Evidence map›Paper›PMID 39577334›Full record

ArticleNeuroImage. Clinical2024

Brain magnetic resonance imaging of patients with spinal muscular atrophy type 2 and 3.

Marloes Stam, Harold H G Tan, Ruben Schmidt, Martijn P van den Heuvel, Leonard H van den Berg, Renske I Wadman, W Ludo van der Pol

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In one paragraph

Article in NeuroImage. Clinical, 2024. 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

7 authors.

Marloes StamUMC Utrecht Brain Center, Department of Neurology, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands. Electronic address: M.Stam-8@umcutrecht.nl.
Harold H G TanUMC Utrecht Brain Center, Department of Neurology, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands. Electronic address: H.H.G.Tan-4@umcutrecht.nl.
Ruben SchmidtUMC Utrecht Brain Center, Department of Neurology, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands. Electronic address: rubenschmidt88@gmail.com.
Martijn P van den HeuvelConnectome Lab, Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands; Department of Child Psychiatry, Amsterdam Neuroscience, Amsterdam UMC, Amsterdam, the Netherlands. Electronic address: martijn.vanden.heuvel@vu.nl.
Leonard H van den BergUMC Utrecht Brain Center, Department of Neurology, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands. Electronic address: L.H.vandenBerg@umcutrecht.nl.
Renske I WadmanUMC Utrecht Brain Center, Department of Neurology, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands. Electronic address: R.I.Wadman@umcutrecht.nl.
W Ludo van der PolUMC Utrecht Brain Center, Department of Neurology, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands. Electronic address: W.L.vanderPol@umcutrecht.nl.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectiveProximal spinal muscular atrophy (SMA) is caused by deficiency of the ubiquitously expressed survival motor neuron protein. Although primarily a hereditary lower motor neuron disease, it is probably also characterized by abnormalities in other organs. Brain abnormalities and cognitive impairment have been reported in severe SMA. We aimed to systematically investigate brain structure in SMA using MRI.

methodsWe acquired high-resolution T1-weighted images of treatment-naive patients with SMA, age- and sex-matched healthy and disease controls with other neuromuscular diseases, on a 3 T MRI scanner. We performed vertex-wise whole brain analysis and region of interest analysis of cortical thickness (CT), and volumetric analysis of the thalamus and compared findings in patients and controls using multiple linear regression models and Wald test. We correlated structural abnormalities with motor function as assessed by the Hammersmith Functional Motor Scale Expanded (HFMSE) and SMA Functional Rating Scale (SMA-FRS).

resultsWe included 30 patients, 12-70 years old, with SMA type 2 and 3, 30 age- and sex-matched healthy controls and 17 disease controls (with distal SMA, hereditary motor and sensory neuropathy, multifocal motor neuropathy, progressive muscular atrophy and segmental SMA). We found a reduced CT in patients with SMA compared to healthy controls at the precentral, postcentral and medial orbitofrontal gyri and at the temporal pole (mean differences -0.059(p = 0.04); -0.055(p = 0.04), -0.06(p = 0.04); -0.17 mm(p = 0.001)). Differences at the precentral gyrus and temporal pole were most pronounced in SMA type 2 (mean differences -0.07(p = 0.045); -0.26 mm(p < 0.001)) and were also present compared to disease controls (mean differences -0.08(p = 0.048); -0.19 mm(p = 0.003)). There was a positive correlation between CT at the temporal pole with motor function. Compared to healthy controls, we found a reduced volume of the whole thalamus (mean difference -325 mm

conclusionMRI shows structural changes in motor and non-motor regions of the cortex and the thalamus of patients with SMA type 2 and 3, indicating that SMA pathology is not confined to motor neurons.

Indexed as

BrainMagnetic Resonance ImagingSpinal Muscular Atrophies of ChildhoodAdolescentAdultAgedChildFemaleHumansMaleMiddle AgedYoung AdultBrainCortical thicknessMRISMASpinal muscular atrophyThalamus

Identifiers

PMID39577334
PMCPMC11617753

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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.