Literature DB >> 15006034

Magnetic brain response mirrors extraction of phonological features from spoken vowels.

Jonas Obleser1, Aditi Lahiri, Carsten Eulitz.   

Abstract

This study further elucidates determinants of vowel perception in the human auditory cortex. The vowel inventory of a given language can be classified on the basis of phonological features which are closely linked to acoustic properties. A cortical representation of speech sounds based on these phonological features might explain the surprisingly inverse correlation between immense variance in the acoustic signal and high accuracy of speech recognition. We investigated timing and mapping of the N100m elicited by 42 tokens of seven natural German vowels varying along the phonological features tongue height (corresponding to the frequency of the first formant) and place of articulation (corresponding to the frequency of the second and third formants). Auditory evoked fields were recorded using a 148-channel whole-head magnetometer while subjects performed target vowel detection tasks. Source location differences appeared to be driven by place of articulation: Vowels with mutually exclusive place of articulation features, namely, coronal and dorsal elicited separate centers of activation along the posterior-anterior axis. Additionally, the time course of activation as reflected in the N100m peak latency distinguished between vowel categories especially when the spatial distinctiveness of cortical activation was low. In sum, results suggest that both N100m latency and source location as well as their interaction reflect properties of speech stimuli that correspond to abstract phonological features.

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Year:  2004        PMID: 15006034     DOI: 10.1162/089892904322755539

Source DB:  PubMed          Journal:  J Cogn Neurosci        ISSN: 0898-929X            Impact factor:   3.225


  34 in total

1.  You had me at "Hello": Rapid extraction of dialect information from spoken words.

Authors:  Mathias Scharinger; Philip J Monahan; William J Idsardi
Journal:  Neuroimage       Date:  2011-04-12       Impact factor: 6.556

2.  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

3.  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

4.  Motor cortex maps articulatory features of speech sounds.

Authors:  Friedemann Pulvermüller; Martina Huss; Ferath Kherif; Fermin Moscoso del Prado Martin; Olaf Hauk; Yury Shtyrov
Journal:  Proc Natl Acad Sci U S A       Date:  2006-05-08       Impact factor: 11.205

5.  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

6.  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

7.  Discriminating between auditory and motor cortical responses to speech and nonspeech mouth sounds.

Authors:  Zarinah K Agnew; Carolyn McGettigan; Sophie K Scott
Journal:  J Cogn Neurosci       Date:  2011-08-03       Impact factor: 3.225

Review 8.  The neuroanatomic and neurophysiological infrastructure for speech and language.

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

9.  Using phase to recognize English phonemes and their distinctive features in the brain.

Authors:  Rui Wang; Marcos Perreau-Guimaraes; Claudio Carvalhaes; Patrick Suppes
Journal:  Proc Natl Acad Sci U S A       Date:  2012-11-26       Impact factor: 11.205

10.  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

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