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Signature White Matter Hyperintensity Locations Associated With Vascular Risk Factors Derived From 15 653 Individuals

  • J Matthijs Biesbroek*
  • , Floor A S de Kort
  • , Devasuda Anblagan
  • , Mark E Bastin
  • , Alexa Beiser
  • , Henry Brodaty
  • , Nishi Chaturvedi
  • , Christopher P L H Chen
  • , Bastian Cheng
  • , Ching-Yu Cheng
  • , Simon R Cox
  • , Charles DeCarli
  • , Christian Enzinger
  • , Evan Fletcher
  • , Richard Frayne
  • , Marius de Groot
  • , Saima Hilal
  • , Felicia Huang
  • , M Arfan Ikram
  • , Jiyang Jiang
  • Bonnie Y K Lam, Pauline Maillard, Carola Mayer, Cheryl R McCreary, Vincent Mok, Susana Muñoz Maniega, Marvin Petersen, Genady Roshchupkin, Perminder S Sachdev, Reinhold Schmidt, Stephan Seiler, Sudha Seshadri, Carole H Sudre, Götz Thomalla, Maria Valdés Hernández, Narayanaswamy Venketasubramanian, Meike W Vernooij, Elisabeth J Vinke, Joanna M Wardlaw, Wei Wen, Hugo J Kuijf, Geert Jan Biessels
*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

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Abstract

BACKGROUND: White matter hyperintensities (WMHs) of presumed vascular origin are common in the elderly and are associated with vascular risk factors. There is evidence that vascular risk factors, in particular hypertension, are associated with WMH in particular locations of the white matter. However, it remains unclear whether this is true for all risk factors and whether signature WMH locations differ between risk factors. We aimed to identify WMH locations associated with vascular risk factors in community-dwelling individuals. METHODS: We pooled cross-sectional data from 16 population-based cohorts (15 653 individuals; mean age, 64.2±11.8 years; 52.2% female) through the Meta VCI Map Consortium. We quantified associations between WMH volumes in 50 white matter regions and 6 vascular risk factors using linear mixed models. Analyses were corrected for age, sex, study site, and total WMH volume. RESULTS: Hypertension (B=0.141; P<0.001), smoking (B=0.096; P<0.001), diabetes (B=0.059; P<0.001), and history of vascular disease (B=0.056; P=0.034) were significantly associated with higher total WMH volume, whereas obesity (B=0.023; P=0.139) and hypercholesterolemia (B=0.009; P=0.531) were not. After correcting for total WMH volume, hypertension was associated with WMH volume in 10 regions (ie, bilateral external capsule, superior longitudinal fasciculus, superior corona radiata, anterior limb of the internal capsule, left anterior corona radiata, and left superior fronto-occipital fasciculus), smoking (body corpus callosum), diabetes (genu corpus callosum), and obesity (left inferior fronto-occipital fasciculus), each with one region. CONCLUSIONS: Hypertension has a signature WMH pattern, whereas associations between other vascular risk factors and regional WMH volumes seem to be mainly explained by a global increase in WMH rather than region-specific effects.

Original languageEnglish
Pages (from-to)3047-3059
Number of pages13
JournalStroke
Volume56
Issue number10
Early online date20 Aug 2025
DOIs
Publication statusPublished - Oct 2025

Keywords

  • arteriolosclerosis
  • cerebral amyloid angiopathy
  • cerebral small vessel diseases
  • hypertension
  • vascular diseases

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