Keywords: Parkinson's Disease, Parkinson's Disease, drug-naïve Parkinson’s disease, Freezing of gait (FOG)We developed a model that could predict the occurrence of Freezing of gait (FOG) at the individual level using machine learning with the clinical, laboratory, and cerebral structural imaging information of early drug-naïve Parkinson’s disease (PD) patients. Data from 158 early drug-naïve PD patients at baseline were obtained from the Parkinson’s Progression Markers Initiative cohort. The predictive performance of future FOG in early PD was evaluated using elastic net-support vector machine models. T1WI morphometric markers have the potential to help predict future FOG in patients with early PD at an individual level, with improved performance when integrated with clinical variables.
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