An in-depth investigation of motor and non-motor symptoms using diffusion tensor imaging (DTI) measures in Parkinson's disease (PD) patients: A PPMI data analysis
Mehrdad Mozafar, Zobeydeh Dehghan Manshadi, Zohreh Molaei, Hedye Babaei, Meysam Mansouri, Mohammad Sadeghi, Mahsa Mayeli · FENS Forum 2024
This comprehensive study aimed to evaluate motor and non-motor symptoms of Parkinson's disease (PD) and patients with a scan without evidence of dopaminergic deficit (SWEDD) using diffusion tensor imaging (DTI) metrics. The study included 156 PD, 36 SWEDD, and 68 healthy control (HC) subjects, extracting comprehensive demographic data, motor variables, and full-scale non-motor tests from the PPMI database. Additionally, the study incorporated DTI's fractional anisotropy metric across three Substantia Nigra (SN) subregions. The results indicated notable differences in depressed mood percentages
ePoster · Neuroscience