4）根据组平均功率可解释。此外，STAT-PCA允许检测不仅在条件之间不同，而且在两种条件下共同的活动，提供完整但简约的数据视图。结论STAT-PCA非常适合于分析认知任务中脑电的时变谱内容。(C)2008年爱思唯尔公司All rights reserved.
A new method is developed for analyzing the time-varying spectral content of EEG data collected in cognitive tasks. The goal is to extract and summarize the most salient features of numerical results, which span space, time, frequency, task conditions, and multiple subjects. Direct generalization of an established approach for analyzing event-related potentials, which uses sequential PCA followed by ANOVA to test for differences between conditions across subjects, gave unacceptable results. The new method, termed STAT-PCA, advocates statistical testing for differences between conditions within single subjects, followed by sequential PCA across subjects. In contrast to PCA-ANOVA, it is demonstrated that STAT-PCA gives results which: 1) isolate task-related spectral changes, 2) are insensitive to the precise definition of baseline power, 3) are stable under deletion of a random subject, and 4) are interpretable in terms of the group-averaged power. Furthermore, STAT-PCA permits the detection of activity that is not only different between conditions, but also common to both conditions, providing a complete yet parsimonious view of the data. It is concluded that STAT-PCA is well suited for analyzing the time-varying spectral content of EEG during cognitive tasks. (C) 2008 Elsevier Inc. All rights reserved.