Aberrant Voxel-based Degree Centrality and Functional Connectivity in Parkinson's Disease Patients with Fatigue

Overview

Journal CNS Neurosci Ther

Specialties Neurology
Pharmacology

Date 2023 Apr 10

PMID 37032641

Authors

Aidi Shan

Heng Zhang

Mengxi Gao

Lina Wang

Xingyue Cao

Caiting Gan

Huimin Sun

Yongsheng Yuan

Kezhong Zhang

Affiliations

Soon will be listed here.

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.

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

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