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Abnormal Topological Organization of Structural Covariance Networks in Patients with Temporal Lobe Epilepsy Comorbid Sleep Disorder

Authors :
Shengyu Yang
Ying Wu
Lanfeng Sun
Yuling Lu
Kai Qian
Huimin Kuang
Jie Meng
Yuan Wu
Source :
Brain Sciences, Vol 13, Iss 10, p 1493 (2023)
Publication Year :
2023
Publisher :
MDPI AG, 2023.

Abstract

Objective: The structural covariance network (SCN) alterations in patients with temporal lobe epilepsy and comorbid sleep disorder (PWSD) remain poorly understood. This study aimed to investigate changes in SCNs using structural magnetic resonance imaging. Methods: Thirty-four PWSD patients, thirty-three patients with temporal lobe epilepsy without sleep disorder (PWoSD), and seventeen healthy controls underwent high-resolution structural MRI imaging. Subsequently, SCNs were constructed based on gray matter volume and analyzed via graph-theoretical approaches. Results: PWSD exhibited significantly increased clustering coefficients, shortest path lengths, transitivity, and local efficiency. In addition, various distributions and numbers of SCN hubs were identified in PWSD. Furthermore, PWSD networks were less robust to random and target attacks than those of healthy controls and PWoSD patients. Conclusion: This study identifies aberrant SCN changes in PWSD that may be related to the susceptibility of patients with epilepsy to sleep disorders.

Details

Language :
English
ISSN :
20763425
Volume :
13
Issue :
10
Database :
Directory of Open Access Journals
Journal :
Brain Sciences
Publication Type :
Academic Journal
Accession number :
edsdoj.2f697a797e0f4039a56e9e2d532a9995
Document Type :
article
Full Text :
https://doi.org/10.3390/brainsci13101493