Fig. 6

ROC Curves for ROIs in Distinguishing CID from HC. This figure illustrates the diagnostic performance of six frontal ROIs in differentiating CID from HC)based on cortical activation during the VFT. ROC curves are plotted for each ROI, with sensitivity (%) on the y-axis and 100% - specificity (%) on the x-axis. The area under the curve (AUC) values and statistical significance are as follows: IFG_L, AUC = 0.681, P < 0.01, MFG_L, AUC = 0.698, P < 0.01, SFG_L, AUC = 0.7936, P < 0.01, SFG_R, AUC = 0.7759, P < 0.01, MFG_R, AUC = 0.7027, P < 0.01, and IFG_R, AUC = 0.6953, P < 0.01. The dashed diagonal line represents chance-level discrimination (AUC = 0.5).