| Literature DB >> 31840593 |
Mante S Nieuwland1,2,3, Dale J Barr4, Federica Bartolozzi1,3, Simon Busch-Moreno5, Emily Darley6, David I Donaldson7, Heather J Ferguson8, Xiao Fu5, Evelien Heyselaar1,9, Falk Huettig1, E Matthew Husband10, Aine Ito3,10, Nina Kazanina6, Vita Kogan3, Zdenko Kohút11, Eugenia Kulakova12, Diane Mézière3, Stephen Politzer-Ahles10,13, Guillaume Rousselet4, Shirley-Ann Rueschemeyer11, Katrien Segaert8,14, Jyrki Tuomainen5, Sarah Von Grebmer Zu Wolfsthurn6.
Abstract
Composing sentence meaning is easier for predictable words than for unpredictable words. Are predictable words genuinely predicted, or simply more plausible and therefore easier to integrate with sentence context? We addressed this persistent and fundamental question using data from a recent, large-scale (n = 334) replication study, by investigating the effects of word predictability and sentence plausibility on the N400, the brain's electrophysiological index of semantic processing. A spatio-temporally fine-grained mixed-effect multiple regression analysis revealed overlapping effects of predictability and plausibility on the N400, albeit with distinct spatio-temporal profiles. Our results challenge the view that the predictability-dependent N400 reflects the effects of either prediction or integration, and suggest that semantic facilitation of predictable words arises from a cascade of processes that activate and integrate word meaning with context into a sentence-level meaning. This article is part of the theme issue 'Towards mechanistic models of meaning composition'.Entities:
Keywords: N400; plausibility; predictability; semantic similarity
Mesh:
Year: 2019 PMID: 31840593 PMCID: PMC6939355 DOI: 10.1098/rstb.2018.0522
Source DB: PubMed Journal: Philos Trans R Soc Lond B Biol Sci ISSN: 0962-8436 Impact factor: 6.237