A machine learning-based classification approach on Parkinson’s disease diffusion tensor imaging datasets

A machine learning-based classification approach on Parkinson’s disease diffusion tensor imaging datasets

Abstract Introduction The presence of motor signs and symptoms in Parkinson’s disease (PD) is the result of a long-lasting prodromal phase with an advancing neurodegenerative process. The identification of PD patients in an early phase is, however, crucial for developing disease-modifying drugs. The...

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Bibliographic Details
Main Authors: Jannik Prasuhn, Marcus Heldmann, Thomas F. Münte, Norbert Brüggemann
Format: Article
Language:English
Published: BMC 2020-11-01
Series:Neurological Research and Practice
Subjects:
Parkinson’s disease
DTI
Machine learning
Substantia nigra
Neuroimaging
Online Access:http://link.springer.com/article/10.1186/s42466-020-00092-y

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http://link.springer.com/article/10.1186/s42466-020-00092-y

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