Work

Alterations in individual structural covariance networks in patients with insomnia disorder

Year: 2025

Type: article

Abstract: Insomnia disorder has become a prevalent sleep issue in modern society. Despite its widespread occurrence, the underlying neural mechanisms of insomnia, particularly concerning brain structure, remain poorly understood. This study examines the differences in brain network structure between insomnia patients and healthy controls by analyzing the topological properties of individual structural covariance networks. The results reveal significant differences between insomnia patients and healthy controls in global network topological metrics—including the small-worldness index, local efficiency, characteristic path length, and clustering coefficient—as well as in the local topological metric of nodal degree. Moreover, these differences are closely associated with the severity of insomnia symptoms. The findings suggest that disruptions in brain network structure may represent a potential mechanism underlying insomnia, providing a theoretical basis for clinical diagnosis and treatment.

Source: Brain-Apparatus Communication A Journal of Bacomics

DOI: 10.1080/27706710.2025.2465542

Authors: Jiatao Li, Haobo Zhang, Xu Lei

Institution: Southwest University

Language: English

Topic: Functional Brain Connectivity Studies

Subfield: Cognitive Neuroscience

Field: Neuroscience

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: diamond

Funder: National Natural Science Foundation of China