Prediction of STN-DBS for Parkinson’s disease by uric acid-related brain function connectivity: A machine learning study based on resting state function MRI

Prediction of STN-DBS for Parkinson’s disease by uric acid-related brain function connectivity: A machine learning study based on resting state function MRI

IntroductionParkinson’s disease (PD) is a neurodegenerative disorder characterized by dyskinesia and is closely related to oxidative stress. Uric acid (UA) is a natural antioxidant found in the body. Previous studies have shown that UA has played an important role in the development and development...

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Bibliographic Details
Main Authors: Bowen Chang, Chi Xiong, Chen Ni, Peng Chen, Manli Jiang, Jiaming Mei, Chaoshi Niu
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-02-01
Series:Frontiers in Aging Neuroscience
Subjects:
Parkinson’s disease
deep brain stimulation
functional connectivity
uric acid
machine learning
Online Access:https://www.frontiersin.org/articles/10.3389/fnagi.2023.1105107/full

Internet

https://www.frontiersin.org/articles/10.3389/fnagi.2023.1105107/full

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