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Predicting Motor Outcome of Subthalamic Nucleus...
Journal article

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

Abstract

BACKGROUND: Emerging 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 PD. OBJECTIVE: To investigate whether SN susceptibility features derived from radiomics with machine learning (RA-ML) can predict motor outcome …

Authors

Liu Y; Xiao B; Zhang C; Li J; Lai Y; Shi F; Shen D; Wang L; Sun B; Li Y

Journal

Frontiers in Neuroscience, Vol. 15, ,

Publisher

Frontiers

DOI

10.3389/fnins.2021.731109

ISSN

1662-4548