Spatiotemporal analysis of the late ERP responses to deviant stimuli
Spatiotemporal analysis of the late ERP responses to deviant stimuli
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DOI：
10.1111/1469-8986.3820343
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发表时间：
2001-03-01
期刊：
影响因子：
3.7
通讯作者：
Donchin, E
中科院分区：
文献类型：
--
作者：
Spencer, KM;Dien, J;Donchin, E
我们使用了一种新的应用程序的主成分分析（时空PCA）分解的事件相关脑电位（ERPs）与密集的电极阵列，阐明了晚ERP组件引起的偏差刺激下的“注意”和“忽略”的条件。首先，执行“空间”PCA以识别一组头皮分布（空间因子或“虚拟电极”），其解释了数据集中的空间方差。数据表示为在每个虚拟电极处测量的空间因子分数或“虚拟ERP”。这些虚拟ERP被提交到一个“时间”PCA，产生一组时间因素或“虚拟时代”。对时间因素得分的统计分析发现：（1）注意的异常刺激诱发了P300和新奇P3成分，后者在高度显著的非目标中最大;（2）“被忽视”的异常刺激诱发了一个小的新奇P3，根据主要任务，一个小的P300;（3）经典的慢波由独立的前向负向和后向正向成分组成。
We used a novel application of principal components analysis (spatiotemporal PCA) to decompose the event-related brain potentials (ERPs) obtained with a dense electrode array, with the purpose of elucidating the late ERP components elicited by deviant stimuli under "attend" and "ignore" conditions. First, a "spatial" PCA was performed to identify a set of scalp distributions (spatial factors or "virtual electrodes") that accounted for the spatial variance in the data set. The data were expressed as spatial factor scores or "virtual ERPs" measured at each of the virtual electrodes. These virtual ERPs were submitted to a "temporal" PCA, yielding a set of temporal factors or "virtual epochs." Statistical analyses of the temporal factor scores found that (1) attended deviant stimuli elicited the P300 and Novelty P3 components, the latter being largest for highly salient nontargets; (2) "ignored" deviants elicited a small Novelty P3, and depending on the primary task, a small P300; and (3) the classical Slow Wave consisted of separate frontal-negative and posterior-positive components.