BioMed Research International / 2014 / Article / Tab 3 / Research Article
Abnormal Functional Resting-State Networks in ADHD: Graph Theory and Pattern Recognition Analysis of fMRI Data Table 3 ADHD types classification: sensitivity, specificity, and score for each centrality descriptor. Note: the accuracy measures could not be obtained at the NeuroIMAGE site due to the small number of ADHD-combined subjects.
Inattentive ADHD versus Combined ADHD Descriptor Cut-off Peking Kennedy Krieger NeuroIMAGE New York OHSU All sites Spec Sens Score Spec Sens Score Spec Sens Score Spec Sens Score Spec Sens Score Spec Sens Score Unweighted graph Closeness 0.1 100% 0% 50% 100% 0% 50% — — — 100% 0% 50% 100% 0% 50% 0% 100% 50% 0.15 100% 0% 50% 100% 0% 50% — — — 100% 0% 50% 100% 0% 50% 100% 0% 50% 0.25 100% 0% 50% 100% 0% 50% — — — 100% 0% 50% 100% 0% 50% 100% 0% 50% Between 0.1 34% 69% 52% 94% 40% 67% — — — 63% 37% 50% 96% 42% 69% 62% 45% 54% 0.15 31% 71% 51% 94% 40% 67% — — — 58% 33% 45% 96% 50% 73% 58% 47% 53% 0.25 41% 69% 55% 88% 0% 44% — — — 63% 37% 50% 91% 42% 66% 64% 46% 55% Degree 0.1 45% 61% 53% 94% 40% 67% — — — 63% 35% 49% 87% 58% 73% 60% 49% 54% 0.15 28% 71% 50% 94% 20% 57% — — — 66% 33% 49% 78% 75% 77% 60% 55% 58% 0.25 34% 71% 53% 88% 20% 54% — — — 64% 42% 53% 74% 58% 66% 67% 55% 61% Weighted graph Closeness — 34% 71% 53% 100% 40% 70% — — — 63% 35% 49% 74% 33% 54% 60% 37% 49% Between — 28% 78% 53% 100% 0% 50% — — — 66% 37% 51% 74% 17% 45% 58% 46% 52% Degree — 31% 73% 52% 88% 20% 54% — — — 64% 37% 51% 78% 67% 72% 59% 51% 55% EVC — 34% 71% 53% 69% 0% 34% — — — 66% 37% 51% 87% 58% 73% 65% 46% 56% Burt — 100% 0% 50% 100% 0% 50% — — — 100% 0% 50% 100% 0% 50% 100% 0% 50%