ERP Indicators of local and global text influences on word-to-text integration

In two ERP experiments we examined local (recent text) and global (centrality) text influences on word-to-text integration. Participants read words that appeared across a sentence boundary or in text-final position. In both cases, the word was either related (central) or unrelated (non-central) to the central theme of the passage. Additionally, words across a sentence boundary had an antecedent in the preceding sentence (local binding) or did not (baseline). Results indicate local-binding processes influence sentence-initial words with no additional effect of centrality, evidenced by a reduced N400 for central and non-central words with a local-binding opportunity relative to baseline. At text-final words, we observed a reduced P600 (Experiment 1) as well as an N400 (Experiment 2) for central relative to non-central words. This pattern suggests that integration across a sentence boundary is supported by local context and that over the course of continued reading, integration begins to reflect global text meaning.