Processing of Degraded Speech in Brain Disorders

The speech we hear every day is typically “degraded” by competing sounds and the idiosyncratic vocal characteristics of individual speakers. While the comprehension of “degraded” speech is normally automatic, it depends on dynamic and adaptive processing across distributed neural networks. This pres...

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Main Authors: Jessica Jiang, Elia Benhamou, Sheena Waters, Jeremy C. S. Johnson, Anna Volkmer, Rimona S. Weil, Charles R. Marshall, Jason D. Warren, Chris J. D. Hardy
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Brain Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3425/11/3/394
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author Jessica Jiang
Elia Benhamou
Sheena Waters
Jeremy C. S. Johnson
Anna Volkmer
Rimona S. Weil
Charles R. Marshall
Jason D. Warren
Chris J. D. Hardy
author_facet Jessica Jiang
Elia Benhamou
Sheena Waters
Jeremy C. S. Johnson
Anna Volkmer
Rimona S. Weil
Charles R. Marshall
Jason D. Warren
Chris J. D. Hardy
author_sort Jessica Jiang
collection DOAJ
description The speech we hear every day is typically “degraded” by competing sounds and the idiosyncratic vocal characteristics of individual speakers. While the comprehension of “degraded” speech is normally automatic, it depends on dynamic and adaptive processing across distributed neural networks. This presents the brain with an immense computational challenge, making degraded speech processing vulnerable to a range of brain disorders. Therefore, it is likely to be a sensitive marker of neural circuit dysfunction and an index of retained neural plasticity. Considering experimental methods for studying degraded speech and factors that affect its processing in healthy individuals, we review the evidence for altered degraded speech processing in major neurodegenerative diseases, traumatic brain injury and stroke. We develop a predictive coding framework for understanding deficits of degraded speech processing in these disorders, focussing on the “language-led dementias”—the primary progressive aphasias. We conclude by considering prospects for using degraded speech as a probe of language network pathophysiology, a diagnostic tool and a target for therapeutic intervention.
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spelling doaj.art-86eedcbbc0334875b831862a08836a6b2023-11-21T11:17:49ZengMDPI AGBrain Sciences2076-34252021-03-0111339410.3390/brainsci11030394Processing of Degraded Speech in Brain DisordersJessica Jiang0Elia Benhamou1Sheena Waters2Jeremy C. S. Johnson3Anna Volkmer4Rimona S. Weil5Charles R. Marshall6Jason D. Warren7Chris J. D. Hardy8Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London WC1N 3BG, UKDementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London WC1N 3BG, UKPreventive Neurology Unit, Wolfson Institute of Preventive Medicine, Queen Mary University of London, London EC1M 6BQ, UKDementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London WC1N 3BG, UKDivision of Psychology and Language Sciences, University College London, London WC1H 0AP, UKDementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London WC1N 3BG, UKDementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London WC1N 3BG, UKDementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London WC1N 3BG, UKDementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London WC1N 3BG, UKThe speech we hear every day is typically “degraded” by competing sounds and the idiosyncratic vocal characteristics of individual speakers. While the comprehension of “degraded” speech is normally automatic, it depends on dynamic and adaptive processing across distributed neural networks. This presents the brain with an immense computational challenge, making degraded speech processing vulnerable to a range of brain disorders. Therefore, it is likely to be a sensitive marker of neural circuit dysfunction and an index of retained neural plasticity. Considering experimental methods for studying degraded speech and factors that affect its processing in healthy individuals, we review the evidence for altered degraded speech processing in major neurodegenerative diseases, traumatic brain injury and stroke. We develop a predictive coding framework for understanding deficits of degraded speech processing in these disorders, focussing on the “language-led dementias”—the primary progressive aphasias. We conclude by considering prospects for using degraded speech as a probe of language network pathophysiology, a diagnostic tool and a target for therapeutic intervention.https://www.mdpi.com/2076-3425/11/3/394degraded speech processingpredictive codingprimary progressive aphasiaAlzheimer’s diseaseParkinson’s diseaseperceptual learning
spellingShingle Jessica Jiang
Elia Benhamou
Sheena Waters
Jeremy C. S. Johnson
Anna Volkmer
Rimona S. Weil
Charles R. Marshall
Jason D. Warren
Chris J. D. Hardy
Processing of Degraded Speech in Brain Disorders
Brain Sciences
degraded speech processing
predictive coding
primary progressive aphasia
Alzheimer’s disease
Parkinson’s disease
perceptual learning
title Processing of Degraded Speech in Brain Disorders
title_full Processing of Degraded Speech in Brain Disorders
title_fullStr Processing of Degraded Speech in Brain Disorders
title_full_unstemmed Processing of Degraded Speech in Brain Disorders
title_short Processing of Degraded Speech in Brain Disorders
title_sort processing of degraded speech in brain disorders
topic degraded speech processing
predictive coding
primary progressive aphasia
Alzheimer’s disease
Parkinson’s disease
perceptual learning
url https://www.mdpi.com/2076-3425/11/3/394
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