Evidence map›Paper›PMID 39602940›Full record

ArticleNeurobiology of aging2025

Cerebral white matter hyperintensity volumes: Normative age- and sex-specific values from 15 population-based cohorts comprising 14,876 individuals.

Floor A S de Kort, Elisabeth J Vinke, Ewoud J van der Lelij, Devasuda Anblagan, Mark E Bastin, Alexa Beiser, Henry Brodaty, Nishi Chaturvedi, Bastian Cheng, Simon R Cox and 30 more

Abstract read
In one paragraph

Article in Neurobiology of aging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

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

  1. Pooled it
  2. Trial
  3. Cardiac Biomarkers, Subclinical Brain Vascular Changes, and Cognitive Decline: Post Hoc Analysis of the SPRINT Trial.The journals of gerontology. Series A, Biological sciences and medical sciences · 2025
    Trial
  4. Article
  5. Article
  6. The vascular contribution to dementia: World Stroke Organization scientific statement.International journal of stroke : official journal of the International Stroke Society · 2026
    Review
  7. Article
  8. Article
  9. Global burden of cerebral small vessel disease determined from large MRI studies: A systematic review and meta-analysis.International journal of stroke : official journal of the International Stroke Society · 2026
    Review
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  11. Article
  12. Article
  13. Article
  14. Observational
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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

40 authors.

Floor A S de KortDepartment of Neurology, University Medical Center Utrecht Brain Center, Utrecht, the Netherlands. Electronic address: f.a.s.dekort-3@umcutrecht.nl.
Elisabeth J VinkeDepartment of Radiology & Nuclear Medicine, Erasmus MC University Medical Center, Rotterdam, the Netherlands; Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, the Netherlands.
Ewoud J van der LelijDepartment of Neurology, University Medical Center Utrecht Brain Center, Utrecht, the Netherlands.
Devasuda AnblaganCentre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK.
Mark E BastinCentre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK.
Alexa BeiserDepartment of Biostatistics, Boston University, Boston, USA.
Henry BrodatyCentre for Healthy Brain Ageing (CHeBA), Discipline of Psychiatry and Mental Health, School of Clinical Medicine, UNSW Sydney, Sydney, Australia.
Nishi ChaturvediMRC Unit for Lifelong Health and Ageing, University College London, London, UK.
Bastian ChengDepartment of Neurology, University Medical Hospital Hamburg-Eppendorf, Hamburg, Germany.
Simon R CoxLothian Birth Cohorts, Department of Psychology, University of Edinburgh, Edinburgh, UK.
Charles DeCarliDepartment of Neurology, University of California Davis, Sacramento, USA.
Christian EnzingerDepartment of Neurology, Medical University Graz, Graz, Austria.
Evan FletcherDepartment of Neurology, University of California Davis, Sacramento, USA.
Richard FrayneDepartment of Clinical Neurosciences, University of Calgary, Calgary, Canada; Department of Radiology, University of Calgary, Calgary, Canada.
Marius de GrootDepartment of Radiology & Nuclear Medicine, Erasmus MC University Medical Center, Rotterdam, the Netherlands.
Felicia HuangMRC Unit for Lifelong Health and Ageing, University College London, London, UK.
M Arfan IkramDepartment of Epidemiology, Erasmus MC University Medical Center, Rotterdam, the Netherlands.
Jiyang JiangCentre for Healthy Brain Ageing (CHeBA), Discipline of Psychiatry and Mental Health, School of Clinical Medicine, UNSW Sydney, Sydney, Australia.
Bonnie Y K LamDivision of Neurology, Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, China.
Pauline MaillardDepartment of Neurology, University of California Davis, Sacramento, USA.
Carola MayerDepartment of Neurology, University Medical Hospital Hamburg-Eppendorf, Hamburg, Germany.
Cheryl R McCrearyDepartment of Clinical Neurosciences, University of Calgary, Calgary, Canada; Department of Radiology, University of Calgary, Calgary, Canada.
Vincent MokDivision of Neurology, Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, China.
Susana Muñoz ManiegaCentre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK.
Marvin PetersenDepartment of Neurology, University Medical Hospital Hamburg-Eppendorf, Hamburg, Germany.
Genady RoshchupkinDepartment of Radiology & Nuclear Medicine, Erasmus MC University Medical Center, Rotterdam, the Netherlands; Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, the Netherlands.
Perminder S SachdevCentre for Healthy Brain Ageing (CHeBA), Discipline of Psychiatry and Mental Health, School of Clinical Medicine, UNSW Sydney, Sydney, Australia.
Reinhold SchmidtDepartment of Neurology, Medical University Graz, Graz, Austria.
Stephan SeilerDepartment of Neurology, Medical University Graz, Graz, Austria.
Sudha SeshadriGlenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases, University of Texas Health Science Center, San Antonio, USA.
Carole H SudreMRC Unit for Lifelong Health and Ageing, University College London, London, UK; Centre for Medical Image Computing, University College London, London, UK; School of Biomedical Engineering & Imaging Sciences, King's College London, UK.
Götz ThomallaDepartment of Neurology, University Medical Hospital Hamburg-Eppendorf, Hamburg, Germany.
Raphael TwerenboldDepartment of Cardiology, University Heart & Vascular Center Hamburg, University Medical Center Hamburg-Eppendorf, Hamburg, Germany; DZHK (German Centre for Cardiovascular Research) partner site, Hamburg, Germany.
Maria Valdés HernándezCentre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK.
Meike W VernooijDepartment of Radiology & Nuclear Medicine, Erasmus MC University Medical Center, Rotterdam, the Netherlands; Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, the Netherlands.
Joanna M WardlawCentre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK; UK Dementia Research Institute, University of Edinburgh, Edinburgh, UK.
Wei WenCentre for Healthy Brain Ageing (CHeBA), Discipline of Psychiatry and Mental Health, School of Clinical Medicine, UNSW Sydney, Sydney, Australia.
Hugo J KuijfImage Sciences Institute, University Medical Center Utrecht, Utrecht, the Netherlands.
Geert Jan BiesselsDepartment of Neurology, University Medical Center Utrecht Brain Center, Utrecht, the Netherlands.
J Matthijs BiesbroekDepartment of Neurology, University Medical Center Utrecht Brain Center, Utrecht, the Netherlands; Department of Neurology, Diakonessenhuis Hospital, Utrecht, the Netherlands.

