Evidence map›Paper›PMID 32483605›Full record

ArticleCerebral cortex (New York, N.Y. : 1991)2020

Sex Differences in Variability of Brain Structure Across the Lifespan.

Natalie J Forde, Jerrold Jeyachandra, Michael Joseph, Grace R Jacobs, Erin Dickie, Theodore D Satterthwaite, Russell T Shinohara, Stephanie H Ameis, Aristotle N Voineskos

Open access · greenAbstract read
In one paragraph

Article in Cerebral cortex (New York, N.Y. : 1991), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 1 pooled it
14.0field-weighted citation impact, top 1% 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

36 citing papers in PubMed, 1 synthesis or guideline pooled it, 68 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Article
  7. Metabolic, demographic, and behavioral risk factors predict brain structural variability in the general population: an analysis of the human connectome project young adults.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2026
    Article
  8. Article
  9. Investigating the causal relationship between multimodal brain imaging-derived phenotypes and insomnia: A Mendelian randomization study.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2025
    Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Atypical Brain Aging and Its Association With Working Memory Performance in Major Depressive Disorder.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2024
    Article
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  18. Article
  19. Review
  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

9 authors at 3 institutions in 2 countries.

Natalie J FordeCampbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, M5T 1R8, Toronto, Canada.
Jerrold JeyachandraCampbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, M5T 1R8, Toronto, Canada.
Michael JosephCampbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, M5T 1R8, Toronto, Canada.
Grace R JacobsCampbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, M5T 1R8, Toronto, Canada.
Erin DickieCampbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, M5T 1R8, Toronto, Canada.
Theodore D SatterthwaiteDepartment of Psychiatry, University of Pennsylvania, Philadelphia, PA 19104, USA.
Russell T ShinoharaPenn Statistics in Imaging and Visualization Center, Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania, Philadelphia, PA 19104, USA.
Stephanie H AmeisCampbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, M5T 1R8, Toronto, Canada.
Aristotle N VoineskosCampbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, M5T 1R8, Toronto, Canada.
Centre for Addiction and Mental Health · CALifespan · USUniversity of Pennsylvania · US

Funding

WU INSTITUTE OF CLINICAL AND TRANSLATIONAL SCIENCESUL1TR002345 · NCATS · WASHINGTON UNIVERSITY · PI William G. Powderly · 2017 to 2026
$97.8M
Smartphone-Based "Burst" Cognitive AssessmentsP01AG003991 · NIA · WASHINGTON UNIVERSITY · PI JOHN MORRIS · 1985 to 2026
$69.5M
The natural history of AB accumulation in preclinical ADP01AG026276 · NIA · WASHINGTON UNIVERSITY · PI MORRIS, JOHN · 2005 to 2025
$49.5M
Washington University Institute of Clinical and Translational SciencesUL1TR000448 · NCATS · WASHINGTON UNIVERSITY · PI EVANOFF, BRADLEY A · 2012 to 2016
$41.4M
Mapping the Human Connectome: Structure, Function, and HeritabilityU54MH091657 · NIMH · WASHINGTON UNIVERSITY · PI UGURBIL, KAMIL, VAN ESSEN, DAVID C · 2010 to 2014
$34.7M
MORPHOMETRY BIOMEDICAL INFORMATICS RESEARCH NETWORKU24RR021382 · NCRR · MASSACHUSETTS GENERAL HOSPITAL · PI ROSEN, BRUCE R · 2004 to 2008
$24.1M
Neurodevelopmental Genomics: Trajectories of Complex PhenotypesRC2MH089983 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI GUR, RAQUEL E · 2009 to 2011
$14.3M
STRUCTURE, FUNCTION AND COGNITION IN SCHIZOPHRENIAP50MH071616 · NIMH · WASHINGTON UNIVERSITY · PI BARCH, DEANNA · 2004 to 2008
$11.2M
2/2 Neurodevelopmental Genomics: Trajectories of Complex PhenotypesRC2MH089924 · NIMH · CHILDREN'S HOSP OF PHILADELPHIA · PI HAKONARSON, HAKON · 2009 to 2011
$10.7M
THE XNAT IMAGING INFORMATICS PLATFORMR01EB009352 · NIBIB · WASHINGTON UNIVERSITY · PI Daniel Scott Marcus · 2009 to 2026
$9.3M
NEUROMORPHOMETRY IN SCHIZOPHRENIA BY COMPUTER ALGORITHMR01MH056584 · NIMH · WASHINGTON UNIVERSITY · PI CSERNANSKY, JOHN G · 1998 to 2011
$4.2M
DRIVING PERFORMANCE IN PRECLINICAL ALZHEIMER'S DISEASER01AG043434 · NIA · WASHINGTON UNIVERSITY · PI ROE, CATHERINE M · 2012 to 2016
$2.4M
NCATS NIH HHS UL1 TR000448NCATS NIH HHS UL1 TR002345NCRR NIH HHS U24 RR021382NIA NIH HHS P01 AG003991NIA NIH HHS P01 AG026276NIA NIH HHS R01 AG021910NIA NIH HHS R01 AG043434NIBIB NIH HHS R01 EB009352NIMH NIH HHS P50 MH071616NIMH NIH HHS R01 MH056584NIMH NIH HHS RC2 MH089924NIMH NIH HHS RC2 MH089983NIMH NIH HHS U54 MH091657
6 · The paper itself

Abstract

Several brain disorders exhibit sex differences in onset, presentation, and prevalence. Increased understanding of the neurobiology of sex-based differences in variability across the lifespan can provide insight into both disease vulnerability and resilience. In n = 3069 participants, from 8 to 95 years of age, we found widespread greater variability in males compared with females in cortical surface area and global and subcortical volumes for discrete brain regions. In contrast, variance in cortical thickness was similar for males and females. These findings were supported by multivariate analysis accounting for structural covariance, and present and stable across the lifespan. Additionally, we examined variability among brain regions by sex. We found significant age-by-sex interactions across neuroimaging metrics, whereby in very early life males had reduced among-region variability compared with females, while in very late life this was reversed. Overall, our findings of greater regional variability, but less among-region variability in males in early life may aid our understanding of sex-based risk for neurodevelopmental disorders. In contrast, our findings in late life may provide a potential sex-based risk mechanism for dementia.

Indexed as

Sex CharacteristicsAdolescentAdultAgedAged, 80 and overBrainChildFemaleHumansLongevityMagnetic Resonance ImagingMaleMiddle AgedOrgan SizeYoung Adulthealthy variationsex differencessurface areavariabilityvulnerability for disease

Identifiers

PMID32483605
PMCPMC7566684
OpenAlexW3032520155

What OpenQuestion holds

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Registered trials

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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.