Basal Ganglia Compensatory White Matter Changes on DTI in Alzheimer's Disease

Cells. 2023 Apr 23;12(9):1220. doi: 10.3390/cells12091220.

Abstract

The volume reduction of the gray matter structures in patients with Alzheimer's disease is often accompanied by an asymmetric increase in the number of white matter fibers located close to these structures. The present study aims to investigate the white matter structure changes in the motor basal ganglia in Alzheimer's disease patients compared to healthy controls using diffusion tensor imaging. The amounts of tracts, tract length, tract volume, quantitative anisotropy, and general fractional anisotropy were measured in ten patients with Alzheimer's disease and ten healthy controls. A significant decrease in the number of tracts and general fractional anisotropy was found in patients with Alzheimer's disease compared to controls in the right caudate nucleus, while an increase was found in the left and the right putamen. Further, a significant decrease in the structural volume of the left and the right putamen was observed. An increase in the white matter diffusion tensor imaging parameters in patients with Alzheimer's disease was observed only in the putamen bilaterally. The right caudate showed a decrease in both the diffusion tensor imaging parameters and the volume in Alzheimer's disease patients. The right pallidum showed an increase in the diffusion tensor imaging parameters but a decrease in volume in Alzheimer's disease patients.

Keywords: Alzheimer’s disease; DTI; basal ganglia; compensatory changes; white matter.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Alzheimer Disease* / diagnostic imaging
  • Diffusion Tensor Imaging / methods
  • Gray Matter / diagnostic imaging
  • Humans
  • Putamen / diagnostic imaging
  • White Matter* / diagnostic imaging

Grants and funding

This research was funded by Charles University, grant numbers COOP 33, 36 and 38, and 260388/SVV/2023” and by the Ministry of Health of the Czech Republic, grant number NU20-04-00393, and conceptual development of research organization IKEM, IN 00023001, as well as partially by the long-term strategic development financing of the Institute of Computer Science, grant number RVO 67985807, and the European Regional Development Fund-Project, grant number CZ.02.1.01/0.0/0.0/16 019/0000766.