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Abstract #2581

Prognosis of body function in Parkinson’s disease using diffusion magnetic resonance imaging

Chih-Chien Tsai1, Po-Yuan Chen2, Sung-han Lin2, Shu-Hang Ng3, Yao-Liang Chen4, Chin-Song Lu5, Jur-Shan Cheng6, Yi-Hsin Weng5, Wey-Yil Lin7, Yi-Ming Wu3, and Jiun-Jie Wang2

1Healthy Aging Research Center, Chang Gung University, TaoYuan, Taiwan, 2Department of Medical Imaging and Radiological Sciences, Chang Gung University, TaoYuan, Taiwan, 3Department of Medical Imaging and Intervention, Chang Gung Memorial Hospital, Linkou, Taiwan, 4Department of Medical Imaging and Intervention, Chang Gung Memorial Hospital, Keelung, Taiwan, 5Neuroscience Research Center, Chang Gung Memorial Hospital, Linkou, Taiwan, 6Clinical Informatics and Medical Statistics Research Center, Chang Gung University, TaoYuan, Taiwan, 7Department of Neurology, Landseed Hospital, TaoYuan, Taiwan

Parkinson’s disease (PD) is a common progressive neurodegenerative disorder characterized by resting tremor, bradykinesia, restricted mobility, and postural instability. PD has a progressive course and is associated with increased mortality, with physical disability and non-motor symptoms exerting a significant negative impact on quality of life. Robust early prediction of clinical outcomes in Parkinson’s disease would be paramount for implementing appropriate management interventions. The predictive power varied according to the clinical measures used and was highest in the prediction of UPDRS. This finding was further confirmed by using bootstrap approach and leave-one-out cross-validation analysis.

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