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Pippa Iva¹, Joanne Fielding², Meaghan Clough²

¹Neuroscience Discovery Program, Biomedicine Discovery Institute, Department of Physiology, Monash University, Melbourne, Australia.

|December 15, 2020

Summary

This summary is machine-generated.

This study introduces a dataset on speech-in-noise perception for people with multiple sclerosis (pwMS), revealing challenges in auditory processing. Findings aid in understanding communication difficulties and developing support for pwMS.

Keywords:

Audiometry Auditory perception Biomarkers Central auditory processing Multiple sclerosis Psychoacoustics Speech discrimination

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Area of Science:

Audiology
Neuroscience
Speech and Hearing Sciences

Background:

Speech comprehension in noise is crucial for daily life.
Multiple sclerosis (MS) can impair auditory networks, affecting speech-in-noise (SiN) perception.
Limited research exists on SiN perception in people with MS (pwMS).

Purpose of the Study:

To present a dataset on pure-tone hearing thresholds, SiN performance, and questionnaire responses in pwMS and controls.
To investigate the impact of MS on auditory processing and SiN abilities.
To provide data for future research on SiN tasks for monitoring MS progression.

Main Methods:

Collected bilateral pure-tone hearing thresholds across various frequencies.
Assessed SiN performance using Bamford-Kowal-Bench (BKB) sentences in two noise conditions at multiple SNRs.
Administered a questionnaire on daily auditory processing and grouped pwMS by Expanded Disability Status Scale (EDSS) scores.

Main Results:

The dataset includes hearing thresholds, SiN performance, and questionnaire data from controls and pwMS.
PwMS were categorized into mild, moderate, and advanced disability groups based on EDSS scores.
The data is intended for reuse and reanalysis in future studies.

Conclusions:

This dataset is valuable for understanding communication challenges in pwMS.
It can inform the timing and delivery of educational support for patients, families, and caregivers.
The data may facilitate future investigations into the clinical utility of SiN tasks for disease monitoring.