Disrupted topological organization of functional brain networks in Alzheimer's disease patients with depressive symptoms.

ABSTRACT:

Background

Depression is a common symptom of Alzheimer's disease (AD), but the underlying neural mechanism is unknown. The aim of this study was to explore the topological properties of AD patients with depressive symptoms (D-AD) using graph theoretical analysis.

Methods

We obtained 3-Tesla rsfMRI data from 24 D-AD patients, 20 non-depressed AD patients (nD-AD), and 20 normal controls (NC). Resting state networks were identified using graph theory analysis. ANOVA with a two-sample t-test post hoc analysis in GRETNA was used to assess the topological measurements.

Results

Our results demonstrate that the three groups show characteristic properties of a small-world network. NCs showed significantly larger global and local efficiency than D-AD and nD-AD patients. Compare

SUBMITTER: Guo Z 

PROVIDER: S-EPMC9764564 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature