Flexible predictions during listening comprehension: Speaker reliability affects anticipatory processes.


Journal

Neuropsychologia
ISSN: 1873-3514
Titre abrégé: Neuropsychologia
Pays: England
ID NLM: 0020713

Informations de publication

Date de publication:
12 2019
Historique:
received: 15 05 2019
revised: 05 10 2019
accepted: 08 10 2019
pubmed: 13 10 2019
medline: 8 7 2020
entrez: 13 10 2019
Statut: ppublish

Résumé

During listening comprehension, the identification of individual words can be strongly influenced by properties of the preceding context. While sentence context can facilitate both behavioral and neural responses, it is unclear whether these effects can be attributed to the pre-activation of lexico-semantic features or the facilitated integration of contextually congruent words. Moreover, little is known about how statistics of the broader language environment, or information about the current speaker, might shape these facilitation effects. In the present study, we measured neural responses to predictable and unpredictable words as participants listened to sentences for comprehension. Critically, we manipulated the reliability of each speaker's utterances, such that individual speakers either tended to complete sentences with words that were highly predictable (reliable speaker) or with words that were unpredictable but still plausible (unreliable speaker). As expected, the amplitude of the N400 was reduced for locally predictable words, but, critically, these context effects were also modulated by speaker identity. Sentences from a reliable speaker showed larger facilitation effects with an earlier onset, suggesting that listeners engaged in enhanced anticipatory processing when a speaker's behavior was more predictable. This finding suggests that listeners can implicitly track the reliability of predictive cues in their environment and use these statistics to adaptively regulate predictive processing.

Identifiants

pubmed: 31605686
pii: S0028-3932(19)30268-4
doi: 10.1016/j.neuropsychologia.2019.107225
pii:
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, U.S. Gov't, Non-P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

107225

Informations de copyright

Copyright © 2019. Published by Elsevier Ltd.

Auteurs

Trevor Brothers (T)

Tufts University, USA. Electronic address: Trevor.brothers@tufts.edu.

Shruti Dave (S)

Feinberg School of Medicine, Northwestern University, USA.

Liv J Hoversten (LJ)

Basque Center on Cognition, Brain and Language, Spain.

Matthew J Traxler (MJ)

University of California, Davis, USA.

Tamara Y Swaab (TY)

University of California, Davis, USA.

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Classifications MeSH