Table 3.
Classification results for different functional connectivity networks.
| Method | Research | Disease | Accuracy (%) | Specificity (%) | Sensitivity (%) |
|---|---|---|---|---|---|
| PAN | Guo et al., 2012 | MDD | 83.00 | – | – |
| Rosa et al., 2015 | MDD | 48.33 | 53.33 | 43.33 | |
| Wee et al., 2016 | eMCI | 62.71 | 60.00 | 65.52 | |
| This study | AD | 63.06 | 50.56 | 87.37 | |
| PEN | Yu et al., 2013 | MDD | 84.20 | – | – |
| Chen et al., 2011 | AD | 82.00 | 80.00 | 85.00 | |
| Wee et al., 2016 | eMCI | 66.10 | 76.67 | 55.17 | |
| This study | AD | 66.67 | 46.43 | 81.58 | |
| HON | Chen et al., 2016 | eMCI | 88.14 | 90.00 | 86.21 |
| This study | AD | 92.51 | 88.51 | 93.19 | |
| HON-MST | This study | AD | 98.16 | 96.68 | 98.92 |
AD, Alzheimer's disease; eMCI, early mild cognitive impairment; MDD, Major Depressive Disorder; PAN, partial correlation functional connectivity network. PEN, pearson correlation functional connectivity network. HON, high-order functional connectivity network. HON-MST, minimum spanning tree high-order functional connectivity network.