Literature DB >> 21185073

Neuromagnetic evidence for a featural distinction of English consonants: sensor- and source-space data.

Mathias Scharinger1, Jennifer Merickel, Joshua Riley, William J Idsardi.   

Abstract

Speech sounds can be classified on the basis of their underlying articulators or on the basis of the acoustic characteristics resulting from particular articulatory positions. Research in speech perception suggests that distinctive features are based on both articulatory and acoustic information. In recent years, neuroelectric and neuromagnetic investigations provided evidence for the brain's early sensitivity to distinctive features and their acoustic consequences, particularly for place of articulation distinctions. Here, we compare English consonants in a Mismatch Field design across two broad and distinct places of articulation - labial and coronal - and provide further evidence that early evoked auditory responses are sensitive to these features. We further add to the findings of asymmetric consonant processing, although we do not find support for coronal underspecification. Labial glides (Experiment 1) and fricatives (Experiment 2) elicited larger Mismatch responses than their coronal counterparts. Interestingly, their M100 dipoles differed along the anterior/posterior dimension in the auditory cortex that has previously been found to spatially reflect place of articulation differences. Our results are discussed with respect to acoustic and articulatory bases of featural speech sound classifications and with respect to a model that maps distinctive phonetic features onto long-term representations of speech sounds.
Copyright © 2010 Elsevier Inc. All rights reserved.

Entities:  

Mesh:

Year:  2010        PMID: 21185073      PMCID: PMC3031676          DOI: 10.1016/j.bandl.2010.11.002

Source DB:  PubMed          Journal:  Brain Lang        ISSN: 0093-934X            Impact factor:   2.381


  61 in total

1.  Topographic and temporal indices of vowel spectral envelope extraction in the human auditory cortex.

Authors:  E Diesch; T Luce
Journal:  J Cogn Neurosci       Date:  2000-09       Impact factor: 3.225

2.  Neurobiological evidence for abstract phonological representations in the mental lexicon during speech recognition.

Authors:  Carsten Eulitz; Aditi Lahiri
Journal:  J Cogn Neurosci       Date:  2004-05       Impact factor: 3.225

3.  The mental representation of lexical form: a phonological approach to the recognition lexicon.

Authors:  A Lahiri; W Marslen-Wilson
Journal:  Cognition       Date:  1991-03

4.  Sensor noise suppression.

Authors:  Alain de Cheveigné; Jonathan Z Simon
Journal:  J Neurosci Methods       Date:  2007-09-19       Impact factor: 2.390

5.  Neurophysiological evidence for underspecified lexical representations: asymmetries with word initial variations.

Authors:  Claudia K Friedrich; Aditi Lahiri; Carsten Eulitz
Journal:  J Exp Psychol Hum Percept Perform       Date:  2008-12       Impact factor: 3.332

6.  Latency of evoked neuromagnetic M100 reflects perceptual and acoustic stimulus attributes.

Authors:  T P Roberts; P Ferrari; D Poeppel
Journal:  Neuroreport       Date:  1998-10-05       Impact factor: 1.837

7.  Auditory evoked M100 reflects onset acoustics of speech sounds.

Authors:  N Gage; D Poeppel; T P Roberts; G Hickok
Journal:  Brain Res       Date:  1998-12-14       Impact factor: 3.252

8.  Pre-attentive detection of vowel contrasts utilizes both phonetic and auditory memory representations.

Authors:  I Winkler; A Lehtokoski; P Alku; M Vainio; I Czigler; V Csépe; O Aaltonen; I Raimo; K Alho; H Lang; A Iivonen; R Näätänen
Journal:  Brain Res Cogn Brain Res       Date:  1999-01

9.  Perceptual systems controlling speech production.

Authors:  Novraj S Dhanjal; Lahiru Handunnetthi; Maneesh C Patel; Richard J S Wise
Journal:  J Neurosci       Date:  2008-10-01       Impact factor: 6.167

10.  Neurophysiological correlates of mismatch in lexical access.

Authors:  Claudia K Friedrich
Journal:  BMC Neurosci       Date:  2005-11-11       Impact factor: 3.288

View more
  6 in total

1.  Converging evidence for [coronal] underspecification in English-speaking adults.

Authors:  Alycia Cummings; John Madden; Kathryn Hefta
Journal:  J Neurolinguistics       Date:  2017-05-29       Impact factor: 1.710

Review 2.  The neuroanatomic and neurophysiological infrastructure for speech and language.

Authors:  David Poeppel
Journal:  Curr Opin Neurobiol       Date:  2014-07-26       Impact factor: 6.627

3.  Towards a computational(ist) neurobiology of language: Correlational, integrated, and explanatory neurolinguistics.

Authors:  David Embick; David Poeppel
Journal:  Lang Cogn Neurosci       Date:  2015-05-01       Impact factor: 2.331

4.  A sparse neural code for some speech sounds but not for others.

Authors:  Mathias Scharinger; Alexandra Bendixen; Nelson J Trujillo-Barreto; Jonas Obleser
Journal:  PLoS One       Date:  2012-07-16       Impact factor: 3.240

Review 5.  Vowels and Consonants in the Brain: Evidence from Magnetoencephalographic Studies on the N1m in Normal-Hearing Listeners.

Authors:  Anna Dora Manca; Mirko Grimaldi
Journal:  Front Psychol       Date:  2016-09-22

6.  Evidence for [Coronal] Underspecification in Typical and Atypical Phonological Development.

Authors:  Alycia E Cummings; Diane A Ogiela; Ying C Wu
Journal:  Front Hum Neurosci       Date:  2020-12-22       Impact factor: 3.169

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.