Literature DB >> 22079505

Time course of word production in fast and slow speakers: a high density ERP topographic study.

Marina Laganaro1, Andrea Valente, Cyril Perret.   

Abstract

The transformation of an abstract concept into an articulated word is achieved through a series of encoding processes, which time course has been repeatedly investigated in the psycholinguistic and neuroimaging literature on single word production. The estimates of the time course issued from previous investigations represent the timing of process duration for mean processing speed: as production speed varies significantly across speakers, a crucial question is how the timing of encoding processing varies with speed. Here we investigated whether between-subjects variability in the speed of speech production is distributed along all encoding processes or if it is accounted for by a specific processing stage. We analysed event-related electroencephalographical (ERP) correlates during overt picture naming in 45 subjects divided into three speed subgroups according to their production latencies. Production speed modulated waveform amplitudes in the time window ranging from about 200 to 350 ms after picture presentation and the duration of a stable electrophysiological spatial configuration in the same time period. The remaining time windows from picture onset to 200 ms before articulation were unaffected by speed. By contrast, the manipulation of a psycholinguistic variable, word age-of-acquisition, modulated ERPs in all speed subgroups in a different and later time period, starting at around 400 ms after picture presentation, associated with phonological encoding processes. These results indicate that the between-subject variability in the speed of single word production is principally accounted for by the timing of a stable electrophysiological activity in the 200-350 ms time period, presumably associated with lexical selection.
Copyright © 2011 Elsevier Inc. All rights reserved.

Mesh:

Year:  2011        PMID: 22079505     DOI: 10.1016/j.neuroimage.2011.10.082

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  13 in total

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Authors:  Sophie-Anne Beauprez; Betty Laroche; Cyril Perret; Christel Bidet-Ildei
Journal:  Brain Topogr       Date:  2019-06-21       Impact factor: 3.020

2.  Age of acquisition ratings for 19,716 simplified Chinese words.

Authors:  Xu Xu; Jiayin Li; Shulun Guo
Journal:  Behav Res Methods       Date:  2021-04

3.  The dissociation between age of acquisition and word frequency effects in Chinese spoken picture naming.

Authors:  Qingfang Zhang; Yuxi Zhou; Hao Lou
Journal:  Psychol Res       Date:  2021-11-10

4.  Phonological code retrieval during picture naming: Influence of consonant class.

Authors:  Alycia Cummings; Amebu Seddoh; Brianna Jallo
Journal:  Brain Res       Date:  2016-01-19       Impact factor: 3.252

5.  When does word frequency influence written production?

Authors:  Cristina Baus; Kristof Strijkers; Albert Costa
Journal:  Front Psychol       Date:  2013-12-24

6.  ERP topographic analyses from concept to articulation in word production studies.

Authors:  Marina Laganaro
Journal:  Front Psychol       Date:  2014-05-27

7.  ERP correlates of word production predictors in picture naming: a trial by trial multiple regression analysis from stimulus onset to response.

Authors:  Andrea Valente; Audrey Bürki; Marina Laganaro
Journal:  Front Neurosci       Date:  2014-12-04       Impact factor: 4.677

8.  Neurophysiological Modulations of Non-Verbal and Verbal Dual-Tasks Interference during Word Planning.

Authors:  Raphaël Fargier; Marina Laganaro
Journal:  PLoS One       Date:  2016-12-19       Impact factor: 3.240

9.  Tracking the time course of multi-word noun phrase production with ERPs or on when (and why) cat is faster than the big cat.

Authors:  Audrey Bürki; Marina Laganaro
Journal:  Front Psychol       Date:  2014-07-01

10.  Electrophysiological responses to alcohol cues are not associated with Pavlovian-to-instrumental transfer in social drinkers.

Authors:  Jasna Martinovic; Andrew Jones; Paul Christiansen; Abigail K Rose; Lee Hogarth; Matt Field
Journal:  PLoS One       Date:  2014-04-14       Impact factor: 3.240

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