Comparing ICA-based and Single-Trial Topographic ERP Analyses

Comparing ICA-based and Single-Trial Topographic ERP Analyses
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DOI:
10.1007/s10548-010-0145-y
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发表时间:
2010-06-01
期刊:
影响因子:
2.7
通讯作者:
Murray, Micah M.
Murray, Micah M.
中科院分区:
医学3区
文献类型:
--
作者:
De Lucia, Marzia;Michel, Christoph M.;Murray, Micah M.

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单次试验分析的人类脑电图(EEG)最近已被提出,以更好地了解个人的贡献,一组分析的影响,以及调查单一的主题机制。独立成分分析(伊卡)已被反复应用于串联的单一试验响应,并在单一受试者的水平,以提取类似于感兴趣的活动的那些组件。最近,我们提出了一种基于地形图的单次试验方法,该方法利用试验中的重复来确定在事件相关电位(ERP)水平上可靠地观察到哪些电压配置。在这里,我们研究了伊卡获得的地图与地形,我们获得的单次试验聚类算法,最好地解释了ERP的方差之间的对应关系。为此,我们使用了EEGLAB网站提供的示例数据,这些数据基于视觉目标检测任务的数据集。我们表明,有强大的correspondence无论是在激活时间课程的水平和相关地图的一个子集的电压配置的水平。我们还显示了估计的逆解(基于低分辨率电磁断层扫描)的两个相应的地图发生在约300毫秒刺激后发作,估计由上述两种方法。空间分布的估计来源显着相关,并在共同的Brodmann的区域(BA)40内的右顶叶激活。尽管这两种方法在理论基础上存在差异,但它们的结果之间的一致性表明,它们的基本假设确实是相容的。
Single-trial analysis of human electroencephalography (EEG) has been recently proposed for better understanding the contribution of individual subjects to a group-analyis effect as well as for investigating single-subject mechanisms. Independent Component Analysis (ICA) has been repeatedly applied to concatenated single-trial responses and at a single-subject level in order to extract those components that resemble activities of interest. More recently we have proposed a single-trial method based on topographic maps that determines which voltage configurations are reliably observed at the event-related potential (ERP) level taking advantage of repetitions across trials. Here, we investigated the correspondence between the maps obtained by ICA versus the topographies that we obtained by the single-trial clustering algorithm that best explained the variance of the ERP. To do this, we used exemplar data provided from the EEGLAB website that are based on a dataset from a visual target detection task. We show there to be robust correpondence both at the level of the activation time courses and at the level of voltage configurations of a subset of relevant maps. We additionally show the estimated inverse solution (based on low-resolution electromagnetic tomography) of two corresponding maps occurring at approximately 300 ms post-stimulus onset, as estimated by the two aforementioned approaches. The spatial distribution of the estimated sources significantly correlated and had in common a right parietal activation within Brodmann's Area (BA) 40. Despite their differences in terms of theoretical bases, the consistency between the results of these two approaches shows that their underlying assumptions are indeed compatible.