Topological alteration of the brain structural network in Parkinson's disease with apathy

Copyright © 2024 The Authors. Published by Elsevier Inc. All rights reserved..

BACKGROUND: Apathy is a common neuropsychiatric manifestations in Parkinson's disease (PD), but neural network mechanisms still remain elusive. We aim to investigate the topological alteration of the brain structural network in PD with apathy.

METHOD: In the present study, a total of 47 apathetic PD (aPD) patients, 37 non-apathetic PD (naPD) patients, and 40 healthy controls (HCs) were enrolled. Diffusion tensor imaging (DTI) in conjunction with graph-theoretic approaches were used to explore the alterations of topological properties of the WM structural network arising from apathy in PD. One-way analysis of covariance and post hoc analyses were performed to explore differences among the three groups. Correlations were ascertained to examine relationships between the Starkstein Apathy Scale (AS) scores and significantly different network metrics among the three groups.

RESULTS: Both aPD and naPD patients remained small-world topology. However, compared with the naPD patients, aPD patients showed increased clustering coefficient (Cp) at the global level. At the regional level, aPD exhibited decreased nodal properties, mainly in the right dorsolateral prefrontal cortex (DLPFC), the right caudate nucleus (CAU), the right hippocampus, and the right superior parietal gyrus. Further, AS scores were negatively correlated with degree centrality of the right DLPFC (r = -0.254, p = 0.020) and the right CAU ( r = -0.357, p = 0.001) in the pooled patients with PD.

CONCLUSIONS: The findings suggested that apathy in PD presented relatively optimized global topological properties of the brain structural network and disrupted topological organization of the regional network, particularly involving the fronto-striatal-limbic circuits. The altered topological properties of abnormal brain regions might be used to understand the physiopathologic mechanism of the neural network in aPD patients.

Medienart:

E-Artikel

Erscheinungsjahr:

2024

Erschienen:

2024

Enthalten in:

Zur Gesamtaufnahme - volume:208

Enthalten in:

Brain research bulletin - 208(2024) vom: 10. März, Seite 110899

Sprache:

Englisch

Beteiligte Personen:

Ge, Shaoyun [VerfasserIn]
Liu, Jun [VerfasserIn]
Jia, Yongfeng [VerfasserIn]
Li, Zihan [VerfasserIn]
Wang, Jianwei [VerfasserIn]
Wang, Min [VerfasserIn]

Links:

Volltext

Themen:

Apathy
Diffusion tensor imaging
Graph theory
Journal Article
Parkinson’s disease

Anmerkungen:

Date Completed 05.03.2024

Date Revised 05.03.2024

published: Print-Electronic

Citation Status MEDLINE

doi:

10.1016/j.brainresbull.2024.110899

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM368302997