Unsupervised Analysis of Event-Related Potentials (ERPs) During an Emotional Go/NoGo Task

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• 关键词：EEG ; ERP ; Possibilistic clustering ; Decoding ; Brain activity
• 刊名：Lecture Notes in Computer Science
• 出版年：2017
• 出版时间：2017
• 年：2017
• 卷：10147
• 期：1
• 页码：151-161
• 丛书名：Fuzzy Logic and Soft Computing Applications
• ISBN：978-3-319-52962-2
• 卷排序：10147

文摘

We propose a framework for an unsupervised analysis of electroencephalography (EEG) data based on possibilistic clustering, including a preliminary noise and artefact rejection. The proposed data flow identifies the existing similarities in a set of segments of EEG signals and their grouping according to relevant experimental conditions. The analysis is applied to a set of event-related potentials (ERPs) recorded during the performance of an emotional Go/NoGo task. We show that the clusterization rate of trials in two experimental conditions is able to characterize the participants. The extension of the method and its generalization is discussed.