Diffusion tensor imaging technique for studying brain microstructural changes in Parkinson’s disease patients

Abstract

Diffusion tensor imaging (DTI) was used to observe degeneration processes at the microstructural and functional levels in the brains of patients with Parkinson’s disease (PD). Two tensor-based unscented Kalman filter (UKF) was used for analyses of eight regions: the substantia nigra, putamen, caudate nucleus, globus pallidus, primary motor cortex, preprimary motor cortex, supplementary motor area (SMA), presupplementary motor area (pre-SMA), and whole brain of patients with PD (n = 14) and controls (n = 12). We analyzed eight DTI metrics in the entire brain and eight brain regions separately for each hemisphere using univariate and multivariate statistical analysis and their correlation with the clinical parameters. The most affected brain regions in patients with PD were the substantia nigra, pre-SMA, globus pallidus, and caudate nucleus. These results suggest that DTI is an adequate tool for evaluating structural and functional alterations, including inflammation, reduced fiber length, changes in neurite density, axonal growth, demyelination, and axonal damage or loss, in the studied brain regions of patients with PD. The results also revealed a generalized brain degeneration process. In conclusion, DTI can be applied for in vivo studies of the degenerative process and could be considered a complementary method in future studies to improve the accuracy of PD diagnosis.