Evidence map›Paper›PMID 42040341›Full record

ArticleFrontiers in neuroscience2026

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

Panying Rong, Lindsey Heidrick, Gary Pattee

Abstract read
In one paragraph

Article in Frontiers in neuroscience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Panying RongDepartment of Speech-Language-Hearing: Sciences and Disorders, University of Kansas, Lawrence, KS, United States.
Lindsey HeidrickDepartment of Hearing and Speech, University of Kansas Medical Center, Kansas City, KS, United States.
Gary PatteeNeurology Associates P.C., Lincoln, NE, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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: A clinically grounded sEMG framework was developed, integrating a standardized, repeatable protocol with a novel analytic pipeline, to automatically extract 60 features from six craniofacial muscle groups during a set of motorically demanding but cognitively and linguistically less challenging oral diadochokinetic (DDK) tasks. Using this framework, 104 oral DDK recordings were acquired from 16 individuals with ALS-nine with overt bulbar symptoms (ALS+B) and seven without (ALS-B)-and 10 healthy controls (HCs). The sEMG features were clustered into 10 interpretable composite measures and validated by evaluating their (1) internal consistency using Cronbach's Results: All composite measures exhibited (1) high internal consistency (Cronbach's 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.

Indexed as

amyotrophic lateral sclerosisautomated analysisbiomarkerbulbar involvementmachine learningneurodegenerative diseaseobjective measurementsurface electromyography

Identifiers

PMID42040341
PMCPMC13106279

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.