Article

Predicting Motor Trajectories and Mapping Progression Subtypes in Parkinson’s Disease via Structure–Function Neural Field Encoding and Multi-View Representation

2025-12-23

Abstract excerpt

Parkinson’s disease (PD) is characterized by substantial heterogeneity in progression patterns, posing major challenges for individualized prognosis and clinical management. This study presents Structure–Function Neural Field Alignment and Multi-View Distillation (SFNFA-MVD), a novel deep learning framework that integrates structural, functional, and diffusion MRI to predict motor trajectories and identify progres...

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Literature Corpus work: fe78c273-1505-5921-9d12-793bc292e9ac
DOI: 10.64898/2025.12.21.25342791

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