Abnormal white matter microstructures in Parkinson's disease and comorbid depression: A whole-brain diffusion tensor imaging study

Neurosci Lett. 2020 Sep 14:735:135238. doi: 10.1016/j.neulet.2020.135238. Epub 2020 Jul 6.

Abstract

Objective: Depressive symptoms are the most common non-motor symptom accompanying Parkinson's disease (PD); however, the neural basis of depression in PD remains unclear. The aim of this study was to characterize possible depression-related white matter microstructural differences in patients with PD and comorbid depression compared with PD patients and healthy controls (HC) without depression.

Methods: We used diffusion tensor imaging (DTI) to analyze white matter integrity in depressed PD patients (n = 30), non-depressed PD patients (n = 43), and HC (n = 91). Five MRI-derived indices were estimated: fractional anisotropy (FA), mean diffusivity (MD), axial diffusivity (AD), radial diffusivity (RD), and white matter volume (WMV).

Results: Compared with HC and non-depressed PD, depressed PD patients showed significantly increased AD values in the body of corpus callosum, right anterior corona radiate, and left hippocampal part of the cingulum, as well as increased MD values in the left hippocampal part of the cingulum.

Conclusions: Our results show that frontal and limbic white matter integrity is impaired in depressed PD patients. These findings can be used to better understand potential mechanisms of depression in PD.

Keywords: Depression; Diffusion tensor imaging; Frontal-limbic; Parkinson’s disease.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Aged
  • Brain / diagnostic imaging*
  • China / epidemiology
  • Comorbidity
  • Cross-Sectional Studies
  • Depression / diagnostic imaging*
  • Depression / epidemiology
  • Depression / psychology
  • Diffusion Tensor Imaging / methods*
  • Female
  • Humans
  • Male
  • Middle Aged
  • Parkinson Disease / diagnostic imaging*
  • Parkinson Disease / epidemiology
  • Parkinson Disease / psychology
  • White Matter / diagnostic imaging*