Translation of surface electromyography into a clinically applicable objective bulbar assessment tool to improve measurement-based care in amyotrophic laterals sclerosis

Objective: This study aims to translate surface electromyography (sEMG) into a clinically applicable, objective tool for assessing bulbar involvement in amyotrophic lateral sclerosis (ALS). Methods: ; (2) associations with standardized functional outcomes and a biomechanical metric-stiffness-via mediation analysis; (3) discriminatory efficacy in distinguishing ALS+B and ALS-B from HC, as well as from each other, using machine learning classifications; and (4) robustness to common nonmotor confounders, including age, sex, and cognitive-linguistic impairments, through a comparison of discriminatory performance before and after adjustment for these factors. Results: ), (2) significant (or marginally significant) direct or stiffness-mediated indirect associations with the functional outcomes, and (3) consistently high discriminatory accuracy (0.82-0.85), both before and after adjustment for confounders. Conclusion: The sEMG framework demonstrates strong potential as a reliable, valid, and robust objective tool to detect subclinical neuromuscular changes throughout the prodromal and symptomatic phases of bulbar involvement in ALS, while remaining resistant against disease-related cognitive-linguistic impairments and disease-unrelated confounders. This tool may augment standard clinical evaluations, enabling earlier detection of bulbar involvement and measurement-based care in ALS.

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Publication Details

Journal
Frontiers in Neuroscience
Published
2026-04-10
DOI
https://doi.org/10.3389/fnins.2026.1784520
Primary Topic
Amyotrophic Lateral Sclerosis Research
Type
article
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article

Translation of surface electromyography into a clinically applicable objective bulbar assessment tool to improve measurement-based care in amyotrophic laterals sclerosis

Lindsey Heidrick, Panying Rong, Gary Pattee
Frontiers in Neuroscience
Amyotrophic Lateral Sclerosis Research
article

Translation of surface electromyography into a clinically applicable objective bulbar assessment tool to improve measurement-based care in amyotrophic laterals sclerosis

Lindsey Heidrick, Panying Rong, Gary Pattee
article en

Abstract

Objective: This study aims to translate surface electromyography (sEMG) into a clinically applicable, objective tool for assessing bulbar involvement in amyotrophic lateral sclerosis (ALS). Methods: ; (2) associations with standardized functional outcomes and a biomechanical metric-stiffness-via mediation analysis; (3) discriminatory efficacy in distinguishing ALS+B and ALS-B from HC, as well as from each other, using machine learning classifications; and (4) robustness to common nonmotor confounders, including age, sex, and cognitive-linguistic impairments, through a comparison of discriminatory performance before and after adjustment for these factors. Results: ), (2) significant (or marginally significant) direct or stiffness-mediated indirect associations with the functional outcomes, and (3) consistently high discriminatory accuracy (0.82-0.85), both before and after adjustment for confounders. Conclusion: The sEMG framework demonstrates strong potential as a reliable, valid, and robust objective tool to detect subclinical neuromuscular changes throughout the prodromal and symptomatic phases of bulbar involvement in ALS, while remaining resistant against disease-related cognitive-linguistic impairments and disease-unrelated confounders. This tool may augment standard clinical evaluations, enabling earlier detection of bulbar involvement and measurement-based care in ALS.

Frontiers in NeuroscienceVol. 20
University of Kansas (US), Capital Cardiology Associates (US), University of Kansas Medical Center (US)
Reduced inequalities
Openalex Percentile: Top 22%
Amyotrophic Lateral Sclerosis Research
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Translation of surface electromyography into a clinically applicable objective bulbar assessment tool to improve measurement-based care in amyotrophic laterals sclerosis — Lindsey Heidrick, Panying Rong, et al. · Frontiers in Neuroscience (2026) | TGRS Research Map | TGRS