Evidence map›Paper›PMID 40119581›Full record

ArticlePhysiological reports2025

Fasciculation distribution in a healthy population assessed with diffusion tensor imaging.

Linda Heskamp, Lara Schlaffke, Johannes Forsting, Boudewijn T H M Sleutjes, H Stephan Goedee, Martijn Froeling

Abstract read
In one paragraph

Article in Physiological reports, 2025. 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

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

1 citing paper in PubMed.

  1. Article
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

6 authors.

Linda HeskampCenter for Image Sciences, Precision Imaging Group, Division Imaging & Oncology, University Medical Centre Utrecht, Utrecht, The Netherlands.ORCID 0000-0002-6828-9336
Lara SchlaffkeDepartment of Neurology, BG-University Hospital Bergmannsheil gGmbH, Bochum, Germany.
Johannes ForstingDepartment of Neurology, BG-University Hospital Bergmannsheil gGmbH, Bochum, Germany.
Boudewijn T H M SleutjesDepartment of Neurology and Neurosurgery, Brain center, University Medical Centre Utrecht, Utrecht, The Netherlands.ORCID 0000-0001-6618-3573
H Stephan GoedeeDepartment of Neurology and Neurosurgery, Brain center, University Medical Centre Utrecht, Utrecht, The Netherlands.
Martijn FroelingCenter for Image Sciences, Precision Imaging Group, Division Imaging & Oncology, University Medical Centre Utrecht, Utrecht, The Netherlands.

Funding

Dutch Research Council 18929Sanofi (Sanofi US) SGZ-2019-12541
6 · The paper itself

Abstract

Fasciculations, a hallmark of motor neuron diseases, also occur in healthy individuals, highlighting the need to understand fasciculation intensity and distribution. Motor unit MRI (MUMRI) can assess fasciculations in large volumes but is not widely applied. We hypothesize that a more common MRI technique, diffusion tensor imaging (DTI), can also detect fasciculation when correcting for low signal-to-noise ratios and signal variability. We first systematically compared MUMRI and DTI in upper leg muscles of healthy subjects (n = 5). Secondly, we retrospectively determined fasciculation intensity and distribution in lower extremity muscles of 30 healthy subjects using DTI (n = 30). DTI and MUMRI had comparable sensitivity (75%) and precision (80%) to expert reviews. In our healthy cohort, fasciculations were more prevalent in the lower legs than upper legs (13.9 ± 11.5% vs. 9.8 ± 6.3%, p = 0.011), particularly in the soleus (9.3 ± 8.1%). This effect persisted after normalizing for muscle volume (7.2 ± 5.1%/dm

Indexed as

Diffusion Tensor ImagingFasciculationMuscle, SkeletalAdultFemaleHumansLegMaleMiddle AgedRetrospective StudiesYoung Adultdiffusion tensor imagingfasciculationmagnetic resonance imagingmotor unitskeletal muscle

Identifiers

PMID40119581
PMCPMC11928744

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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.