Determination of Diffusion Weighted Magnetic Resonance Imaging Based Biomarkers of Mild Cognitive Impairment in Parkinson’s Disease

• Published in: 2017 21st National Biomedical Engineering Meeting (BIYOMUT) pp. i - iv
• Main Authors: Kaplan, Ozge Can, Arslan, Dilek Betul, Cengiz, Sevim, Kıcik, Ani, Erdogdu, Emel, Hatay, Gokce Hale, Tufekcioglu, Zeynep, Bilgic, Basar, Hanagasi, Hasmet, Gurvit, Hakan, Demiralp, Tamer, Ulug, Aziz Mufit, Isik, Esin Ozturk
• Format: Conference Proceeding
• Language: English; Turkish
• Published: IEEE 01-11-2017
• Subjects: Alzheimer's disease; Magnetic resonance imaging; Parkinson's disease; Software libraries; Transmission line matrix methods; White matter
• DOI: 10.1109/BIYOMUT.2017.8479249

This study aims to specify biomarkers of Parkinson's disease mild cognitive impairment (PD-MCI) based on fractional anisotropy (FA) and mean diffusivity (MD) maps obtained from diffusion weighted magnetic resonance imaging (DWMRI). T1 and diffusion weighted MR images collected from 27 cognitively normal Parkinson's disease (PD-CN), 32 mild cognitively impaired Parkinson's disease (PD-MCI), and 18 healthy control (HC) volunteers, at a clinical 3T MR scanner, were processed using FMRIB Software Library (FSL)'s toolboxes. Average regional values of FA and MD maps and tract based spatial statistics (TBSS) were utilized to define statistically significant differences between the participant subject groups.