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首页> 外文期刊>Brain research. Cognitive brain research >Finding needles in haystacks: Symbolic resonance analysis of event-related potentials unveils different processing demands.
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Finding needles in haystacks: Symbolic resonance analysis of event-related potentials unveils different processing demands.

机译:在大海捞针中找针:对事件相关电位的符号共振分析揭示了不同的处理需求。

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摘要

Previous ERP studies have found an N400-P600 pattern in sentences in which the number of arguments does not match the number of arguments that the verb can take. In the present study, we elaborate on this question by investigating whether the case of the mismatching object argument in German (accusative/direct object versus dative/indirect object) affects processing differently. In general, both types of mismatches elicited a biphasic N400-P600 response in the ERP. However, traditional voltage average analysis was unable to reveal differences between the two mismatching conditions, that is, between a mismatching accusative versus dative. Therefore, we employed a recently developed method on ERP data analysis, the symbolic resonance analysis (SRA), where EEG epochs are symbolically encoded in sequences of three symbols depending on a given parameter, the encoding threshold. We found a larger proportion of threshold crossing events with negative polarity in the N400 time window for a mismatching dative argument compared to a mismatching accusative argument. By contrast, the proportion of threshold crossing events with positive polarity was smaller for dative in the P600 time window. We argue that this difference is due to the phenomenon of "free dative" in German. This result also shows that the SRA provides a useful tool for revealing ERP differences that cannot be discovered using the traditional voltage average analysis.
机译:先前的ERP研究发现句子中的N400-P600模式的论点数量与动词可以接受的论点数量不匹配。在本研究中,我们通过研究德语中宾语不匹配的宾语(宾语/直接宾语与宾格/间接宾语)的处理方式是否受到不同的影响来详细说明这个问题。通常,两种类型的不匹配都会在ERP中引起N400-P600两相反应。但是,传统的平均电压分析无法揭示两个不匹配条件之间的差异,即不匹配的宾语和格令之间的差异。因此,我们在ERP数据分析中采用了一种最新开发的方法,即符号共振分析(SRA),其中,根据给定参数,即编码阈值,以三个符号的顺序对EEG历元进行符号编码。我们发现,在N400时间窗口中,与不匹配的宾语自变量相比,在N400时间窗口中,带有负极性的阈值穿越事件比例更大。相比之下,在P600时间窗口中,具有正极性的阈值穿越事件的比例较小。我们认为,这种差异是由于德语中的“自由语”现象引起的。该结果还表明,SRA提供了一个有用的工具,用于揭示传统电压平均值分析无法发现的ERP差异。

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