Motor Progression in Early-Stage Parkinson's Disease: A Clinical Prediction Model and the Role of Cerebrospinal Fluid Biomarkers

Motor Progression in Early-Stage Parkinson's Disease: A Clinical Prediction Model and the Role of Cerebrospinal Fluid Biomarkers

Background: The substantial heterogeneity of clinical symptoms and lack of reliable progression markers in Parkinson's disease (PD) present a major challenge in predicting accurate progression and prognoses. Increasing evidence indicates that each component of the neurovascular unit (NVU) and b...

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Bibliographic Details
Main Authors: Ling-Yan Ma, Yu Tian, Chang-Rong Pan, Zhong-Lue Chen, Yun Ling, Kang Ren, Jing-Song Li, Tao Feng
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-01-01
Series:Frontiers in Aging Neuroscience
Subjects:
Parksinon's disease
motor progression
predictive model
Parkinson's progression markers initiative
machine learning
Online Access:https://www.frontiersin.org/articles/10.3389/fnagi.2020.627199/full

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https://www.frontiersin.org/articles/10.3389/fnagi.2020.627199/full

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