Literature DB >> 24908166

Age-related changes in the subcortical-cortical encoding and categorical perception of speech.

Gavin M Bidelman1, Joshua W Villafuerte2, Sylvain Moreno2, Claude Alain3.   

Abstract

Aging is associated with declines in auditory processing including speech comprehension abilities. Here, we evaluated both brainstem and cortical speech-evoked brain responses to elucidate how aging impacts the neural transcription and transfer of speech information between functional levels of the auditory nervous system. Behaviorally, older adults showed slower, more variable speech classification performance than younger listeners, which coincided with reduced brainstem amplitude and increased, but delayed, cortical speech-evoked responses. Mild age-related hearing loss showed differential correspondence with neurophysiological responses showing negative (brainstem) and positive (cortical) correlations with brain activity. Spontaneous brain activity, that is, "neural noise," did not differ between older and younger adults. Yet, mutual information and correlations computed between brainstem and cortex revealed higher redundancy (i.e., lower interdependence) in speech information transferred along the auditory pathway implying less neural flexibility in older adults. Results are consistent with the notion that weakened speech encoding in brainstem is overcompensated by increased cortical dysinhibition in the aging brain. Findings suggest aging negatively impacts speech listening abilities by distorting the hierarchy of speech representations, reducing neural flexibility through increased neural redundancy, and ultimately impairing the acoustic-phonetic mapping necessary for robust speech understanding.
Copyright © 2014 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Auditory event-related potentials (ERPs); Brain signal variability; Brainstem frequency-following response (FFR); Categorical speech perception; Cognitive aging; Mutual information (MI); Speech perception

Mesh:

Year:  2014        PMID: 24908166     DOI: 10.1016/j.neurobiolaging.2014.05.006

Source DB:  PubMed          Journal:  Neurobiol Aging        ISSN: 0197-4580            Impact factor:   4.673


  62 in total

1.  The neural encoding of formant frequencies contributing to vowel identification in normal-hearing listeners.

Authors:  Jong Ho Won; Kelly Tremblay; Christopher G Clinard; Richard A Wright; Elad Sagi; Mario Svirsky
Journal:  J Acoust Soc Am       Date:  2016-01       Impact factor: 1.840

2.  A novel EEG paradigm to simultaneously and rapidly assess the functioning of auditory and visual pathways.

Authors:  Kristina C Backer; Andrew S Kessler; Laurel A Lawyer; David P Corina; Lee M Miller
Journal:  J Neurophysiol       Date:  2019-07-03       Impact factor: 2.714

3.  From Notes to Vowels: Neural Correlations between Musical Training and Speech Processing.

Authors:  Iliza M Butera
Journal:  J Neurosci       Date:  2015-06-03       Impact factor: 6.167

4.  Listening to the brainstem: musicianship enhances intelligibility of subcortical representations for speech.

Authors:  Michael W Weiss; Gavin M Bidelman
Journal:  J Neurosci       Date:  2015-01-28       Impact factor: 6.167

5.  Age-related hearing loss increases full-brain connectivity while reversing directed signaling within the dorsal-ventral pathway for speech.

Authors:  Gavin M Bidelman; Md Sultan Mahmud; Mohammed Yeasin; Dawei Shen; Stephen R Arnott; Claude Alain
Journal:  Brain Struct Funct       Date:  2019-07-25       Impact factor: 3.270

6.  Top-down or bottom up: decreased stimulus salience increases responses to predictable stimuli of auditory thalamic neurons.

Authors:  Srinivasa P Kommajosyula; Rui Cai; Edward Bartlett; Donald M Caspary
Journal:  J Physiol       Date:  2019-04-21       Impact factor: 5.182

7.  Predicting Speech Recognition Using the Speech Intelligibility Index and Other Variables for Cochlear Implant Users.

Authors:  Sungmin Lee; Lisa Lucks Mendel; Gavin M Bidelman
Journal:  J Speech Lang Hear Res       Date:  2019-05-21       Impact factor: 2.297

8.  Evidence for enhanced neural tracking of the speech envelope underlying age-related speech-in-noise difficulties.

Authors:  Lien Decruy; Jonas Vanthornhout; Tom Francart
Journal:  J Neurophysiol       Date:  2019-05-29       Impact factor: 2.714

9.  Inherent auditory skills rather than formal music training shape the neural encoding of speech.

Authors:  Kelsey Mankel; Gavin M Bidelman
Journal:  Proc Natl Acad Sci U S A       Date:  2018-12-03       Impact factor: 11.205

Review 10.  Subcortical pathways: Towards a better understanding of auditory disorders.

Authors:  Richard A Felix; Boris Gourévitch; Christine V Portfors
Journal:  Hear Res       Date:  2018-01-31       Impact factor: 3.208

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