Literature DB >> 29802881

Taking Attention Away from the Auditory Modality: Context-dependent Effects on Early Sensory Encoding of Speech.

Zilong Xie1, Rachel Reetzke1, Bharath Chandrasekaran2.   

Abstract

Increasing visual perceptual load can reduce pre-attentive auditory cortical activity to sounds, a reflection of the limited and shared attentional resources for sensory processing across modalities. Here, we demonstrate that modulating visual perceptual load can impact the early sensory encoding of speech sounds, and that the impact of visual load is highly dependent on the predictability of the incoming speech stream. Participants (n = 20, 9 females) performed a visual search task of high (target similar to distractors) and low (target dissimilar to distractors) perceptual load, while early auditory electrophysiological responses were recorded to native speech sounds. Speech sounds were presented either in a 'repetitive context', or a less predictable 'variable context'. Independent of auditory stimulus context, pre-attentive auditory cortical activity was reduced during high visual load, relative to low visual load. We applied a data-driven machine learning approach to decode speech sounds from the early auditory electrophysiological responses. Decoding performance was found to be poorer under conditions of high (relative to low) visual load, when the incoming acoustic stream was predictable. When the auditory stimulus context was less predictable, decoding performance was substantially greater for the high (relative to low) visual load conditions. Our results provide support for shared attentional resources between visual and auditory modalities that substantially influence the early sensory encoding of speech signals in a context-dependent manner.
Copyright © 2018 IBRO. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  auditory predictability; frequency-following response; machine learning; visual perceptual load

Mesh:

Year:  2018        PMID: 29802881     DOI: 10.1016/j.neuroscience.2018.05.023

Source DB:  PubMed          Journal:  Neuroscience        ISSN: 0306-4522            Impact factor:   3.590


  5 in total

1.  Interactive effects of linguistic abstraction and stimulus statistics in the online modulation of neural speech encoding.

Authors:  Joseph C Y Lau; Patrick C M Wong; Bharath Chandrasekaran
Journal:  Atten Percept Psychophys       Date:  2019-05       Impact factor: 2.199

Review 2.  Machine Learning Approaches to Analyze Speech-Evoked Neurophysiological Responses.

Authors:  Zilong Xie; Rachel Reetzke; Bharath Chandrasekaran
Journal:  J Speech Lang Hear Res       Date:  2019-03-25       Impact factor: 2.297

3.  Lifelong Tone Language Experience does not Eliminate Deficits in Neural Encoding of Pitch in Autism Spectrum Disorder.

Authors:  Joseph C Y Lau; Carol K S To; Judy S K Kwan; Xin Kang; Molly Losh; Patrick C M Wong
Journal:  J Autism Dev Disord       Date:  2020-11-20

4.  The neural processing of pitch accents in continuous speech.

Authors:  Fernando Llanos; James S German; G Nike Gnanateja; Bharath Chandrasekaran
Journal:  Neuropsychologia       Date:  2021-05-11       Impact factor: 3.054

5.  Rapid Enhancement of Subcortical Neural Responses to Sine-Wave Speech.

Authors:  Fan-Yin Cheng; Can Xu; Lisa Gold; Spencer Smith
Journal:  Front Neurosci       Date:  2021-12-20       Impact factor: 4.677

  5 in total

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