Evidence map›Paper›PMID 30930758›Full record

ArticleFrontiers in human neuroscience2019

Structural Magnetic Resonance Imaging Demonstrates Abnormal Regionally-Differential Cortical Thickness Variability in Autism: From Newborns to Adults.

Jacob Levman, Patrick MacDonald, Sean Rowley, Natalie Stewart, Ashley Lim, Bryan Ewenson, Albert Galaburda, Emi Takahashi

Abstract read
In one paragraph

Article in Frontiers in human neuroscience, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
–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

18 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Autism and Cortical Thickness Deviation From Neurotypical Controls: Evidence for a Spatial Association With Serotonin Receptors.Autism research : official journal of the International Society for Autism Research · 2026
    Article
  4. Review
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  6. Cortical Thickness Differences in Autistic Children With and Without Intellectual Disability.Autism research : official journal of the International Society for Autism Research · 2025
    Article
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  12. Structural abnormalities in paediatric moyamoya disease revealed by clinical magnetic resonance imaging, regionally distributed relative signal intensities and volumes.International journal of developmental neuroscience : the official journal of the International Society for Developmental Neuroscience · 2022
    Article
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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

8 authors.

Jacob LevmanDivision of Newborn Medicine, Department of Medicine, Boston Children's Hospital, Harvard Medical School Boston, MA, United States.
Patrick MacDonaldDivision of Newborn Medicine, Department of Medicine, Boston Children's Hospital, Harvard Medical School Boston, MA, United States.
Sean RowleyDepartment of Mathematics, Statistics and Computer Science, St. Francis Xavier University Antigonish, NS, Canada.
Natalie StewartDivision of Newborn Medicine, Department of Medicine, Boston Children's Hospital, Harvard Medical School Boston, MA, United States.
Ashley LimDivision of Newborn Medicine, Department of Medicine, Boston Children's Hospital, Harvard Medical School Boston, MA, United States.
Bryan EwensonDepartment of Mathematics, Statistics and Computer Science, St. Francis Xavier University Antigonish, NS, Canada.
Albert GalaburdaDepartment of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School Boston, MA, United States.
Emi TakahashiDivision of Newborn Medicine, Department of Medicine, Boston Children's Hospital, Harvard Medical School Boston, MA, United States.

Funding

Development of Brain Connectivity in Human Fetus, Newborn, and Toddler AgesR01HD078561 · NICHD · BOSTON CHILDREN'S HOSPITAL · PI TAKAHASHI (OKI), EMI · 2014 to 2018
$1.7M
MRI-based biomarkers for regional brain abnormalities in autism spectrum disorder: From newborns to young adultsR21MH118739 · NIMH · BOSTON CHILDREN'S HOSPITAL · PI TAKAHASHI (OKI), EMI · 2018 to 2019
$487k
Brain Development in Down Syndrome during Fetal, Newborn, and Infant StagesR21HD098606 · NICHD · MASSACHUSETTS GENERAL HOSPITAL · PI TAKAHASHI (OKI), EMI · 2019 to 2020
$484k
Aberrant Patterns of Human Brain Connectivity and Gyral StructuresR03NS091587 · NINDS · BOSTON CHILDREN'S HOSPITAL · PI TAKAHASHI (OKI), EMI · 2015 to 2016
$177k
NICHD NIH HHS R01 HD078561NICHD NIH HHS R21 HD098606NIMH NIH HHS R21 MH118739NINDS NIH HHS R03 NS091587
6 · The paper itself

Abstract

Autism is a group of complex neurodevelopmental disorders characterized by impaired social interaction and restricted/repetitive behavior. We performed a large-scale retrospective analysis of 1,996 clinical neurological structural magnetic resonance imaging (MRI) examinations of 781 autistic and 988 control subjects (aged 0-32 years), and extracted regionally distributed cortical thickness measurements, including average measurements as well as standard deviations which supports the assessment of intra-regional cortical thickness variability. The youngest autistic participants (<2.5 years) were diagnosed after imaging and were identified retrospectively. The largest effect sizes and the most common findings not previously published in the scientific literature involve abnormal intra-regional variability in cortical thickness affecting many (but not all) regions of the autistic brain, suggesting irregular gray matter development in autism that can be detected with MRI. Atypical developmental patterns have been detected as early as 0 years old in individuals who would later be diagnosed with autism.

Indexed as

autisticcortical thicknessdevelopmentneuroanatomyvariability

Identifiers

PMID30930758
PMCPMC6428060

What OpenQuestion holds

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LicenceCC BY
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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.