Finding needles in haystacks: symbolic resonance analysis of event-related potentials unveils different processing demands.
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.
Frisch
Stefan
S
Max-Planck-Institute of Human Cognitive and Brain Sciences, Leipzig, Germany. frisch@cbs.mpg.de
Beim Graben
Peter
P
D000328:Adult; D003627:Data Interpretation, Statistical; D004569:Electroencephalography; D004585:Electrooculography; D019277:Entropy; D005071:Evoked Potentials / Q000502:physiology*; D005260:Female; D005858:Germany; D006801:Humans; D007802:Language; D008297:Male; D015233:Models, Statistical; D011578:Psycholinguistics / Q000706:statistics & numerical data*; D011932:Reading; D012660:Semantics; D009626:Terminology as Topic