Exploiting macro- and micro-structural brain changes for improved Parkinson’s disease classification from MRI data

Exploiting macro- and micro-structural brain changes for improved Parkinson’s disease classification from MRI data

Abstract Parkinson’s disease (PD) is the second most common neurodegenerative disease. Accurate PD diagnosis is crucial for effective treatment and prognosis but can be challenging, especially at early disease stages. This study aimed to develop and evaluate an explainable deep learning model for PD...

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Bibliographic Details
Main Authors: Milton Camacho, Matthias Wilms, Hannes Almgren, Kimberly Amador, Richard Camicioli, Zahinoor Ismail, Oury Monchi, Nils D. Forkert, For the Alzheimer’s Disease Neuroimaging Initiative
Format: Article
Language:English
Published: Nature Portfolio 2024-02-01
Series:npj Parkinson's Disease
Online Access:https://doi.org/10.1038/s41531-024-00647-9

Internet

https://doi.org/10.1038/s41531-024-00647-9

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