Funding

The Clinical Significance of Incidental White Matter Lesions on MRI Amongst a Diverse Population with Cognitive Complaints (INDEED)U19NS120384 · NINDS · UNIVERSITY OF CALIFORNIA AT DAVIS · PI Charles DeCarli · 2020 to 2026
$61.9M
FRAMINGHAM HEART STUDY - YEAR 5 EXAM75N92019D00031 · NHLBI · BOSTON UNIVERSITY MEDICAL CAMPUS · PI RAMACHANDRAN, VASAN · 2019 to 2024
$29.8M
UC Davis Alzheimer's Disease Core CenterP30AG010129 · NIA · UNIVERSITY OF CALIFORNIA DAVIS · PI DECARLI, CHARLES · 1991 to 2020
$28.3M
UC Davis Alzheimer's Disease Research CenterP30AG072972 · NIA · UNIVERSITY OF CALIFORNIA AT DAVIS · PI Charles DeCarli, Rachel A Whitmer · 2021 to 2026
$25.2M
MRI, Genetics &Cognitive Precursors of AD &DementiaR01AG016495 · NIA · BOSTON UNIVERSITY MEDICAL CAMPUS · PI AU, RHODA · 1999 to 2016
$12.5M
Temporal Trends, Novel Imaging and Molecular Characterization of Preclinical and Clinical Alzheimer's Disease in the Framingham CohortsR01AG054076 · NIA · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI DECARLI, CHARLES, SESHADRI, SUDHA · 2016 to 2020
$12.3M
MRI, Cognitive, Genetic & Biomarker Precursors of AD & Dementia in Young AdultsR01AG033040 · NIA · BOSTON UNIVERSITY MEDICAL CAMPUS · PI AU, RHODA, SESHADRI, SUDHA · 2009 to 2019
$11.2M
Brain pathologies, reserve and cognition in aging and dementiaR01AG031563 · NIA · UNIVERSITY OF CALIFORNIA AT DAVIS · PI Evan Fletcher, SARAH E TOMASZEWSKI-FARIAS · 2009 to 2026
$8.9M
Novel Imaging and Biofluid Biomarkers of Small Vessel Cerebrovascular DiseaseUF1NS100608 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KRAMER, JOEL H · 2021 to 2021
$2.5M
Medical Research Council G0701120Medical Research Council G1001245NHLBI NIH HHS 75N92019D00031NIA NIH HHS P30 AG010129NIA NIH HHS P30 AG072972NIA NIH HHS R01 AG016495NIA NIH HHS R01 AG031563NIA NIH HHS R01 AG033040NIA NIH HHS R01 AG054076NINDS NIH HHS U19 NS120384NINDS NIH HHS UF1 NS100608Wellcome Trust
6 · The paper itself

Abstract

White matter hyperintensities (WMH) increase with age, with marked interindividual variation. There is a need for normative data by age and sex, to improve individualized WMH burden assessment. In this study, we pooled cross-sectional data from 15 population-based cohorts (14,876 nondemented individuals, age 18-97 years), through the Meta VCI Map consortium. Whole brain and tract-specific MRI-assessed WMH volumes were calculated in MNI-152 space. We used quantile regression to create centile curves of WMH volume versus age, stratified by sex. Total WMH volume and interindividual variance increased exponentially with age for both sexes, with females showing higher WMH volumes. WMH volume increase with aging was not uniform across the white matter, but instead followed one of three different patterns depending on location. Age- and sex-specific normative data for total and regional WMH volumes were created. Our study provides detailed information on the normal distribution of total and regional WMH volumes across adulthood. The normative data enable a quantitative approach to interpreting total and regional WMH volumes in clinical practice and research settings.

Indexed as

AgingMagnetic Resonance ImagingSex CharacteristicsWhite MatterAdolescentAdultAgedAged, 80 and overCohort StudiesCross-Sectional StudiesFemaleHumansMaleMiddle AgedOrgan SizeYoung AdultAgingCerebral small vessel diseaseMRINormative dataPopulation-basedWhite matter hyperintensities

Identifiers

PMID39602940
PMCPMC12087372

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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.