Literature DB >> 31705894

Auditory-frontal Channeling in α and β Bands is Altered by Age-related Hearing Loss and Relates to Speech Perception in Noise.

Caitlin N Price1, Claude Alain2, Gavin M Bidelman3.   

Abstract

Difficulty understanding speech-in-noise (SIN) is a pervasive problem faced by older adults particularly those with hearing loss. Previous studies have identified structural and functional changes in the brain that contribute to older adults' speech perception difficulties. Yet, many of these studies use neuroimaging techniques that evaluate only gross activation in isolated brain regions. Neural oscillations may provide further insight into the processes underlying SIN perception as well as the interaction between auditory cortex and prefrontal linguistic brain regions that mediate complex behaviors. We examined frequency-specific neural oscillations and functional connectivity of the EEG in older adults with and without hearing loss during an active SIN perception task. Brain-behavior correlations revealed listeners who were more resistant to the detrimental effects of noise also demonstrated greater modulation of α phase coherence between clean and noise-degraded speech, suggesting α desynchronization reflects release from inhibition and more flexible allocation of neural resources. Additionally, we found top-down β connectivity between prefrontal and auditory cortices strengthened with poorer hearing thresholds despite minimal behavioral differences. This is consistent with the proposal that linguistic brain areas may be recruited to compensate for impoverished auditory inputs through increased top-down predictions to assist SIN perception. Overall, these results emphasize the importance of top-down signaling in low-frequency brain rhythms that help compensate for hearing-related declines and facilitate efficient SIN processing.
Copyright © 2019 IBRO. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  EEG; cognitive aging; functional connectivity; neural oscillations; speech processing; time–frequency analysis

Mesh:

Year:  2019        PMID: 31705894      PMCID: PMC6900454          DOI: 10.1016/j.neuroscience.2019.10.044

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


  10 in total

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2.  Unique patterns of hearing loss and cognition in older adults' neural responses to cues for speech recognition difficulty.

Authors:  Mark A Eckert; Susan Teubner-Rhodes; Kenneth I Vaden; Jayne B Ahlstrom; Carolyn M McClaskey; Judy R Dubno
Journal:  Brain Struct Funct       Date:  2021-10-10       Impact factor: 3.748

3.  Decoding of single-trial EEG reveals unique states of functional brain connectivity that drive rapid speech categorization decisions.

Authors:  Rakib Al-Fahad; Mohammed Yeasin; Gavin M Bidelman
Journal:  J Neural Eng       Date:  2020-02-05       Impact factor: 5.379

4.  Speech categorization is better described by induced rather than evoked neural activity.

Authors:  Md Sultan Mahmud; Mohammed Yeasin; Gavin M Bidelman
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5.  Auditory cortex is susceptible to lexical influence as revealed by informational vs. energetic masking of speech categorization.

Authors:  Jared A Carter; Gavin M Bidelman
Journal:  Brain Res       Date:  2021-02-23       Impact factor: 3.252

Review 6.  Enhanced brainstem phase-locking in low-level noise reveals stochastic resonance in the frequency-following response (FFR).

Authors:  Bhanu Shukla; Gavin M Bidelman
Journal:  Brain Res       Date:  2021-08-30       Impact factor: 3.252

7.  Transcranial Direct Current Stimulation Combined With Listening to Preferred Music Alters Cortical Speech Processing in Older Adults.

Authors:  Gavin M Bidelman; Ricky Chow; Alix Noly-Gandon; Jennifer D Ryan; Karen L Bell; Rose Rizzi; Claude Alain
Journal:  Front Neurosci       Date:  2022-07-06       Impact factor: 5.152

8.  Dichotic listening deficits in amblyaudia are characterized by aberrant neural oscillations in auditory cortex.

Authors:  Sara Momtaz; Deborah Moncrieff; Gavin M Bidelman
Journal:  Clin Neurophysiol       Date:  2021-06-04       Impact factor: 4.861

9.  Decoding Hearing-Related Changes in Older Adults' Spatiotemporal Neural Processing of Speech Using Machine Learning.

Authors:  Md Sultan Mahmud; Faruk Ahmed; Rakib Al-Fahad; Kazi Ashraf Moinuddin; Mohammed Yeasin; Claude Alain; Gavin M Bidelman
Journal:  Front Neurosci       Date:  2020-07-16       Impact factor: 4.677

10.  Screening Tools and Assessment Methods of Cognitive Decline Associated With Age-Related Hearing Loss: A Review.

Authors:  Tao Yue; Yu Chen; Qi Zheng; Zihao Xu; Wei Wang; Guangjian Ni
Journal:  Front Aging Neurosci       Date:  2021-07-14       Impact factor: 5.750

  10 in total

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