Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/92293
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Title: Dissociable effects of prediction and integration during language comprehension : evidence from a large-scale study using brain potentials
Authors: Nieuwland, MW
Barr, DJ
Bartolozzi, F
Busch-Moreno, S
Darley, E
Donaldson, DI
Ferguson, HJ
Fu, X
Heyselaar, E
Huettig, F
Matthew Husband, E
Ito, A
Kazanina, N
Kogan, V
Kohút, Z
Kulakova, E
Mézière, D
Politzer-Ahles, S 
Rousselet, G
Rueschemeyer, SA
Segaert, K
Tuomainen, J
Von Grebmer Zu Wolfsthurn, S
Issue Date: 3-Feb-2020
Source: Royal Society of London. Philosophical transactions B. Biological sciences, 3 Feb. 2020, v. 375, no. 1791, 20180522
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’.
Keywords: Predictability
Plausibility
Semantic similarity
N400
Publisher: The Royal Society Publishing
Journal: Royal Society of London. Philosophical transactions B. Biological sciences 
ISSN: 0962-8436
EISSN: 1471-2970
DOI: 10.1098/rstb.2018.0522
Rights: © 2019 The Author(s) Published by the Royal Society. All rights reserved.
© The Author(s). This preprint version is deposited under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. To access the final edited and published work see https://doi.org/10.1098/rstb.2018.0522
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