Evidence map›Paper›PMID 42432423›Full record

ArticleMuscle & nerve2026

Quantitative Spatiotemporal Analysis of Ultrasound Images of Fasciculations in ALS.

Ryosuke Sugisawa, Kenji Sekiguchi, Yoshikatsu Noda, Shun Matoba, Hirotomo Suehiro, Jun Kozuki, Tomoko Tanaka, Norio Chihara

Abstract read
In one paragraph

Article in Muscle & nerve, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Ryosuke SugisawaDivision of Neurology, Kobe University Graduate School of Medicine, Kobe, Hyogo, Japan.
Kenji SekiguchiDivision of Neurology, Kobe University Graduate School of Medicine, Kobe, Hyogo, Japan.ORCID https://orcid.org/0000-0003-4100-7316
Yoshikatsu NodaDivision of Neurology, Kobe University Graduate School of Medicine, Kobe, Hyogo, Japan.
Shun MatobaDivision of Neurology, Kobe University Graduate School of Medicine, Kobe, Hyogo, Japan.
Hirotomo SuehiroDivision of Neurology, Kobe University Graduate School of Medicine, Kobe, Hyogo, Japan.
Jun KozukiDivision of Neurology, Kobe University Graduate School of Medicine, Kobe, Hyogo, Japan.
Tomoko TanakaDivision of Neurology, Kobe University Graduate School of Medicine, Kobe, Hyogo, Japan.
Norio ChiharaDivision of Neurology, Kobe University Graduate School of Medicine, Kobe, Hyogo, Japan.

Funding

Japan Agency for Medical Research and Development JP256f0137011Japan Society for the Promotion of Science 24K14297Japan Society for the Promotion of Science 25K14534
6 · The paper itself

Abstract

INTRODUCTION/

aimsFasciculations are a hallmark of amyotrophic lateral sclerosis (ALS), yet quantitative description of individual events on muscle ultrasound (MUS) is limited. We characterized the spatiotemporal kinematics of individual fasciculations to determine whether they differ between ALS and other neurogenic conditions.

methodsWe retrospectively analyzed biceps brachii MUS recordings from 680 examinations (January 2020-June 2025), identifying 74 ALS and 40 non-ALS neurogenic recordings with fasciculations (167 and 62 segments). After propensity score matching for age and muscle strength, 62 matched pairs were analyzed. The Lucas-Kanade optical flow algorithm, which estimates frame-to-frame displacement vectors from local intensity gradients, was applied at 1-pixel intervals (57,600 points per 240 × 240 region; ≈60 μm) to quantify twitch durations, peak displacement velocity, and directional anisotropy as a measure of spatial movement coherence.

resultsALS fasciculations showed prolonged total duration (582.8 ± 112.8 ms vs. 489.2 ± 128.7 ms, p < 0.001), reduced directional anisotropy (0.534 ± 0.245 vs. 0.627 ± 0.215, p = 0.028), and lower peak displacement velocity (6.55 ± 6.56 vs. 9.53 ± 9.07 μm/ms, p = 0.039). MANOVA showed significant multivariate differences (Pillai's trace = 0.317 ± 0.030, p < 0.001) with moderate group separation (Mahalanobis distance = 1.10 ± 0.05). DISCUSSION: ALS fasciculations showed spatially heterogeneous and temporally prolonged contraction patterns, suggesting motor units in a transitional state of incomplete reinnervation, distinct from the more stable architecture of chronic neurogenic disorders. This framework may complement existing ultrasound assessment and aid the study of motor unit pathology in ALS.

Indexed as

Amyotrophic Lateral SclerosisFasciculationMuscle, SkeletalAgedBiomechanical PhenomenaFemaleHumansMaleMiddle AgedRetrospective StudiesSpatio-Temporal AnalysisUltrasonographyamyotrophic lateral sclerosisfasciculationmotion trackingmuscle ultrasoundquantitative imaging

Identifiers

PMID42432423
PMCPMC13471888

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