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Nature communications
Published

Distinct spatiotemporal patterns of white matter hyperintensity progression

Authors

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

Abstract

Nat Commun. 2025 Oct 24;16(1):9360. doi: 10.1038/s41467-025-64704-4.

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.

PMID:41136463 | DOI:10.1038/s41467-025-64704-4