Distinct spatiotemporal patterns of white matter hyperintensity progression

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.

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Publication Details

Journal
Nature Communications
Published
2025-10-24
DOI
https://doi.org/10.1038/s41467-025-64704-4
Citations
1
Primary Topic
Acute Ischemic Stroke Management
Type
article
Field-Weighted Citation Impact
1.35

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article

Distinct spatiotemporal patterns of white matter hyperintensity progression

Hang‐Rai Kim, Joanna Marguerite Wardlaw, Kyung‐Ho Yu, Dong‐Seok Gwak et al.
1 citations
Nature Communications
Acute Ischemic Stroke Management
1.35
article

Distinct spatiotemporal patterns of white matter hyperintensity progression

Hang‐Rai Kim, Joanna Marguerite Wardlaw, Kyung‐Ho Yu, Dong‐Seok Gwak, Hosung Kim, Byung-Chul Lee, Neda Jahanshad, Mi Sun Oh, Wi‐Sun Ryu, Tai Hwan Park, Keun‐Sik Hong, Man‐Seok Park, Soo Joo Lee, Elizabeth Haddad, Jae Guk Kim, Moon‐Ku Han, Hyerin Oh, Gilsoon Park, Dong‐Eog Kim, Jae‐Kwan Cha, Kang‐Ho Choi, Philip M. Bath, Sang‐Wuk Jeong, Jong‐Moo Park, Dawid Schellingerhout, Kyusik Kang, Jun Lee, Yong‐Jin Cho, Beom Joon Kim, Dae‐Hyun Kim, Joon‐Tae Kim, Jinyong Chung, Kyung‐Bok Lee, Hee‐Joon Bae, Sang-Soon Park
article en
1 citations

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.

Nature CommunicationsVol. 16(1)
University of Southern California (US), The University of Texas MD Anderson Cancer Center (US), University of Nottingham (GB), Dongguk University (KR), Dong-A University Hospital (KR), Soonchunhyang University Hospital Seoul (KR), Seoul National University Bundang Hospital (KR), Seoul Medical Center (KR), Chonnam National University Hospital (KR), Dongguk University Ilsan Hospital (KR), The Catholic University of Korea Uijeongbu St. Mary's Hospital (KR), Inje University Ilsan Paik Hospital (KR), National Cancer Center (KR), Daejeon Eulji Medical Center, Eulji University (KR), UK Dementia Research Institute (GB), Yeungnam University Medical Center (KR), Hallym University Sacred Heart Hospital (KR), University of Edinburgh (GB)
Alzheimer's Society, National Institute for Health and Care Research, National Research Foundation, UK Dementia Research Institute, National Institutes of Health, Medical Research Council
Openalex Percentile: Top 14%
Acute Ischemic Stroke Management
1.35
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