Evidence map›Paper›PMID 31484711›Full record

ArticleNeurology2019

Subcortical heterotopic gray matter brain malformations: Classification study of 107 individuals.

Renske Oegema, A James Barkovich, Grazia M S Mancini, Renzo Guerrini, William B Dobyns

Open access · hybridAbstract read
In one paragraph

Article in Neurology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
10.2field-weighted citation impact, top 2% 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

15 citing papers in PubMed, 55 citations in OpenAlex.

  1. Article
  2. Article
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  4. Pediatric Brain Maturation and Migration Disorders.Diagnostics (Basel, Switzerland) · 2022
    Review
  5. Article
  6. Article
  7. Article
  8. The spectrum of brain malformations and disruptions in twins.American journal of medical genetics. Part A · 2021
    Article
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  13. Review
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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

5 authors at 1 institution in 3 countries.

Renske OegemaFrom the Department of Clinical Genetics (R.O., G.M.S.M.), Erasmus MC University Medical Center, Rotterdam; Department of Genetics (R.O.), University Medical Center Utrecht, the Netherlands; Departments of Radiology and Biomedical Imaging and Neurology and Neurology (A.J.B.), University of California, San Francisco; Department of Neuroscience, Pharmacology and Child Health (R.G.), Children's Hospital A. Meyer and University of Florence, Italy; Center for Integrative Brain Research (W.B.D.), Seattle Children's Research Institute; and Departments of Pediatrics and Neurology (W.B.D.), University of Washington, Seattle. r.oegema@umcutrecht.nl.ORCID 0000-0002-7146-617X
A James BarkovichFrom the Department of Clinical Genetics (R.O., G.M.S.M.), Erasmus MC University Medical Center, Rotterdam; Department of Genetics (R.O.), University Medical Center Utrecht, the Netherlands; Departments of Radiology and Biomedical Imaging and Neurology and Neurology (A.J.B.), University of California, San Francisco; Department of Neuroscience, Pharmacology and Child Health (R.G.), Children's Hospital A. Meyer and University of Florence, Italy; Center for Integrative Brain Research (W.B.D.), Seattle Children's Research Institute; and Departments of Pediatrics and Neurology (W.B.D.), University of Washington, Seattle.
Grazia M S ManciniFrom the Department of Clinical Genetics (R.O., G.M.S.M.), Erasmus MC University Medical Center, Rotterdam; Department of Genetics (R.O.), University Medical Center Utrecht, the Netherlands; Departments of Radiology and Biomedical Imaging and Neurology and Neurology (A.J.B.), University of California, San Francisco; Department of Neuroscience, Pharmacology and Child Health (R.G.), Children's Hospital A. Meyer and University of Florence, Italy; Center for Integrative Brain Research (W.B.D.), Seattle Children's Research Institute; and Departments of Pediatrics and Neurology (W.B.D.), University of Washington, Seattle.
Renzo GuerriniFrom the Department of Clinical Genetics (R.O., G.M.S.M.), Erasmus MC University Medical Center, Rotterdam; Department of Genetics (R.O.), University Medical Center Utrecht, the Netherlands; Departments of Radiology and Biomedical Imaging and Neurology and Neurology (A.J.B.), University of California, San Francisco; Department of Neuroscience, Pharmacology and Child Health (R.G.), Children's Hospital A. Meyer and University of Florence, Italy; Center for Integrative Brain Research (W.B.D.), Seattle Children's Research Institute; and Departments of Pediatrics and Neurology (W.B.D.), University of Washington, Seattle.
William B DobynsFrom the Department of Clinical Genetics (R.O., G.M.S.M.), Erasmus MC University Medical Center, Rotterdam; Department of Genetics (R.O.), University Medical Center Utrecht, the Netherlands; Departments of Radiology and Biomedical Imaging and Neurology and Neurology (A.J.B.), University of California, San Francisco; Department of Neuroscience, Pharmacology and Child Health (R.G.), Children's Hospital A. Meyer and University of Florence, Italy; Center for Integrative Brain Research (W.B.D.), Seattle Children's Research Institute; and Departments of Pediatrics and Neurology (W.B.D.), University of Washington, Seattle.
University of California, San Francisco · US

Funding

De novo copy number variation and gene discovery in human brain malformationsR01NS058721 · NINDS · UNIVERSITY OF CHICAGO · PI ARGILLI, EMANUELA · 2008 to 2025
$10.9M
The Genetic Basis of Mid-Hindbrain MalformationsR01NS050375 · NINDS · UNIVERSITY OF MINNESOTA · PI DOBYNS, WILLIAM B. · 2005 to 2019
$9.9M
Megalencephaly and segmental brain overgrowth in humansR01NS092772 · NINDS · SEATTLE CHILDREN'S HOSPITAL · PI MILLEN, KATHLEEN JOYCE · 2015 to 2019
$3.3M
NINDS NIH HHS R01 NS058721NINDS NIH HHS R01 NS092772
6 · The paper itself

Abstract

objectiveTo better evaluate the imaging spectrum of subcortical heterotopic gray matter brain malformations (subcortical heterotopia [SUBH]), we systematically reviewed neuroimaging and clinical data of 107 affected individuals.

methodsSUBH is defined as heterotopic gray matter, located within the white matter between the cortex and lateral ventricles. Four large brain malformation databases were searched for individuals with these malformations; data on imaging, clinical outcomes, and results of molecular testing were systematically reviewed and integrated with all previously published subtypes to create a single classification system.

resultsReview of the databases revealed 107 patients with SUBH, the large majority scanned during childhood (84%), including more than half before 4 years (59%). Although most individuals had cognitive or motor disability, 19% had normal development. Epilepsy was documented in 69%. Additional brain malformations were common and included abnormalities of the corpus callosum (65/102 [64%]), and, often, brainstem or cerebellum (47/106 [44%]). Extent of the heterotopic gray matter brain malformations (unilateral or bilateral) did not influence the presence or age at onset of seizures. Although genetic testing was not systematically performed in this group, the sporadic occurrence and frequent asymmetry suggests either postzygotic mutations or prenatal disruptive events. Several rare, bilateral forms are caused by mutations in genes associated with cell proliferation and polarity (

conclusionThis study reveals a broad clinical and imaging spectrum of heterotopic malformations and provides a framework for their classification.

Indexed as

AdolescentAdultBrainBrain DiseasesChildChild, PreschoolDatabases, FactualFemaleGray MatterHumansInfantInfant, NewbornMagnetic Resonance ImagingMaleYoung Adult

Identifiers

PMID31484711
PMCPMC6814414
OpenAlexW2971376685

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.