Frisch Stefan, Beim Graben Peter
Max-Planck-Institute of Human Cognitive and Brain Sciences, Leipzig, Germany.
Brain Res Cogn Brain Res. 2005 Aug;24(3):476-91. doi: 10.1016/j.cogbrainres.2005.03.004. Epub 2005 Apr 8.
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.
以往的事件相关电位(ERP)研究发现,在论元数量与动词所能带的论元数量不匹配的句子中会出现N400 - P600模式。在本研究中,我们通过调查德语中不匹配的宾语论元的格(宾格/直接宾语与与格/间接宾语)是否会对加工产生不同影响来详细阐述这个问题。一般来说,两种类型的不匹配在ERP中都引发了双相的N400 - P600反应。然而,传统的电压平均分析无法揭示两种不匹配条件之间的差异,即不匹配的宾格与与格之间的差异。因此,我们采用了一种最近开发的ERP数据分析方法,即符号共振分析(SRA),在该方法中,脑电图(EEG)片段根据给定参数(编码阈值)被符号编码为三个符号的序列。我们发现,与不匹配的宾格论元相比,在N400时间窗口中,不匹配的与格论元的负极性阈值穿越事件比例更大。相比之下,在P600时间窗口中,与格的正极性阈值穿越事件比例更小。我们认为这种差异是由于德语中的“自由与格”现象。这一结果还表明,SRA为揭示使用传统电压平均分析无法发现的ERP差异提供了一个有用的工具。