Voxelwise correlation of neighbors as a hypothesis driven framework for characterizing white matter lesion heterogeneity

Abstract White matter hyperintensities (WMH) on T2-weighted brain magnetic resonance imaging (MRI) are common in aging and associated with small vessel cerebrovascular disease. Standard segmentation methods treat these lesions as uniform binary entities, fundamentally reducing WMH signal by flatteni...

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Detalhes bibliográficos

Principais autores:	Mohamad J. Alshikho, Patrick J. Lao, Natalie C. Edwards, Jeffrey D. Pyne, Dejania Cotton-Samuel, Clarissa D. Morales, Joncarlos Berroa, Natalie Morel, Andrea Benavides, Rabel E. Ventura, Rafael V. Lippert, Christiane Hale, Jennifer J. Manly, Richard P. Mayeux, Adam M. Brickman
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Nature Portfolio 2026-01-01
Colecção:	Scientific Reports
Assuntos:	WMH: White matter hyperintensity LST: SPM’s Lesion segmentation tool LPA: Lesion prediction algorithm ASWMH: Automatic segmentation of white matter hyperintensity RLM: Robust linear model VCON: Voxel-wise correlation of neighbors
Acesso em linha:	https://doi.org/10.1038/s41598-025-33418-4
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