Individualized lesion-symptom mapping using explainable artificial intelligence for the cognitive impact of white matter hyperintensities

Individualized lesion-symptom mapping using explainable artificial intelligence for the cognitive impact of white matter hyperintensities

Lesion-symptom mapping methods assess the relationship between lesions caused by cerebral small vessel disease and cognition, but current technology like support vector regression (SVR)) primarily provide group-level results. We propose a novel lesion-symptom mapping approach that can indicate how l...

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Bibliographic Details
Main Authors: Ryanne Offenberg, Alberto De Luca, Geert Jan Biessels, Frederik Barkhof, Wiesje M. van der Flier, Argonde C. van Harten, Ewoud van der Lelij, Josien Pluim, Hugo Kuijf
Format: Article
Language:English
Published: Elsevier 2025-01-01
Series:NeuroImage: Clinical
Subjects:
Lesion-symptom mapping
Neural network
Explainable artificial intelligence
Vascular cognitive impairment
Machine learning
Online Access:http://www.sciencedirect.com/science/article/pii/S2213158225000609
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