Fig. 4: ROC curves from the support vector machine (SVM) method using all topological properties to classify three groups. | Translational Psychiatry

Fig. 4: ROC curves from the support vector machine (SVM) method using all topological properties to classify three groups.

From: Alterations of core structural network connectome associated with suicidal ideation in major depressive disorder patients

Fig. 4: ROC curves from the support vector machine (SVM) method using all topological properties to classify three groups.The alternative text for this image may have been generated using AI.

Nodal properties (non-hubs of Ne, Dc, Bc and their corresponding hubs), and connections (rich-club, feeder, and local) are selected as features. Combining pairwise comparisons A MDDSI vs CN, B MDDNSI vs CN, C MDDSI vs MDDNSI, ROC curves reveal feeder connections have a better classification effect for all indicators. CN, cognitively normal; MDDSI, major depression disorder with suicidal ideation; MDDNSI, major depression disorder with non-suicidal ideation; AUC, area under curve; ROC, receiver operating characteristic curve; Ne, nodal efficiency; Bc, betweeness centrality; Dc, degree centrality.

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