Predicting Motor Outcome of Subthalamic Nucleus Deep Brain Stimulation for Parkinson’s Disease Using Quantitative Susceptibility Mapping and Radiomics: A Pilot Study

Predicting Motor Outcome of Subthalamic Nucleus Deep Brain Stimulation for Parkinson’s Disease Using Quantitative Susceptibility Mapping and Radiomics: A Pilot Study

BackgroundEmerging evidence indicates that iron distribution is heterogeneous within the substantia nigra (SN) and it may reflect patient-specific trait of Parkinson’s Disease (PD). We assume it could account for variability in motor outcome of subthalamic nucleus deep brain stimulation (STN-DBS) in...

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Bibliographic Details
Main Authors: Yu Liu, Bin Xiao, Chencheng Zhang, Junchen Li, Yijie Lai, Feng Shi, Dinggang Shen, Linbin Wang, Bomin Sun, Yan Li, Zhijia Jin, Hongjiang Wei, Ewart Mark Haacke, Haiyan Zhou, Qian Wang, Dianyou Li, Naying He, Fuhua Yan
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-09-01
Series:Frontiers in Neuroscience
Subjects:
quantitative susceptibility mapping
radiomics
deep brain stimulation
Parkinson’s disease
motor outcome
prediction
Online Access:https://www.frontiersin.org/articles/10.3389/fnins.2021.731109/full

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https://www.frontiersin.org/articles/10.3389/fnins.2021.731109/full

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