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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Bibliografiske detaljer

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
Format:	Artigo
Sprog:	Inglês
Udgivet:	Nature Portfolio 2026-01-01
Serier:	Scientific Reports
Fag:	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
Online adgang:	https://doi.org/10.1038/s41598-025-33418-4
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