Skip to main content
. 2015 Apr 16;36(7):2756–2766. doi: 10.1002/hbm.22805

Table 2.

ROI‐based analyses of imaging parameters for differentiating patients and healthy controls

ALFF FCD ALFF‐FCD
LmTLE versus HC Comparison t = 6.72; P < 0.001 t = −4.93; P < 0.001 t = 10.61; P < 0.001
Differentiating Se = 0.69, Sp = 0.96; Ac = 0.82 (CO = 0.447) Se = 0.65, Sp = 0.46; Ac = 0.78 (CO = 0.463) Se = 0.94, Sp = 0.96; Ac = 0.95 (CO = 0.029)
RmTLE versus HC Comparison t = 6.27; P < 0.001 t = −4.29; P < 0.001 t = 8.67; P < 0.001
Differentiating Se = 0.67, Sp = 0.94; Ac = 0.80 (CO = 0.421) Se = 0.59, Sp = 0.90; Ac = 0.75 (CO = 0.477) Se = 0.94, Sp = 0.90; Ac = 0.92 (CO = 0.032)

R mTLE: right‐sided mesial temporal lobe epilepsy, HC: Healthy controls; ALFF: amplitude of low‐frequency fluctuation, FCD: functional connectivity density. Se: sensitivity, Sp: specificity, Ac: Accuracy, defined by averaged scores of sensitivity and specificity, CO= cutoff point. Comparing analyses were performed using two‐sample t‐test, and differential analyses were performed by selecting a cutoff point, which providing the optimal sensitivity and specificity in distinguishing patients from HCs.