Medicine and Health

Diagnosis of adolescent depression with sleep disorder based on network topological attributes and functional connectivity

S. Hu, X. Zuo, et al.

Using resting-state fMRI and brain network metrics, this study predicts sleep disorders in depressed adolescents by combining betweenness centrality and functional connectivity — finding altered BC in MTG.R, DCG.L and CAU.L and pronounced MOG.L–MTG.R connectivity changes. An SVM achieved 81.40% LOOCV and 74.19% external accuracy. Research conducted by Authors present in <Authors> tag.

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