Aberrant voxel-based degree centrality and functional connectivity in Parkinson's disease patients with fatigue

CNS Neurosci Ther. 2023 Sep;29(9):2680-2689. doi: 10.1111/cns.14212. Epub 2023 Apr 10.

Abstract

Aims: The study aimed to investigate alterations in the inherent connectivity pattern of global functional networks in Parkinson's disease (PD) patients with fatigue.

Methods: Eighteen PD patients with fatigue (PD-F), 20 PD patients without fatigue (PD-NF), and 23 healthy controls (HCs) were recruited and analyzed by the voxel-wise degree centrality (DC) and the seed-based functional connectivity (FC) analysis. Meanwhile, the surface-based morphometry (SBM) analysis was also commanded to explore the structural alternations among groups.

Results: PD-F patients displayed reduced DC values in the left postcentral gyrus relative to PD-NF and HCs groups, while increased DC values in the bilateral precuneus compared to HCs. Simultaneously, altered DC value in the left postcentral gyrus negatively corresponded to the mean fatigue severity scale (FSS) in PD-F patients. Additionally, the receiver operating characteristic (ROC) curves uncovered that the reduced DC value of the left postcentral gyrus could discriminate PD-F from PD-NF and HCs groups. Our FC analysis further revealed that altered FC was located predominantly in the sensorimotor network in the PD-F group. Moreover, we discovered no statistically significant differences between the three groups concerning cortical thickness.

Conclusion: Our findings indicated that the altered functional connectivity in the sensorimotor network centering on the left postcentral gyrus and the bilateral precuneus might be the potential pathogenesis of PD with fatigue.

Keywords: Parkinson's disease; degree centrality; fatigue; functional connectivity; resting-state fMRI.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Brain Mapping
  • Fatigue / diagnostic imaging
  • Fatigue / etiology
  • Humans
  • Magnetic Resonance Imaging
  • Parietal Lobe
  • Parkinson Disease* / complications
  • Parkinson Disease* / diagnostic imaging