Evidence map›Paper›PMID 40920226›Full record

ArticleJournal of neuromuscular diseases2026

Electrical impedance myography captures features of muscle structure measured by MRI and transcriptomic analysis in facioscapulohumeral muscular dystrophy.

Leo H Wang, Buket Sonbas Cobb, Lara Riem, Olivia DuCharme, Dennis Ww Shaw, Michaela Walker, Katy Eichinger, Leann Lewis, Rabi Tawil, Johanna I Hamel and 6 more

Abstract readMulticenter Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of neuromuscular diseases, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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0cells of the map it votes in
3citing 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

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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

3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

16 authors.

Leo H WangDepartment of Neurology, University of Washington, Seattle, Washington, USA.ORCID 0000-0002-5079-1416
Buket Sonbas CobbDepartment of Electrical and Electronic Engineering, Harran University, Sanliurfa, Turkey.ORCID 0000-0001-7335-0616
Lara RiemSpringbok Analytics, Charlottesville, VA, USA.
Olivia DuCharmeSpringbok Analytics, Charlottesville, VA, USA.
Dennis Ww ShawDepartment of Radiology, University of Washington, Seattle, Washington, USA.
Michaela WalkerDepartment of Neurology, University of Kansas Medical Center, Kansas City, KS, USA.ORCID 0000-0003-1197-1657
Katy EichingerDepartment of Neurology, University of Rochester, Rochester, New York, USA.
Leann LewisDepartment of Neurology, University of Rochester, Rochester, New York, USA.
Rabi TawilDepartment of Neurology, University of Rochester, Rochester, New York, USA.
Johanna I HamelDepartment of Neurology, University of Rochester, Rochester, New York, USA.ORCID 0000-0002-4851-7637
Karlien MulDepartment of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands.ORCID 0000-0001-8487-9478
Silvia S BlemkerSpringbok Analytics, Charlottesville, VA, USA.
Stephen J TapscottHuman Biology Division, Fred Hutchinson Research Center, Seattle, Washington, USA.
Seth D FriedmanSeattle Children's Hospital, Seattle, Washington, USA.
Seward B RutkoveDepartment of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.ORCID 0000-0002-6375-3312
Jeffrey M StatlandDepartment of Neurology, University of Kansas Medical Center, Kansas City, KS, USA.

Funding

Wellstone Muscular Dystrophy Specialized Research Center (Seattle)P50AR065139 · NIAMS · UNIVERSITY OF WASHINGTON · PI JEFFREY S CHAMBERLAIN · 2018 to 2026
$15.9M
NIAMS NIH HHS P50 AR065139
6 · The paper itself

Abstract

backgroundElectrical impedance myography (EIM) has been proposed as an efficient, non-invasive biomarker of muscle composition in facioscapulohumeral muscular dystrophy (FSHD).

objectiveWe investigate whether EIM parameters are associated with muscle structure measured by magnetic resonance imaging (MRI), muscle histology, and transcriptomic analysis as well as strength at the individual leg muscle level.

methodsWe performed a multi-center cross-sectional study enrolling 33 patients with FSHD. EIM measurements were recorded from bilateral vastus lateralis, tibialis anterior (TA), and medial gastrocnemius muscles and compared to quantitative muscle volume measures by MRI as well as knee extension and ankle dorsiflexion strength by quantitative muscle testing. EIM measurements of the bilateral TA were further compared to histology and transcriptomic analysis (RNAseq) of muscle and fat content.

resultsEIM phase at multiple frequencies was positively associated to the amount of muscle measured by MRI (ρ = 0.48 to 0.70,

conclusionsThis study supports the hypothesis that the amount and quality of muscle tissue as assessed by EIM is associated with the amount and quality of muscle tissues as assessed by MRI and muscle biopsy, with all measures ultimately being strongly associated with muscle strength. These data provide further convergent validity for the use of EIM as a potential non-invasive biomarker to assess muscle health in FSHD.

Indexed as

Electric ImpedanceMuscle, SkeletalMuscular Dystrophy, FacioscapulohumeralMyographyAdultCross-Sectional StudiesFemaleGene Expression ProfilingHumansMagnetic Resonance ImagingMaleMiddle AgedMuscle StrengthTranscriptomeall neuromuscular diseasebiomarkerelectric impedancefacioscapulohumeral muscular dystrophy (FSHD)magnetic resonance imagingmuscle diseaseoutcome measures

Identifiers

PMID40920226
PMCPMC13438509

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