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Dataset Information

Disrupted small-world architecture and altered default mode network topology of brain functional network in college students with subclinical depression.


ABSTRACT:

Background

Subclinical depression (ScD), serving as a significant precursor to depression, is a prevalent condition in college students and imposes a substantial health service burden. However, the brain network topology of ScD remains poorly understood, impeding our comprehension of the neuropathology underlying ScD.

Methods

Functional networks of individuals with ScD (n = 26) and healthy controls (HCs) (n = 33) were constructed based on functional magnetic resonance imaging data. These networks were then optimized using a small-worldness and modular similarity-based network thresholding method to ensure the robustness of functional networks. Subsequently, graph-theoretic methods were employed to investigated both global and nodal topological metrics of these functional net

SUBMITTER: Zhang B 

PROVIDER: S-EPMC11874799 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature