Graph Theory Analysis of the Cortical Functional Network During Sleep in Patients With Depression

• DOI: 10.3389/fphys.2022.858739
• Publication Date: 2022-06-01T16:54:02Z
• Authors: Yingjie Song; Kejie Wang; Yu Wei; Yongpeng Zhu; Jinfeng Wen; Yuxi Luo
• Keywords: Depression; Functional impairment

Depression, a common mental illness that seriously affects the psychological health of patients, is also thought to be associated with abnormal brain functional connectivity. This study aimed explore differences in sleep-state network topology depressed patients. A total 25 healthy participants and 26 patients underwent overnight 16-channel electroencephalography (EEG) examination. The cortical networks were constructed by using connectivity metrics based on weighted phase lag index (WPLI) between EEG signals. results indicated exhibited higher global efficiency node strength than participants. Furthermore, group right-lateralization δ band. top 30% both groups shown undirected graphs, revealing distinct link patterns control groups. Links hemispheres noted patient group, while links only observed within each hemisphere, there many long-range inside hemisphere. altered may provide clues for better understanding depression pathology. Overall, become powerful tool diagnosis depression.