Brain microstructural alterations of depression in Parkinson's disease: A systematic review of diffusion tensor imaging studies

Hum Brain Mapp. 2022 Dec 15;43(18):5658-5680. doi: 10.1002/hbm.26015. Epub 2022 Jul 20.

Abstract

Depression, a leading cause of disability worldwide, is also the most prevalent psychiatric problem among Parkinson disease patients. Both depression and Parkinson disease are associated with microstructural anomalies in the brain. Diffusion tensor imaging techniques have been developed to characterize the abnormalities in cerebral tissue. We included 11 studies investigating brain microstructural abnormalities in depressed Parkinson's disease patients. The included studies found alterations to essential brain structural networks, including impaired network integrity for specific cortical regions, such as the temporal and frontal cortices. Additionally, findings indicate that microstructural changes in specific limbic structures, such as the prefronto-temporal regions and connecting white matter pathways, are altered in depressed Parkinson's disease compared to non-depressed Parkinson's disease and healthy controls. There remain inconsistencies between studies reporting DTI measures and depression severity in Parkinson disease participants. Additional research evaluating underlying neurobiological relationships between major depression, depressed Parkinson's disease, and non-depressed Parkinson's disease is required to disentangle further mechanisms that underlie depression and related somatic symptoms, in Parkinson disease.

Keywords: Parkinson disease; cognitive impairment; depression; diffusion tensor imaging; systematic review.

Publication types

  • Systematic Review
  • Review

MeSH terms

  • Brain / diagnostic imaging
  • Depression / diagnostic imaging
  • Depression / etiology
  • Diffusion Tensor Imaging / methods
  • Humans
  • Parkinson Disease* / complications
  • Parkinson Disease* / diagnostic imaging
  • Parkinson Disease* / psychology
  • White Matter* / diagnostic imaging