Table 3. ROC analysis for differentiating the patients/siblings from the controls.

Connectivity	Area Under the Curve	Cut-off point	Sensitivity	Specificity
Separating patients from controls
DMN seed – right Crus II	0.818	0.2209a	85.71% (42/49)	76.09% (35/46)
Separating controls from controls
DMN seed – right Crus II	0.751	0.1403	73.91% (34/46)	71.74% (33/46)

ROC = receiver operating characteristic, DMN = default mode network.

^aBy this cut-off point, the z values of the clusters with shared increased DMN seed – right Crus II connectivity could correctly classify 42 of 49 patients and 35 of 46 controls, resulted in a sensitivity of 85.71% and a specificity of 76.09%. The meaning of other cut-off point was similar.