Imaging genetics approach to Parkinson's disease and its correlation with clinical score.

ABSTRACT: Parkinson's disease (PD) is a progressive neurodegenerative disorder associated with both underlying genetic factors and neuroimaging findings. Existing neuroimaging studies related to the genome in PD have mostly focused on certain candidate genes. The aim of our study was to construct a linear regression model using both genetic and neuroimaging features to better predict clinical scores compared to conventional approaches. We obtained neuroimaging and DNA genotyping data from a research database. Connectivity analysis was applied to identify neuroimaging features that could differentiate between healthy control (HC) and PD groups. A joint analysis of genetic and imaging information known as imaging genetics was applied to investigate genetic variants. We then compared the utility of com

SUBMITTER: Kim M 

PROVIDER: S-EPMC5399369 | biostudies-literature | 2017 Apr

REPOSITORIES: biostudies-literature