Evidence map›Paper›PMID 33395988›Full record

ArticleNeuroImage. Clinical2020

Pathological characterization of T2*-weighted MRI contrast in the striatum of Huntington's disease patients.

Marjolein Bulk, Ingrid Hegeman-Kleinn, Boyd Kenkhuis, Ernst Suidgeest, Willeke van Roon-Mom, Jan Lewerenz, Sjoerd van Duinen, Itamar Ronen, Louise van der Weerd

Open access · goldAbstract read
In one paragraph

Article in NeuroImage. Clinical, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
0.8field-weighted citation impact, top 32% 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

12 citing papers in PubMed, 17 citations in OpenAlex.

  1. Review
  2. In Vivo Mapping of Catecholaminergic Loss and Iron Deposition in Huntington's Disease.Movement disorders : official journal of the Movement Disorder Society · 2026
    Article
  3. Article
  4. The glymphatic system in Huntington's disease.Journal of Huntington's disease · 2025
    Review
  5. Review
  6. Article
  7. Article
  8. Article
  9. Pain in Huntington's disease and its potential mechanisms.Frontiers in aging neuroscience · 2023
    Review
  10. Observational
  11. Article
  12. Iron and Alzheimer's Disease: From Pathology to Imaging.Frontiers in human neuroscience · 2022
    Review
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

9 authors at 2 institutions in 2 countries.

Marjolein BulkDepartment of Radiology, Leiden University Medical Center, Leiden, the Netherlands; Department of Human Genetics, Leiden University Medical Center, Leiden, the Netherlands. Electronic address: m.bulk@lumc.nl.
Ingrid Hegeman-KleinnDepartment of Pathology, Leiden University Medical Center, Leiden, the Netherlands.
Boyd KenkhuisDepartment of Radiology, Leiden University Medical Center, Leiden, the Netherlands; Department of Human Genetics, Leiden University Medical Center, Leiden, the Netherlands.
Ernst SuidgeestDepartment of Radiology, Leiden University Medical Center, Leiden, the Netherlands.
Willeke van Roon-MomDepartment of Human Genetics, Leiden University Medical Center, Leiden, the Netherlands.
Jan LewerenzDepartment of Neurology, Ulm University Hospital, Ulm, Germany.
Sjoerd van DuinenDepartment of Pathology, Leiden University Medical Center, Leiden, the Netherlands.
Itamar RonenDepartment of Radiology, Leiden University Medical Center, Leiden, the Netherlands.
Louise van der WeerdDepartment of Radiology, Leiden University Medical Center, Leiden, the Netherlands; Department of Human Genetics, Leiden University Medical Center, Leiden, the Netherlands.
Leiden University Medical Center · NLUniversity Hospital Ulm · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Previous MRI studies consistently reported iron accumulation within the striatum of patients with Huntington's disease (HD). However, the pattern and origin of iron accumulation is poorly understood. This study aimed to characterize the histopathological correlates of iron-sensitive ex vivo MRI contrast change in HD brains. To this end, T2*-weighted 7T MRI was performed on postmortem tissue of the striatum of three control subjects and 10 HD patients followed by histological examination. In addition, formalin-fixed paraffin-embedded material of three control subjects and 14 HD patients was selected for only histology to identify the cellular localization of iron using stainings for iron, myelin, microglia and astrocytes. As expected HD striata showed prominent atrophy. Compared to controls, the striatum of HD patients was in general more hypointense on T2*-weighted high-field MRI and showed a more intense histopathological staining for iron. In addition, T2*-weighted MRI identified large focal hypointensities within the striatum of HD patients. Upon histological examination, these large focal hypointensities frequently colocalized with enlarged perivascular spaces and iron was found within the vessel wall and reactive astrocytes. In conclusion, we show that the striatum of HD patients has a distinctive phenotype on T2*-weighted MRI compared to control subjects. On ex vivo MRI, these contrast changes are heavily biased by enlarged perivascular spaces from which it is currently unknown whether this is a fixation artefact or a disease specific observation. Clinically, the observation of iron within reactive astrocytes is of importance for the interpretation and understanding of the potential underlying mechanisms of T2*-weighted MRI results in HD patients.

Indexed as

Huntington DiseaseCorpus StriatumGray MatterHumansMagnetic Resonance ImagingMyelin SheathAstrocytesHuntington’s diseaseIronMicrogliaMRIStriatum

Identifiers

PMID33395988
PMCPMC7677121
OpenAlexW3104173557

What OpenQuestion holds

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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.