Listener effort measures clinically meaningful change of dysarthria in amyotrophic lateral sclerosis

Amyotrophic lateral sclerosis (ALS) is a neurodegenerative motor neuron disease that can cause progressive bulbar dysfunction and dysarthria, resulting in reduced quality of life. Quantitative motor speech analysis can identify features of dysarthria that worsen with ALS progression but are not, inherently, clinically meaningful. Listener effort (LE) is a clinician-rated feature describing how much effort the listener needs to exert to understand the dysarthric speaker. This study investigated whether LE could act as a clinically meaningful measure of ALS dysarthria that could be used as an outcome measure in clinical trials. The Everything ALS Speech Study obtained longitudinal clinical information and speech recordings from 292 participants. In a subset of 125 participants, we measured speaking rate and three speech-language pathologists (SLPs) with expertise in ALS rated LE. We also built and tested a LE prediction algorithm to predict the SLPs' rating of LE. In addition, all speech recordings and associated clinical data are now being made available to ALS researchers via the Everything ALS portal. LE intra- and inter-rater reliability was very high (ICC 0.94-0.95). LE correlated with other measures of dysarthria at baseline and changed over time in participants with ALS (slope 0.77 pts/month, SE = 0.15, <i>P</i> < 0.001) but not controls (slope 0.005 pts/month, SE = 0.02, <i>P</i> = 0.807). The slope of LE progression was faster in people with bulbar onset than non-bulbar onset ALS (1.66 points/month versus 0.42 pts/month; <i>P</i> < 0.001) but was similar in all participants who had bulbar dysfunction at baseline, regardless of ALS site of onset (1.52 pts/month for bulbar onset versus 0.98 pts/month for non-bulbar onset with current bulbar involvement; <i>P</i> = 0.36). The LE prediction model predicted the true LE, with an average <i>R</i> <sup>2</sup> of 0.83 ± 0.07. Dysarthria is associated with decreased quality of life in people with ALS. Quantitative measures of dysarthria in ALS could be useful as ALS clinical trial outcome measures, providing insight into the progression of bulbar symptoms. Speaking rate quantifies progression but is variable across speaking stimuli, emotional states and contextual factors. LE is more inherently clinically meaningful, can be measured reliably by SLPs, changes quantitatively over time and is highly reproducible, thus may be useful as a clinical outcome assessment for ALS clinical trials. Furthermore, a LE prediction model is effective at predicting LE scores and should be validated on an external dataset.

Authors

Institutions

Publication Details

Journal
Brain Communications
Published
2025-01-01
DOI
https://doi.org/10.1093/braincomms/fcaf232
Primary Topic
Neurogenetic and Muscular Disorders Research
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Listener effort measures clinically meaningful change of dysarthria in amyotrophic lateral sclerosis

Marcos A. Trevisan, Lyle W. Ostrow, Katie Seaver, Diego E. Shalóm et al.
Brain Communications
Neurogenetic and Muscular Disorders Research
article

Listener effort measures clinically meaningful change of dysarthria in amyotrophic lateral sclerosis

Marcos A. Trevisan, Lyle W. Ostrow, Katie Seaver, Diego E. Shalóm, James D. Berry, Amy Wright, Ernest Fraenkel, Alan Taitz, Michele Merler, Raquel Norel, Jordan R. Green, Carla Agurto, Indu Navar Bingham, Julián Peller, Iair Embon, Donna Harris, Esteban G. Roitberg, Stacey Sullivan, Felipe Aguirre
article en

Abstract

Amyotrophic lateral sclerosis (ALS) is a neurodegenerative motor neuron disease that can cause progressive bulbar dysfunction and dysarthria, resulting in reduced quality of life. Quantitative motor speech analysis can identify features of dysarthria that worsen with ALS progression but are not, inherently, clinically meaningful. Listener effort (LE) is a clinician-rated feature describing how much effort the listener needs to exert to understand the dysarthric speaker. This study investigated whether LE could act as a clinically meaningful measure of ALS dysarthria that could be used as an outcome measure in clinical trials. The Everything ALS Speech Study obtained longitudinal clinical information and speech recordings from 292 participants. In a subset of 125 participants, we measured speaking rate and three speech-language pathologists (SLPs) with expertise in ALS rated LE. We also built and tested a LE prediction algorithm to predict the SLPs' rating of LE. In addition, all speech recordings and associated clinical data are now being made available to ALS researchers via the Everything ALS portal. LE intra- and inter-rater reliability was very high (ICC 0.94-0.95). LE correlated with other measures of dysarthria at baseline and changed over time in participants with ALS (slope 0.77 pts/month, SE = 0.15, <i>P</i> < 0.001) but not controls (slope 0.005 pts/month, SE = 0.02, <i>P</i> = 0.807). The slope of LE progression was faster in people with bulbar onset than non-bulbar onset ALS (1.66 points/month versus 0.42 pts/month; <i>P</i> < 0.001) but was similar in all participants who had bulbar dysfunction at baseline, regardless of ALS site of onset (1.52 pts/month for bulbar onset versus 0.98 pts/month for non-bulbar onset with current bulbar involvement; <i>P</i> = 0.36). The LE prediction model predicted the true LE, with an average <i>R</i> <sup>2</sup> of 0.83 ± 0.07. Dysarthria is associated with decreased quality of life in people with ALS. Quantitative measures of dysarthria in ALS could be useful as ALS clinical trial outcome measures, providing insight into the progression of bulbar symptoms. Speaking rate quantifies progression but is variable across speaking stimuli, emotional states and contextual factors. LE is more inherently clinically meaningful, can be measured reliably by SLPs, changes quantitatively over time and is highly reproducible, thus may be useful as a clinical outcome assessment for ALS clinical trials. Furthermore, a LE prediction model is effective at predicting LE scores and should be validated on an external dataset.

Brain CommunicationsVol. 7(4)
IBM (United States) (US), MGH Institute of Health Professions (US), National University of General San Martín (AR), Massachusetts General Hospital (US), Alliance for Safe Kids (US), Instituto de Neurología Cognitiva (AR), Universidad Nacional de San Martín (PE), ISI Foundation (US), Fundación Ciencias Exactas y Naturales (AR), Massachusetts Institute of Technology (US), Temple University (US)
Sanofi, Muscular Dystrophy Association, Biogen, Alexion Pharmaceuticals, Regeneron Pharmaceuticals, Hope Foundation, National Institutes of Health, Centers for Disease Control and Prevention, National Institute on Deafness and Other Communication Disorders, National Institute of Neurological Disorders and Stroke
Openalex Percentile: Top 81%
Neurogenetic and Muscular Disorders Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.