Faculty, Staff and Student Publications
Language
English
Publication Date
10-24-2025
Journal
Nature Communications
DOI
10.1038/s41467-025-64704-4
PMID
41136463
PMCID
PMC12552450
PubMedCentral® Posted Date
10-24-2025
PubMedCentral® Full Text Version
Post-print
Abstract
White matter hyperintensity, a key imaging biomarker for brain health, has prognostic implications for stroke. Using a multicenter MRI dataset of 9179 stroke patients plus the UK Biobank (n = 36,210 low/high risk controls), we employ Subtype and Stage Inference modeling and identify three distinct white matter hyperintensity progression subtypes: fronto-parietal, radial, and temporo-occipital. Longitudinal validation confirms classification stability. The fronto-parietal subtype shows delayed onset and more hypertension, while the temporo-occipital subtype has more atrial fibrillation and coronary heart disease. The fronto-parietal and radial subtypes are linked to small vessel stroke, while the temporo-occipital subtype is linked to cardioembolism. The fronto-parietal subtype has higher 1-year ischemic stroke recurrence, while the temporo-occipital subtype shows a higher incidence of early neurological deterioration by symptomatic hemorrhagic transformation and worse 3-month outcomes. Beyond capturing progression, demographics, and vascular risks, and improving post-stroke outcome prediction, this subtyping-staging model also holds potential for stroke prediction.
Keywords
Humans, White Matter, Male, Female, Magnetic Resonance Imaging, Disease Progression, Aged, Middle Aged, Stroke, Risk Factors, Prognosis, Brain
Published Open-Access
yes
Recommended Citation
Chung, Jinyong; Park, Gilsoon; Ryu, Wi-Sun; et al., "Distinct Spatiotemporal Patterns of White Matter Hyperintensity Progression" (2025). Faculty, Staff and Student Publications. 6493.
https://digitalcommons.library.tmc.edu/uthgsbs_docs/6493
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