Literature DB >> 15511650

Orderly cortical representation of vowel categories presented by multiple exemplars.

Anna Shestakova1, Elvira Brattico, Alexei Soloviev, Vasily Klucharev, Minna Huotilainen.   

Abstract

This study aimed at determining how the human brain automatically processes phoneme categories irrespective of the large acoustic inter-speaker variability. Subjects were presented with 450 different speech stimuli, equally distributed across the [a], [i], and [u] vowel categories, and each uttered by a different male speaker. A 306-channel magnetoencephalogram (MEG) was used to record N1m, the magnetic counterpart of the N1 component of the auditory event-related potential (ERP). The N1m amplitude and source locations differed between vowel categories. We also found that the spectrum dissimilarities were reproduced in the cortical representations of the large set of the phonemes used in this study: vowels with similar spectral envelopes had closer cortical representations than those whose spectral differences were the largest. Our data further extend the notion of differential cortical representations in response to vowel categories, previously demonstrated by using only one or a few tokens representing each category.

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Mesh:

Year:  2004        PMID: 15511650     DOI: 10.1016/j.cogbrainres.2004.06.011

Source DB:  PubMed          Journal:  Brain Res Cogn Brain Res        ISSN: 0926-6410


  11 in total

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

Authors:  Mathias Scharinger; Jennifer Merickel; Joshua Riley; William J Idsardi
Journal:  Brain Lang       Date:  2010-12-23       Impact factor: 2.381

2.  Vowel sound extraction in anterior superior temporal cortex.

Authors:  Jonas Obleser; Henning Boecker; Alexander Drzezga; Bernhard Haslinger; Andreas Hennenlotter; Michael Roettinger; Carsten Eulitz; Josef P Rauschecker
Journal:  Hum Brain Mapp       Date:  2006-07       Impact factor: 5.038

3.  Objective phonological and subjective perceptual characteristics of syllables modulate spatiotemporal patterns of superior temporal gyrus activity.

Authors:  Richard E Frye; Janet McGraw Fisher; Thomas Witzel; Seppo P Ahlfors; Paul Swank; Jacqueline Liederman; Eric Halgren
Journal:  Neuroimage       Date:  2008-02-14       Impact factor: 6.556

4.  Linear coding of voice onset time.

Authors:  Richard E Frye; Janet McGraw Fisher; Alexis Coty; Melissa Zarella; Jacqueline Liederman; Eric Halgren
Journal:  J Cogn Neurosci       Date:  2007-09       Impact factor: 3.225

5.  Dynamic and task-dependent encoding of speech and voice by phase reorganization of cortical oscillations.

Authors:  Milene Bonte; Giancarlo Valente; Elia Formisano
Journal:  J Neurosci       Date:  2009-02-11       Impact factor: 6.167

6.  Learning-induced neural plasticity of speech processing before birth.

Authors:  Eino Partanen; Teija Kujala; Risto Näätänen; Auli Liitola; Anke Sambeth; Minna Huotilainen
Journal:  Proc Natl Acad Sci U S A       Date:  2013-08-26       Impact factor: 11.205

7.  Segregation of vowels and consonants in human auditory cortex: evidence for distributed hierarchical organization.

Authors:  Jonas Obleser; Amber M Leaver; John Vanmeter; Josef P Rauschecker
Journal:  Front Psychol       Date:  2010-12-24

Review 8.  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

9.  The Duration of Auditory Sensory Memory for Vowel Processing: Neurophysiological and Behavioral Measures.

Authors:  Yan H Yu; Valerie L Shafer; Elyse S Sussman
Journal:  Front Psychol       Date:  2018-03-22

10.  Mapping the Speech Code: Cortical Responses Linking the Perception and Production of Vowels.

Authors:  William L Schuerman; Antje S Meyer; James M McQueen
Journal:  Front Hum Neurosci       Date:  2017-04-07       Impact factor: 3.169

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