The Relation between Thematic Role Computing and Semantic Relatedness Processing during On-Line Sentence Comprehension

Sentence comprehension involves timely computing different types of relations between its verbs and noun arguments, such as morphosyntactic, semantic, and thematic relations. Here, we used EEG technique to investigate the potential differences in thematic role computing and lexical-sematic relatedness processing during on-line sentence comprehension , and the intraction between these two types of processes. Mandarin Chinese sentences were used as materials. The basic structure of those sentences is "Noun+Verb+'le'+a two-character word", with the Noun being the initial argument. The verb disambiguates the initial argument as an agent or a patient, Meanwhile, the initial argument and the verb are highly or lowly semantically related. The ERPs at the verbs revealed that: relative to the agent condition, the patient condition evoked a larger N400 only when the argument and verb were lowly semantically related; however, relative to the high-relatedness condition, the low-relatedness condition elicited a larger N400 regardless of the thematic relation; although both thematic role variation and sematic relatedness variation elicited N400 effects, the N400 effect elicited by the former was broadly distributed and reached maximun over the frontal electrodes, and the N400 effect elicited by the latter had a posterior distribution. In addition, the brain oscillations results showed that, although thematic role variation (patient vs. agent) induced power decreases around the beta frequency band (15-30 Hz), semantic relatedness variation (low-relatedness vs. high-relatedness) induced power increases in the theta frequency band (4-7 Hz). These results suggested that, in the sentence context, thematic role computing is modulated by the sematic relatedness between the verb and its argument; semantic relatedness processing, however, is in some degree independent from the thematic relations. Moreover, our results indicated that, during on-line sentence comprehension, thematic role computing and sematic relatedness processing are mediated by distinct neural systems