Evidence map›Paper›PMID 41136463›Full record

ArticleNature communications2025

Distinct spatiotemporal patterns of white matter hyperintensity progression.

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 and 25 more

Abstract readMulticenter Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–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

4 citing papers in PubMed.

  1. Observational
  2. Article
  3. Review
  4. Article
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

35 authors.

Jinyong ChungMedical Science Research Center, Dongguk University, Goyang, South Korea.ORCID http://orcid.org/0000-0001-9473-5152
Gilsoon ParkMark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
Wi-Sun RyuDepartment of Neurology, Dongguk University Ilsan Hospital, Goyang, South Korea.ORCID http://orcid.org/0000-0002-2823-5253
Dawid SchellingerhoutDepartments of Neuroradiology and Imaging Physics, MD Anderson Cancer Center, University of Texas, Houston, TX, USA.
Hang-Rai KimDepartment of Neurology, Dongguk University Ilsan Hospital, Goyang, South Korea.
Dong-Seok GwakNational Priority Research Center for Stroke, Goyang, South Korea.
Elizabeth HaddadMark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
Neda JahanshadMark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
Beom Joon KimDepartment of Neurology, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Seongnam, South Korea.ORCID http://orcid.org/0000-0002-2719-3012
Keun-Sik HongDepartment of Neurology, Inje University Ilsan Paik Hospital, Goyang, South Korea.
Hyerin OhNational Priority Research Center for Stroke, Goyang, South Korea.ORCID http://orcid.org/0000-0001-5179-2480
Sang-Wuk JeongDepartment of Neurology, Dongguk University Ilsan Hospital, Goyang, South Korea.
Joon-Tae KimDepartment of Neurology, Chonnam National University Hospital, Gwangju, South Korea.
Man Seok ParkDepartment of Neurology, Chonnam National University Hospital, Gwangju, South Korea.
Kang-Ho ChoiDepartment of Neurology, Chonnam National University Hospital, Gwangju, South Korea.
Kyungbok LeeDepartment of Neurology, Soonchunhyang University Hospital, Seoul, South Korea.
Tai Hwan ParkDepartment of Neurology, Seoul Medical Center, Seoul, South Korea.ORCID http://orcid.org/0000-0002-5148-1663
Sang-Soon ParkDepartment of Neurology, Seoul Medical Center, Seoul, South Korea.
Jong-Moo ParkDepartment of Neurology, Uijeongbu Eulji Medical Center, Uijeongbu, South Korea.ORCID http://orcid.org/0000-0002-4199-3024
Kyusik KangDepartment of Neurology, Nowon Eulji Medical Center, Seoul, South Korea.ORCID http://orcid.org/0000-0002-4021-4439
Kyung-Ho YuDepartment of Neurology, Hallym University Sacred Heart Hospital, Anyang, South Korea.
Mi Sun OhDepartment of Neurology, Hallym University Sacred Heart Hospital, Anyang, South Korea.
Soo Joo LeeDepartment of Neurology, Eulji University Hospital, Daejeon, South Korea.
Jae Guk KimDepartment of Neurology, Eulji University Hospital, Daejeon, South Korea.
Jae-Kwan ChaDepartment of Neurology, Dong-A University Hospital, Busan, South Korea.
Dae-Hyun KimDepartment of Neurology, Dong-A University Hospital, Busan, South Korea.
Jun LeeDepartment of Neurology, Yeungnam University Hospital, Daegu, South Korea.
Moon-Ku HanDepartment of Neurology, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Seongnam, South Korea.
Yong-Jin ChoDepartment of Neurology, Inje University Ilsan Paik Hospital, Goyang, South Korea.
Byung-Chul LeeDepartment of Neurology, Hallym University Sacred Heart Hospital, Anyang, South Korea.
Philip M BathStroke Trials Unit, University of Nottingham, Nottingham, UK.
Joanna M WardlawCentre for Clinical Brain Sciences, UK Dementia Research Institute Centre, University of Edinburgh, Edinburgh, UK.ORCID http://orcid.org/0000-0002-9812-6642
Hee-Joon BaeDepartment of Neurology, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Seongnam, South Korea.
Hosung KimMark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.ORCID http://orcid.org/0000-0002-2269-8644
Dong-Eog KimMedical Science Research Center, Dongguk University, Goyang, South Korea. kdongeog@duih.org.ORCID http://orcid.org/0000-0002-9339-6539

Funding

Worldwide Tractometry Initiative to Investigate Brain Microstructure, Cognitive Impairment & Dementia in Parkinsons DiseaseRF1NS136995 · NINDS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI JAHANSHAD, NEDA, THOMPSON, PAUL M · 2024 to 2024
$2.2M
Training in the Multiscale and Multimodal Analysis of Biomarkers in Alzheimer’s DiseaseT32AG058507 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI ARTHUR W TOGA · 2018 to 2026
$2.1M
Causal and Event Based Modeling of Brain Alterations in ADRDR01AG087513 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Neda Jahanshad · 2025 to 2026
$1.2M
NIA NIH HHS R01 AG087513NIA NIH HHS T32 AG058507NINDS NIH HHS RF1 NS136995
6 · The paper itself

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.

Indexed as

StrokeWhite MatterAgedBrainDisease ProgressionFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedPrognosisRisk Factors

Identifiers

PMID41136463
PMCPMC12552450

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.