Evidence map›Paper›PMID 35785410›Full record

SynthesisEuropean journal of neurology2022

Structural magnetic resonance imaging in dystonia: A systematic review of methodological approaches and findings.

Claire L MacIver, Chantal M W Tax, Derek K Jones, Kathryn J Peall

Open access · hybridAbstract readSystematic Review
In one paragraph

Synthesis in European journal of neurology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 3 pooled it
3.5field-weighted citation impact, top 6% of its field
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

22 citing papers in PubMed, 3 syntheses or guidelines pooled it, 31 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Article
  6. Article
  7. Review
  8. Mapping the Neuroanatomy of Dystonia Using Causal Brain Lesions.medRxiv : the preprint server for health sciences · 2025
    Article
  9. Somato-Cognitive Action Network in Focal Dystonia.Movement disorders : official journal of the Movement Disorder Society · 2025
    Article
  10. Review
  11. Review
  12. Brain network pathophysiology in dystonia.Dystonia (Lausanne, Switzerland) · 2025
    Article
  13. Review
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

4 authors at 2 institutions in 2 countries.

Claire L MacIverNeuroscience and Mental Health Research Institute, Division of Psychological Medicine and Clinical Neurosciences, Cardiff University School of Medicine, Cardiff, UK.ORCID 0000-0002-5040-3487
Chantal M W TaxCardiff University Brain Imaging Centre (CUBRIC), Cardiff University, Cardiff, UK.
Derek K JonesCardiff University Brain Imaging Centre (CUBRIC), Cardiff University, Cardiff, UK.
Kathryn J PeallNeuroscience and Mental Health Research Institute, Division of Psychological Medicine and Clinical Neurosciences, Cardiff University School of Medicine, Cardiff, UK.ORCID 0000-0003-4749-4944
Cardiff University · GBUniversity Medical Center Utrecht · NL

Funding

Medical Research Council MR/P008593/1Medical Research Council MR/V036084/1Wellcome Trust
6 · The paper itself

Abstract

background and purposeStructural magnetic resonance techniques have been widely applied in neurological disorders to better understand tissue changes, probing characteristics such as volume, iron deposition and diffusion. Dystonia is a hyperkinetic movement disorder, resulting in abnormal postures and pain. Its pathophysiology is poorly understood, with normal routine clinical imaging in idiopathic forms. More advanced tools provide an opportunity to identify smaller scale structural changes which may underpin pathophysiology. This review aims to provide an overview of methodological approaches undertaken in structural brain imaging of dystonia cohorts, and to identify commonly identified pathways, networks or regions that are implicated in pathogenesis.

methodsStructural magnetic resonance imaging studies of idiopathic and genetic forms of dystonia were systematically reviewed. Adhering to strict inclusion and exclusion criteria, PubMed and Embase databases were searched up to January 2022, with studies reviewed for methodological quality and key findings.

resultsSeventy-seven studies were included, involving 1945 participants. The majority of studies employed diffusion tensor imaging (DTI) (n = 45) or volumetric analyses (n = 37), with frequently implicated areas of abnormality in the brainstem, cerebellum, basal ganglia and sensorimotor cortex and their interconnecting white matter pathways. Genotypic and motor phenotypic variation emerged, for example fewer cerebello-thalamic tractography streamlines in genetic forms than idiopathic and higher grey matter volumes in task-specific than non-task-specific dystonias. DISCUSSION: Work to date suggests microstructural brain changes in those diagnosed with dystonia, although the underlying nature of these changes remains undetermined. Employment of techniques such as multiple diffusion weightings or multi-exponential relaxometry has the potential to enhance understanding of these differences.

Indexed as

DystoniaDystonic DisordersBrainDiffusion Tensor ImagingHumansIronMagnetic Resonance ImagingIrondiffusion MRIdystoniamovement disordersMRIsystematic review

Identifiers

PMID35785410
PMCPMC9796340
OpenAlexW4283789491

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.