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Speech discrimination performance in multiple sclerosis dataset

The most complex interactions between human beings occur through speech, and often in the presence of background noise. Understanding speech in noisy environments requires the integrity of highly integrated and widespread auditory networks likely to be impacted by multiple sclerosis (MS) related neu...

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Autores principales: Iva, Pippa, Fielding, Joanne, Clough, Meaghan, White, Owen, Noffs, Gustavo, Godic, Branislava, Martin, Russell, van der Walt, Anneke, Rajan, Ramesh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7726651/
https://www.ncbi.nlm.nih.gov/pubmed/33318987
http://dx.doi.org/10.1016/j.dib.2020.106614
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author Iva, Pippa
Fielding, Joanne
Clough, Meaghan
White, Owen
Noffs, Gustavo
Godic, Branislava
Martin, Russell
van der Walt, Anneke
Rajan, Ramesh
author_facet Iva, Pippa
Fielding, Joanne
Clough, Meaghan
White, Owen
Noffs, Gustavo
Godic, Branislava
Martin, Russell
van der Walt, Anneke
Rajan, Ramesh
author_sort Iva, Pippa
collection PubMed
description The most complex interactions between human beings occur through speech, and often in the presence of background noise. Understanding speech in noisy environments requires the integrity of highly integrated and widespread auditory networks likely to be impacted by multiple sclerosis (MS) related neurogenic injury. Despite the impact auditory communication has on a person's ability to navigate the world, build relationships, and maintain employability; studies of speech-in-noise (SiN) perception in people with MS (pwMS) have been minimal to date. Thus, this paper presents a dataset related to the acquisition of pure-tone thresholds, SiN performance and questionnaire responses in age-matched controls and pwMS. Bilateral pure-tone hearing thresholds were obtained at frequencies of 250 hertz (Hz), 500 Hz, 750 Hz, 1000 Hz, 1500 Hz, 2000 Hz, 4000 Hz, 6000 Hz and 8000 Hz, and hearing thresholds were defined as the lowest level at which the tone was perceived 50% of the time. Thresholds at 500 Hz, 1000 Hz, 2000 Hz and 4000 Hz were used to calculate the four-tone average for each participant, and only those with a bilateral four tone average of ≤ 25 dB HL were included in the analysis. To investigate SiN performance in pwMS, pre-recorded Bamford-Kowal-Bench (BKB) sentences were presented binaurally through headphones at five signal-to-noise ratios (SNR) in two noise conditions: speech-weighted noise and multi-talker babble. Participants were required to verbally repeat each sentence they had just heard; or indicate their inability to do so. A 33-item questionnaire, based on validated inventories for specific adult clinical populations with abnormal auditory processing, was used to evaluate auditory processing in daily life for pwMS. For analysis, pwMS were grouped according to their Expanded Disability Status Scale (EDSS) score as rated by a neurologist. PwMS with EDSS scores ≤ 1.5 were classified as ‘mild’ (n = 20); between 2 and 4.5 as ‘moderate’ (n = 16) and between 5 and 7 as ‘advanced’ (n = 10) and were compared to neurologically healthy controls (n = 38). The outcomes of the SiN task conducted in pwMS can be found in Iva et al., (2021). The present data has important implications for the timing and delivery of preparatory education to patients, family, and caregivers about communication abilities in pwMS. This dataset will also be valuable for the reuse/reanalysis required for future investigations into the clinical utility of SiN tasks to monitor disease progression.
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spelling pubmed-77266512020-12-13 Speech discrimination performance in multiple sclerosis dataset Iva, Pippa Fielding, Joanne Clough, Meaghan White, Owen Noffs, Gustavo Godic, Branislava Martin, Russell van der Walt, Anneke Rajan, Ramesh Data Brief Data Article The most complex interactions between human beings occur through speech, and often in the presence of background noise. Understanding speech in noisy environments requires the integrity of highly integrated and widespread auditory networks likely to be impacted by multiple sclerosis (MS) related neurogenic injury. Despite the impact auditory communication has on a person's ability to navigate the world, build relationships, and maintain employability; studies of speech-in-noise (SiN) perception in people with MS (pwMS) have been minimal to date. Thus, this paper presents a dataset related to the acquisition of pure-tone thresholds, SiN performance and questionnaire responses in age-matched controls and pwMS. Bilateral pure-tone hearing thresholds were obtained at frequencies of 250 hertz (Hz), 500 Hz, 750 Hz, 1000 Hz, 1500 Hz, 2000 Hz, 4000 Hz, 6000 Hz and 8000 Hz, and hearing thresholds were defined as the lowest level at which the tone was perceived 50% of the time. Thresholds at 500 Hz, 1000 Hz, 2000 Hz and 4000 Hz were used to calculate the four-tone average for each participant, and only those with a bilateral four tone average of ≤ 25 dB HL were included in the analysis. To investigate SiN performance in pwMS, pre-recorded Bamford-Kowal-Bench (BKB) sentences were presented binaurally through headphones at five signal-to-noise ratios (SNR) in two noise conditions: speech-weighted noise and multi-talker babble. Participants were required to verbally repeat each sentence they had just heard; or indicate their inability to do so. A 33-item questionnaire, based on validated inventories for specific adult clinical populations with abnormal auditory processing, was used to evaluate auditory processing in daily life for pwMS. For analysis, pwMS were grouped according to their Expanded Disability Status Scale (EDSS) score as rated by a neurologist. PwMS with EDSS scores ≤ 1.5 were classified as ‘mild’ (n = 20); between 2 and 4.5 as ‘moderate’ (n = 16) and between 5 and 7 as ‘advanced’ (n = 10) and were compared to neurologically healthy controls (n = 38). The outcomes of the SiN task conducted in pwMS can be found in Iva et al., (2021). The present data has important implications for the timing and delivery of preparatory education to patients, family, and caregivers about communication abilities in pwMS. This dataset will also be valuable for the reuse/reanalysis required for future investigations into the clinical utility of SiN tasks to monitor disease progression. Elsevier 2020-12-03 /pmc/articles/PMC7726651/ /pubmed/33318987 http://dx.doi.org/10.1016/j.dib.2020.106614 Text en © 2020 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Data Article
Iva, Pippa
Fielding, Joanne
Clough, Meaghan
White, Owen
Noffs, Gustavo
Godic, Branislava
Martin, Russell
van der Walt, Anneke
Rajan, Ramesh
Speech discrimination performance in multiple sclerosis dataset
title Speech discrimination performance in multiple sclerosis dataset
title_full Speech discrimination performance in multiple sclerosis dataset
title_fullStr Speech discrimination performance in multiple sclerosis dataset
title_full_unstemmed Speech discrimination performance in multiple sclerosis dataset
title_short Speech discrimination performance in multiple sclerosis dataset
title_sort speech discrimination performance in multiple sclerosis dataset
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7726651/
https://www.ncbi.nlm.nih.gov/pubmed/33318987
http://dx.doi.org/10.1016/j.dib.2020.106614
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