Literature DB >> 14642493

Auditory-evoked magnetic field codes place of articulation in timing and topography around 100 milliseconds post syllable onset.

Jonas Obleser1, Aditi Lahiri, Carsten Eulitz.   

Abstract

This study demonstrates by means of magnetic source imaging how consonants and vowels that constitute a syllable differently affect the neural processing within the auditory cortex. We recently identified a topographically separate processing for mutually exclusive place features in isolated vowels (Obleser et al., in press). Does this mapping principle also hold for stop consonants with differing places of articulation? How is the N100m response to consonant-vowel (CV) syllables affected by the congruency of place information in the consonant and the vowel? Moreover, how is the N100m affected by coarticulation, i.e., the spreading of place features to adjacent phonemes? By systematically varying phonological information in the consonant as well as in the vowel of CV syllables, we were able to reveal a difference in N100m syllable source location along the anterior-posterior axis due to mutually exclusive places of articulation in the vowel of the syllable. We also found a change in source orientation rather than source location due to the same mutually exclusive features in the onset of the syllable. Furthermore, the N100m time course of the brain response delivered important complementary information to identify the phonological features present in the speech signal. Responses to all syllable categories originated in the perisylvian region anterior to the source of a band-passed noise stimulus. The systematic variation of both consonantal and vocalic place features and the study of their interaction on auditory processing proves to be a valuable method to gain more insight into the elusive phenomenon of human speech recognition.

Entities:  

Mesh:

Year:  2003        PMID: 14642493     DOI: 10.1016/j.neuroimage.2003.07.019

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


  22 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.  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

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.  The analysis of simple and complex auditory signals in human auditory cortex: magnetoencephalographic evidence from M100 modulation.

Authors:  Julian Jenkins; William J Idsardi; David Poeppel
Journal:  Ear Hear       Date:  2010-08       Impact factor: 3.570

6.  Cortical Processing of Arithmetic and Simple Sentences in an Auditory Attention Task.

Authors:  Joshua P Kulasingham; Neha H Joshi; Mohsen Rezaeizadeh; Jonathan Z Simon
Journal:  J Neurosci       Date:  2021-08-16       Impact factor: 6.167

7.  Hemispheric asymmetry in mid and long latency neuromagnetic responses to single clicks.

Authors:  Mary F Howard; David Poeppel
Journal:  Hear Res       Date:  2009-08-06       Impact factor: 3.208

8.  In Spoken Word Recognition, the Future Predicts the Past.

Authors:  Laura Gwilliams; Tal Linzen; David Poeppel; Alec Marantz
Journal:  J Neurosci       Date:  2018-07-16       Impact factor: 6.167

9.  The time-course of cortical responses to speech revealed by fast optical imaging.

Authors:  Joseph C Toscano; Nathaniel D Anderson; Monica Fabiani; Gabriele Gratton; Susan M Garnsey
Journal:  Brain Lang       Date:  2018-06-27       Impact factor: 2.381

Review 10.  An interactive model of auditory-motor speech perception.

Authors:  Einat Liebenthal; Riikka Möttönen
Journal:  Brain Lang       Date:  2017-12-18       Impact factor: 2.381

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.