Lesion-Level Subtypes of White Matter Hyperintensity Evolution Beyond Spatial Location

BACKGROUND AND OBJECTIVES: White matter hyperintensities (WMHs) are common neuroimaging markers of cerebrovascular pathology in aging and neurodegeneration. Despite their clinical relevance, WMH are typically quantified using global burden measures that assume a relatively homogeneous pathologic process. However, growing evidence suggests substantial biological heterogeneity across lesions. We aimed to identify lesion-level WMH subtypes beyond anatomic location and evaluate their associations with neurodegeneration and vascular risk. METHODS: We conducted a longitudinal observational study analyzing 3224 MRI scans from 403 participants spanning cognitively normal aging, mild cognitive impairment, Alzheimer, and Parkinson disease. Imaging at baseline and 2-year follow-up included structural, diffusion, and resting-state MRI. A total of 2107 WMH lesions were identified, and lesion-wise longitudinal changes were used to derive subtypes using unsupervised clustering. Associations with neurodegeneration and vascular risk factors were assessed using multivariable models with false discovery rate correction. RESULTS: lesion burden. Clustering robustness was supported by sensitivity analyses excluding anatomical location and by external validation in an independent cohort reproducing the main atrophy-related findings. DISCUSSION: WMH are not a homogeneous entity but comprise biologically distinct lesion subtypes with differential neurobiological and clinical significance. Lesion composition may therefore offer a more informative framework than global WMH burden for understanding cerebrovascular contributions to aging and neurodegeneration, with potential implications for risk stratification, clinical interpretation, and targeted interventions.

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Journal
Neurology
Published
2026-08-27
DOI
https://doi.org/10.1212/wnl.0000000000218472
Primary Topic
Advanced Neuroimaging Techniques and Applications
Type
article
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article

Lesion-Level Subtypes of White Matter Hyperintensity Evolution Beyond Spatial Location

Yasser Iturria‐Medina, Enzo Tagliazuchi, David Alan Bennett, Vicente Medel et al.
Neurology
Advanced Neuroimaging Techniques and Applications
article

Lesion-Level Subtypes of White Matter Hyperintensity Evolution Beyond Spatial Location

Yasser Iturria‐Medina, Enzo Tagliazuchi, David Alan Bennett, Vicente Medel, Raúl González-Gómez, C. Gonzalez-Campo
article en

Abstract

BACKGROUND AND OBJECTIVES: White matter hyperintensities (WMHs) are common neuroimaging markers of cerebrovascular pathology in aging and neurodegeneration. Despite their clinical relevance, WMH are typically quantified using global burden measures that assume a relatively homogeneous pathologic process. However, growing evidence suggests substantial biological heterogeneity across lesions. We aimed to identify lesion-level WMH subtypes beyond anatomic location and evaluate their associations with neurodegeneration and vascular risk. METHODS: We conducted a longitudinal observational study analyzing 3224 MRI scans from 403 participants spanning cognitively normal aging, mild cognitive impairment, Alzheimer, and Parkinson disease. Imaging at baseline and 2-year follow-up included structural, diffusion, and resting-state MRI. A total of 2107 WMH lesions were identified, and lesion-wise longitudinal changes were used to derive subtypes using unsupervised clustering. Associations with neurodegeneration and vascular risk factors were assessed using multivariable models with false discovery rate correction. RESULTS: lesion burden. Clustering robustness was supported by sensitivity analyses excluding anatomical location and by external validation in an independent cohort reproducing the main atrophy-related findings. DISCUSSION: WMH are not a homogeneous entity but comprise biologically distinct lesion subtypes with differential neurobiological and clinical significance. Lesion composition may therefore offer a more informative framework than global WMH burden for understanding cerebrovascular contributions to aging and neurodegeneration, with potential implications for risk stratification, clinical interpretation, and targeted interventions.

NeurologyVol. 107(6)
Rush University Medical Center (US), Montreal Neurological Institute and Hospital (CA), Consejo Nacional de Investigaciones Científicas y Técnicas (AR), Pontificia Universidad Católica de Chile (CL), Adolfo Ibáñez University (CL), Universidad de Buenos Aires (AR), Douglas Mental Health University Institute (CA), University of San Andrés (AR), Hospital do Servidor Público Estadual (BR)
Openalex Percentile: Top 11%
Advanced Neuroimaging Techniques and Applications
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