Literature DB >> 18347784

Audio-vocal system regulation in children with autism spectrum disorders.

Nicole Russo1, Charles Larson, Nina Kraus.   

Abstract

Do children with autism spectrum disorders (ASD) respond similarly to perturbations in auditory feedback as typically developing (TD) children? Presentation of pitch-shifted voice auditory feedback to vocalizing participants reveals a close coupling between the processing of auditory feedback and vocal motor control. This paradigm was used to test the hypothesis that abnormalities in the audio-vocal system would negatively impact ASD compensatory responses to perturbed auditory feedback. Voice fundamental frequency (F(0)) was measured while children produced an /a/ sound into a microphone. The voice signal was fed back to the subjects in real time through headphones. During production, the feedback was pitch shifted (-100 cents, 200 ms) at random intervals for 80 trials. Averaged voice F(0) responses to pitch-shifted stimuli were calculated and correlated with both mental and language abilities as tested via standardized tests. A subset of children with ASD produced larger responses to perturbed auditory feedback than TD children, while the other children with ASD produced significantly lower response magnitudes. Furthermore, robust relationships between language ability, response magnitude and time of peak magnitude were identified. Because auditory feedback helps to stabilize voice F(0) (a major acoustic cue of prosody) and individuals with ASD have problems with prosody, this study identified potential mechanisms of dysfunction in the audio-vocal system for voice pitch regulation in some children with ASD. Objectively quantifying this deficit may inform both the assessment of a subgroup of ASD children with prosody deficits, as well as remediation strategies that incorporate pitch training.

Entities:  

Mesh:

Year:  2008        PMID: 18347784      PMCID: PMC2774799          DOI: 10.1007/s00221-008-1348-2

Source DB:  PubMed          Journal:  Exp Brain Res        ISSN: 0014-4819            Impact factor:   1.972


  79 in total

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2.  An auditory-feedback-based neural network model of speech production that is robust to developmental changes in the size and shape of the articulatory system.

Authors:  D E Callan; R D Kent; F H Guenther; H K Vorperian
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Authors:  T Lepistö; S Silokallio; T Nieminen-von Wendt; P Alku; R Näätänen; T Kujala
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4.  Neural mechanisms underlying auditory feedback control of speech.

Authors:  Jason A Tourville; Kevin J Reilly; Frank H Guenther
Journal:  Neuroimage       Date:  2007-10-11       Impact factor: 6.556

5.  Effects of perturbation magnitude and voice F0 level on the pitch-shift reflex.

Authors:  Hanjun Liu; Charles R Larson
Journal:  J Acoust Soc Am       Date:  2007-12       Impact factor: 1.840

6.  Central conduction time in childhood autism.

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7.  The autism diagnostic observation schedule-generic: a standard measure of social and communication deficits associated with the spectrum of autism.

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Journal:  J Autism Dev Disord       Date:  2000-06

8.  Sensory-motor interaction in the primate auditory cortex during self-initiated vocalizations.

Authors:  Steven J Eliades; Xiaoqin Wang
Journal:  J Neurophysiol       Date:  2002-12-11       Impact factor: 2.714

9.  Perception of complex sounds: abnormal pattern of cortical activation in autism.

Authors:  Nathalie Boddaert; Pascal Belin; Nadia Chabane; Jean-Baptiste Poline; Catherine Barthélémy; Marie-Christine Mouren-Simeoni; Francis Brunelle; Yves Samson; Mônica Zilbovicius
Journal:  Am J Psychiatry       Date:  2003-11       Impact factor: 18.112

10.  Peripheral auditory asymmetry in infantile autism.

Authors:  S Khalfa; N Bruneau; B Rogé; N Georgieff; E Veuillet; J L Adrien; C Barthélémy; L Collet
Journal:  Eur J Neurosci       Date:  2001-02       Impact factor: 3.386

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  14 in total

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Journal:  J Autism Dev Disord       Date:  2011-04

2.  Age-related differences in vocal responses to pitch feedback perturbations: a preliminary study.

Authors:  Hanjun Liu; Nicole M Russo; Charles R Larson
Journal:  J Acoust Soc Am       Date:  2010-02       Impact factor: 1.840

3.  Effects of voice harmonic complexity on ERP responses to pitch-shifted auditory feedback.

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Journal:  Clin Neurophysiol       Date:  2011-06-29       Impact factor: 3.708

4.  Neural Processing of Speech Sounds in ASD and First-Degree Relatives.

Authors:  Shivani P Patel; Molly Winston; Janna Guilfoyle; Trent Nicol; Gary E Martin; Kritika Nayar; Nina Kraus; Molly Losh
Journal:  J Autism Dev Disord       Date:  2022-06-07

Review 5.  Auditory brain stem response to complex sounds: a tutorial.

Authors:  Erika Skoe; Nina Kraus
Journal:  Ear Hear       Date:  2010-06       Impact factor: 3.570

6.  Biological changes in auditory function following training in children with autism spectrum disorders.

Authors:  Nicole M Russo; Jane Hornickel; Trent Nicol; Steven Zecker; Nina Kraus
Journal:  Behav Brain Funct       Date:  2010-10-16       Impact factor: 3.759

7.  Do Individuals with High-Functioning Autism Who Speak a Tone Language Show Intonation Deficits?

Authors:  Kary K L Chan; Carol K S To
Journal:  J Autism Dev Disord       Date:  2016-05

8.  Auditory feedback control of vocal pitch during sustained vocalization: a cross-sectional study of adult aging.

Authors:  Peng Liu; Zhaocong Chen; Jeffery A Jones; Dongfeng Huang; Hanjun Liu
Journal:  PLoS One       Date:  2011-07-25       Impact factor: 3.240

9.  Abnormal Speech Motor Control in Individuals with 16p11.2 Deletions.

Authors:  Carly Demopoulos; Hardik Kothare; Danielle Mizuiri; Jennifer Henderson-Sabes; Brieana Fregeau; Jennifer Tjernagel; John F Houde; Elliott H Sherr; Srikantan S Nagarajan
Journal:  Sci Rep       Date:  2018-01-19       Impact factor: 4.996

10.  Atypical delayed auditory feedback effect and Lombard effect on speech production in high-functioning adults with autism spectrum disorder.

Authors:  I-Fan Lin; Takemi Mochida; Kosuke Asada; Satsuki Ayaya; Shin-Ichiro Kumagaya; Masaharu Kato
Journal:  Front Hum Neurosci       Date:  2015-09-22       Impact factor: 3.169

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