Speech discrimination impairments as a marker of disease severity in multiple sclerosis.

Cross-Sectional Studies Humans Multiple Sclerosis / complications Noise Severity of Illness Index Speech Perception
Auditory processing deficits Daily communication Disease severity Multiple sclerosis Speech discrimination in noise

Journal

Multiple sclerosis and related disorders
ISSN: 2211-0356
Titre abrégé: Mult Scler Relat Disord
Pays: Netherlands
ID NLM: 101580247

Informations de publication

Date de publication:
Jan 2021
Historique:
received: 08 09 2020
revised: 17 10 2020
accepted: 29 10 2020
pubmed: 15 11 2020
medline: 15 5 2021
entrez: 14 11 2020
Statut: ppublish

Résumé

Multiple Sclerosis (MS) pathology is likely to disrupt central auditory pathways, thereby affecting an individual's ability to discriminate speech from noise. Despite the importance of speech discrimination in daily communication, it's characterization in the context of MS remains limited. This cross-sectional study evaluated speech discrimination in MS under "real world" conditions where sentences were presented in ecologically valid multi-talker speech or broadband noise at several signal-to-noise ratios (SNRs). Pre-recorded Bamford-Kowal-Bench sentences were presented at five signal-to-noise ratios (SNR) in one of two background noises: speech-weighted noise and eight-talker babble. All auditory stimuli were presented via headphones to control (n = 38) and MS listeners with mild (n = 20), moderate (n = 16) and advanced (n = 10) disability. Disability was quantified by the Kurtzke Expanded Disability Status Scale (EDSS) and scored by a neurologist. All participants passed a routine audiometric examination. Despite normal hearing, MS psychometric discrimination curves which model the relationship between signal-to-noise ratio (SNR) and sentence discrimination accuracy in speech-weighted noise and babble did not change in slope (sentences/dB) but shifted to higher SNRs (dB) compared to controls. The magnitude of the shift in the curve systematically increased with greater disability. Furthermore, mixed-effects models identified EDSS score as the most significant predictor of speech discrimination in noise (odds ratio = 0.81; p < 0.001). Neither age, sex, disease phenotype or disease duration were significantly associated with speech discrimination performance in noise. Only MS listeners with advanced disability self-reported audio-attentional difficulty in a questionnaire designed to reflect auditory processing behaviours in daily life. Speech discrimination performance worsened systematically with greater disability, independent of age, sex, education, disease duration or disease phenotype. These results identify novel auditory processing deficits in MS and highlight that speech discrimination tasks may provide a viable non-invasive and sensitive means for disease monitoring in MS.

Sections du résumé

BACKGROUND BACKGROUND
Multiple Sclerosis (MS) pathology is likely to disrupt central auditory pathways, thereby affecting an individual's ability to discriminate speech from noise. Despite the importance of speech discrimination in daily communication, it's characterization in the context of MS remains limited. This cross-sectional study evaluated speech discrimination in MS under "real world" conditions where sentences were presented in ecologically valid multi-talker speech or broadband noise at several signal-to-noise ratios (SNRs).
METHODS METHODS
Pre-recorded Bamford-Kowal-Bench sentences were presented at five signal-to-noise ratios (SNR) in one of two background noises: speech-weighted noise and eight-talker babble. All auditory stimuli were presented via headphones to control (n = 38) and MS listeners with mild (n = 20), moderate (n = 16) and advanced (n = 10) disability. Disability was quantified by the Kurtzke Expanded Disability Status Scale (EDSS) and scored by a neurologist. All participants passed a routine audiometric examination.
RESULTS RESULTS
Despite normal hearing, MS psychometric discrimination curves which model the relationship between signal-to-noise ratio (SNR) and sentence discrimination accuracy in speech-weighted noise and babble did not change in slope (sentences/dB) but shifted to higher SNRs (dB) compared to controls. The magnitude of the shift in the curve systematically increased with greater disability. Furthermore, mixed-effects models identified EDSS score as the most significant predictor of speech discrimination in noise (odds ratio = 0.81; p < 0.001). Neither age, sex, disease phenotype or disease duration were significantly associated with speech discrimination performance in noise. Only MS listeners with advanced disability self-reported audio-attentional difficulty in a questionnaire designed to reflect auditory processing behaviours in daily life.
CONCLUSION CONCLUSIONS
Speech discrimination performance worsened systematically with greater disability, independent of age, sex, education, disease duration or disease phenotype. These results identify novel auditory processing deficits in MS and highlight that speech discrimination tasks may provide a viable non-invasive and sensitive means for disease monitoring in MS.

Identifiants

DOI: 10.1016/j.msard.2020.102608 PMID: 33189020
pubmed: 33189020
pii: S2211-0348(20)30682-9
doi: 10.1016/j.msard.2020.102608
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

102608

Informations de copyright

Copyright © 2020. Published by Elsevier B.V.

Auteurs

Pippa Iva (P)

Neuroscience Discovery Program, Biomedicine Discovery Institute, Department of Physiology, Monash University, Melbourne, Australia. Electronic address: pippa.iva@monash.edu.

Joanne Fielding (J)

Department of Neurosciences, Central Clinical School, Alfred Hospital, Monash University, Melbourne, Australia.

Meaghan Clough (M)

Department of Neurosciences, Central Clinical School, Alfred Hospital, Monash University, Melbourne, Australia.

Owen White (O)

Department of Neurosciences, Central Clinical School, Alfred Hospital, Monash University, Melbourne, Australia.

Gustavo Noffs (G)

Centre for Neuroscience of Speech, University of Melbourne, Melbourne, Australia.

Branislava Godic (B)

Neuroscience Discovery Program, Biomedicine Discovery Institute, Department of Physiology, Monash University, Melbourne, Australia.

Russell Martin (R)

Neuroscience Discovery Program, Biomedicine Discovery Institute, Department of Physiology, Monash University, Melbourne, Australia.

Anneke van der Walt (A)

Department of Neurosciences, Central Clinical School, Alfred Hospital, Monash University, Melbourne, Australia.

Ramesh Rajan (R)

Neuroscience Discovery Program, Biomedicine Discovery Institute, Department of Physiology, Monash University, Melbourne, Australia.

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Classifications MeSH

questionsmedicales.fr › Environnement et santé publique › Santé publique › Méthodes épidémiologiques › Caractéristiques des études épidémiologiques › Études épidémiologiques › Études transversales › Speech discrimination impairments as a marker...
questionsmedicales.fr › Eucaryotes › Animaux › Chordés › Vertébrés › Mammifères › Eutheria › Primates › Haplorhini › Catarrhini › Hominidae › Humains › Speech discrimination impairments as a marker...
questionsmedicales.fr › Maladies du système immunitaire › Maladies auto-immunes › Maladies auto-immunes du système nerveux › Maladies démyélinisantes auto-immunes du SNC › Sclérose en plaques › Speech discrimination impairments as a marker...
questionsmedicales.fr › Environnement et santé publique › Santé publique › Pollution de l'environnement › Bruit › Speech discrimination impairments as a marker...
questionsmedicales.fr › Environnement et santé publique › Santé publique › Méthodes épidémiologiques › Collecte de données › Enquêtes et questionnaires › Enquêtes de santé › Indicateurs d'état de santé › Acuité des besoins du patient › Indice de gravité de la maladie › Speech discrimination impairments as a marker...
questionsmedicales.fr › Phénomènes physiologiques › Phénomènes physiologiques vestibulocochléaires › Perception auditive › Perception de la parole › Speech discrimination impairments as a marker...