AUTHOR=Dwivedi Veena D. , Selvanayagam Janahan 

TITLE=Effects of Dispositional Affect on the N400: Language Processing and Socially Situated Context

JOURNAL=Frontiers in Psychology

VOLUME=12

YEAR=2021

URL=https://www.frontiersin.org/journals/psychology/articles/10.3389/fpsyg.2021.566894

DOI=10.3389/fpsyg.2021.566894

ISSN=1664-1078

ABSTRACT=<p>We examined whether the N400 Event-Related Potential (ERP) component would be modulated by dispositional affect during sentence processing. In this study, 33 participants read sentences manipulated by direct object type (congruent vs. incongruent) and object determiner type (definite vs. demonstrative). We were particularly interested in sentences of the form: (i) <italic>The connoisseur tasted the</italic><underline><bold><italic>wine</italic></bold></underline><italic>on the tour</italic> vs. (ii) <italic>The connoisseur tasted the #</italic><underline><bold><italic>roof</italic></bold></underline><italic>…</italic> We expected that processing incongruent direct objects (#<italic>roof</italic>) vs. congruent objects (<italic>wine</italic>) would elicit N400 effects. Previous ERP language experiments have shown that participants in (induced) positive and negative moods were differentially sensitive to semantic anomaly, resulting in different N400 effects. Presently, we ask whether individual dispositional affect scores (as measured by the Positive and Negative Affect Schedule; PANAS) would modulate N400 effects as shown previously. Namely, previous results showed larger N400 effects associated with happy moods and attenuated amplitudes associated with sad moods. Results revealed significant N400 effects, driven by <italic>the #roof</italic> vs. <italic>the wine</italic>, where larger amplitude differences were found for individuals showing smaller negative affect (NA) scores, thus partially replicating previous findings. We discuss our results in terms of theories of local (lexical) inhibition, such that low NA promotes stronger lexico-semantic links in sentences. Finally, our results support accounts of language processing that include social and biological characteristics of individuals during real-time sentence comprehension.</p>