Literature DB >> 26476370

Tracking lexical consolidation with ERPs: Lexical and semantic-priming effects on N400 and LPC responses to newly-learned words.

Iske Bakker1, Atsuko Takashima2, Janet G van Hell3, Gabriele Janzen2, James M McQueen4.   

Abstract

Novel words can be recalled immediately and after little exposure, but require a post-learning consolidation period to show word-like behaviour such as lexical competition. This pattern is thought to reflect a qualitative shift from episodic to lexical representations. However, several studies have reported immediate effects of meaningful novel words on semantic processing, suggesting that integration of novel word meanings may not require consolidation. The current study synthesises and extends these findings by showing a dissociation between lexical and semantic effects on the electrophysiological (N400, LPC) response to novel words. The difference in N400 amplitude between novel and existing words (a lexical effect) decreased significantly after a 24-h consolidation period, providing novel support for the hypothesis that offline consolidation aids lexicalisation. In contrast, novel words preceded by semantically related primes elicited a more positive LPC response (a semantic-priming effect) both before and after consolidation, indicating that certain semantic effects can be observed even when words have not been fully lexicalised. We propose that novel meanings immediately start to contribute to semantic processing, but that the underlying neural processes may shift from strategic to more automatic with consolidation.
Copyright © 2015 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  EEG; LPC; Memory consolidation; N400; Semantic priming; Word learning

Mesh:

Year:  2015        PMID: 26476370     DOI: 10.1016/j.neuropsychologia.2015.10.020

Source DB:  PubMed          Journal:  Neuropsychologia        ISSN: 0028-3932            Impact factor:   3.139


  11 in total

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2.  Language effects in second-language learners: A longitudinal electrophysiological study of spanish classroom learning.

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Journal:  Brain Res       Date:  2016-05-24       Impact factor: 3.252

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Journal:  Brain Lang       Date:  2019-07-03       Impact factor: 2.381

4.  Semantic and phonological schema influence spoken word learning and overnight consolidation.

Authors:  Viktória Havas; Jsh Taylor; Lucía Vaquero; Ruth de Diego-Balaguer; Antoni Rodríguez-Fornells; Matthew H Davis
Journal:  Q J Exp Psychol (Hove)       Date:  2018-01-19       Impact factor: 2.143

5.  Biliteracy and acquisition of novel written words: the impact of phonological conflict between L1 and L2 scripts.

Authors:  Beatriz Bermúdez-Margaretto; Grigory Kopytin; Andriy Myachykov; Yang Fu; Mikhail Pokhoday; Yury Shtyrov
Journal:  Psychol Res       Date:  2021-05-18

6.  Brain Signatures of New (Pseudo-) Words: Visual Repetition in Associative and Non-associative Contexts.

Authors:  Beatriz Bermúdez-Margaretto; David Beltrán; Fernando Cuetos; Alberto Domínguez
Journal:  Front Hum Neurosci       Date:  2018-09-04       Impact factor: 3.169

7.  Novel Word Learning: Event-Related Brain Potentials Reflect Pure Lexical and Task-Related Effects.

Authors:  Beatriz Bermúdez-Margaretto; David Beltrán; Fernando Cuetos; Alberto Domínguez
Journal:  Front Hum Neurosci       Date:  2019-10-15       Impact factor: 3.169

8.  Neural correlates of word learning in children.

Authors:  Atsuko Takashima; Iske Bakker-Marshall; Janet G van Hell; James M McQueen; Gabriele Janzen
Journal:  Dev Cogn Neurosci       Date:  2019-04-28       Impact factor: 6.464

9.  The Effect of Training-Induced Visual Imageability on Electrophysiological Correlates of Novel Word Processing.

Authors:  Laura Bechtold; Marta Ghio; Christian Bellebaum
Journal:  Biomedicines       Date:  2018-07-01

10.  Speed-Accuracy Tradeoffs in Brain and Behavior: Testing the Independence of P300 and N400 Related Processes in Behavioral Responses to Sentence Categorization.

Authors:  Phillip M Alday; Franziska Kretzschmar
Journal:  Front Hum Neurosci       Date:  2019-08-27       Impact factor: 3.169

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