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A Resting-state Electroencephalographic Microstates Study in Depressed Adolescents with Non-suicidal Self-injury by Jin-hui Hu; Dong-dong Zhou; Lin-li Ma; Lin Zhao; Xiao-qing He; Xin-yu Peng; Ran Chen; Wan-jun Chen; Zheng-hao Jiang; Liu-yi Ran; Xin-yi Liu; Wan-qing Tao; Ke Yuan; Wo Wang is a Psychology article available to read on EtoBox.
What is A Resting-state Electroencephalographic Microstates Study in Depressed Adolescents with Non-suicidal Self-injury about?
Neuroimaging studies have revealed abnormal brain activities in depressed teenagers who engage in non-suicidal self-injury (NSSI). We used resting-state electroencephalography (EEG) microstate analysis, which indicates the brief overlap of brain network activation for exploring the characteristics of large-scale cortical activities in depressed adolescents engaged with NSSI to clarify the underlying temporal mechanism. A modified k-means cluster algorithm was used to segment 64-channel resting-state EEG data into microstates. Data from 27 healthy adolescents, 37 adolescents with major depressive disorder (MDD), and 53 adolescents with both MDD and NSSI were examined in this study. The resting-state microstate parameters were compared among groups using the one-way ANOVA and Spearman correlation. Then the associations between significantly different microstate parameters and the depressive severity and self-harming data in the patient groups were further analyzed. The MDD group had higher contribution (p < 0.01), occurrence (p < 0.01) of microstate A, and higher microstate E→A transition (p < 0.05) than the HC and the NSSI group. The MDD group showed a distinctly longer duration (p
Who reads A Resting-state Electroencephalographic Microstates Study in Depressed Adolescents with Non-suicidal Self-injury?
It is typically read by researchers, students, and practitioners in Psychology.
- Author
- Jin-hui Hu; Dong-dong Zhou; Lin-li Ma; Lin Zhao; Xiao-qing He; Xin-yu Peng; Ran Chen; Wan-jun Chen; Zheng-hao Jiang; Liu-yi Ran; Xin-yi Liu; Wan-qing Tao; Ke Yuan; Wo Wang
- Publisher
- Elsevier BV
- Published
- 2023
- Language
- EN
- Field
- Psychology (Social Sciences)