Literature DB >> 9838140

Auditory evoked M100 reflects onset acoustics of speech sounds.

N Gage1, D Poeppel, T P Roberts, G Hickok.   

Abstract

Magnetoencephalography (MEG) was used to investigate the response to speech sounds that differ in onset dynamics, parameterized as words that have initial stop consonants (e.g., /b/, /t/) or do not (e.g., /m/, /f/). Latency and amplitude of the M100 auditory evoked neuromagnetic field, recorded over right and left auditory cortices, varied as a function of onset: stops had shorter latencies and higher amplitudes than no-stops in both hemispheres, consistent with the hypothesis that M100 is a sensitive indicator of spectral properties of acoustic stimuli. Further, activation patterns in response to stops/no-stops differed in the two hemispheres, possibly reflecting differential perceptual processing for the acoustic-phonetic cues at the onset of spoken words. Copyright 1998 Elsevier Science B.V.

Mesh:

Year:  1998        PMID: 9838140     DOI: 10.1016/s0006-8993(98)01058-0

Source DB:  PubMed          Journal:  Brain Res        ISSN: 0006-8993            Impact factor:   3.252


  16 in total

1.  Functional anatomy of speech perception and speech production: psycholinguistic implications.

Authors:  G Hickok
Journal:  J Psycholinguist Res       Date:  2001-05

2.  Discrimination of speech stimuli based on neuronal response phase patterns depends on acoustics but not comprehension.

Authors:  Mary F Howard; David Poeppel
Journal:  J Neurophysiol       Date:  2010-05-19       Impact factor: 2.714

3.  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

4.  What does the right hemisphere know about phoneme categories?

Authors:  Michael Wolmetz; David Poeppel; Brenda Rapp
Journal:  J Cogn Neurosci       Date:  2010-03-29       Impact factor: 3.225

5.  Timing is everything: neural response dynamics during syllable processing and its relation to higher-order cognition in schizophrenia and healthy comparison subjects.

Authors:  Corby L Dale; Anne M Findlay; R Alison Adcock; Mary Vertinski; Melissa Fisher; Alexander Genevsky; Stephanie Aldebot; Karuna Subramaniam; Tracy L Luks; Gregory V Simpson; Srikantan S Nagarajan; Sophia Vinogradov
Journal:  Int J Psychophysiol       Date:  2009-10-28       Impact factor: 2.997

6.  Independence of early speech processing from word meaning.

Authors:  Katherine E Travis; Matthew K Leonard; Alexander M Chan; Christina Torres; Marisa L Sizemore; Zhe Qu; Emad Eskandar; Anders M Dale; Jeffrey L Elman; Sydney S Cash; Eric Halgren
Journal:  Cereb Cortex       Date:  2012-08-08       Impact factor: 5.357

7.  Using effective connectivity analyses to understand processing architecture: Response to commentaries by Samuel, Spivey and McQueen, Eisner and Norris.

Authors:  David W Gow; Bruna B Olson
Journal:  Lang Cogn Neurosci       Date:  2016-06-14       Impact factor: 2.331

8.  Effects of formant proximity and stimulus prototypicality on the neural discrimination of vowels: Evidence from the auditory frequency-following response.

Authors:  T Christina Zhao; Matthew Masapollo; Linda Polka; Lucie Ménard; Patricia K Kuhl
Journal:  Brain Lang       Date:  2019-05-23       Impact factor: 2.381

9.  A bilateral cortical network responds to pitch perturbations in speech feedback.

Authors:  Naomi S Kort; Srikantan S Nagarajan; John F Houde
Journal:  Neuroimage       Date:  2013-09-25       Impact factor: 6.556

10.  A neurophysiological study into the foundations of tonal harmony.

Authors:  Elika Bergelson; William J Idsardi
Journal:  Neuroreport       Date:  2009-02-18       Impact factor: 1.837

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.