Depression Disorder Classification of fMRI Data Using Sparse Low-Rank Functional Brain Network and Graph-Based Features

Table 1

Classification performance of our method (sparse low-rank FBN).

Feature	NSF	Accuracy (%)	Sensitivity (%)	Specificity (%)
CC	8	83.33	80.65	86.21
LE	46	85.00	87.10	82.76
CPL	—	60.00	70.97	48.28
GE	—	60.00	70.97	48.28
D	22	83.33	80.65	86.21
BC	22	85.00	80.65	89.66
PC	20	83.33	83.87	82.76
AND	18	91.67	90.32
Eight features	12

NSF: number of selected features; CC: clustering coefficient; LE: local efficiency; CPL: characteristic path length; GE: global efficiency; D: degree; BC: betweenness centrality; PC: participation coefficient; and AND: average neighbor degree.