Effectiveness of imaging genetics analysis to explain degree of depression in Parkinson's disease.

ABSTRACT: Depression is one of the most common and important neuropsychiatric symptoms in Parkinson's disease and often becomes worse as Parkinson's disease progresses. However, the underlying mechanisms of depression in Parkinson's disease are not clear. The aim of our study was to find genetic features related to depression in Parkinson's disease using an imaging genetics approach and to construct an analytical model for predicting the degree of depression in Parkinson's disease. The neuroimaging and genotyping data were obtained from an openly accessible database. We computed imaging features through connectivity analysis derived from tractography of diffusion tensor imaging. The imaging features were used as intermediate phenotypes to identify genetic variants according to the imaging genetics a

SUBMITTER: Won JH 

PROVIDER: S-EPMC6370199 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature