Table 2.
The selective features for the SVM classifier.
| MCI versus HC |
AD versus HC |
||
|---|---|---|---|
| SWM Regions | Metrics | SWM Regions | Metrics |
| Occipital (L) | PageRank-network | Total | assortativity-network |
| Temporal (L) | rdi02L | Frontal (L) | efficiency-network |
| Insula (L) | Txy mean | Occipital (R) | betweenness-network |
| Occipital (L) | Txz mean | Frontal (R) | eigenvector-network |
| Limbic (R) | Tyz mean | Frontal (R) | PageRank-network |
| Occipital (R) | RD | Parietal (R) | PageRank-network |
| Limbic (R) | iso | Frontal (R) | eccentricity-network |
| Frontal (R) | rdi02L | Parietal(R) | efficiency-network |
| MCI versus AD | Insula (L) | Total-Connect | |
| SWM Regions | Metrics | Occipital-Limbic (L) | Connectivity |
| Total | Small-worldness-network | Temporal-Insula (L) | Connectivity |
| Frontal (R) | Cluster coefficient network | Limbic (L) | Txy mean |
| Occipital-Limbic (L) | Connectivity | Limbic (L) | Tyz mean |
| Parietal-Temporal (R) | Connectivity | Temporal (L) | RD |
| Insula (R) | Region-FA | Occipital (L) | rdi08L |
| Temporal (L) | Tyy mean | Parietal (R) | Tract length |
| Insula (R) | Tyz mean | Parietal (R) | Txx mean |
| Temporal (L) | Tzz mean | Insula (L) | Txy mean |
| Insula (L) | nQA | Limbic (L) | Txy mean |
| Parietal (L) | Tract length | Insula (L) | Tzz mean |
| Parietal (L) | Tract number | Occipital (L) | Tzz mean |
| Insula (R) | Tract-FA | Limbic (L) | AxD |
| Temporal (R) | Txx mean | Frontal (R) | RD |
| Occipital (L) | Txz mean | Insula (R) | iso |
| Insula (L) | Tyz mean | Limbic (L) | iso |
| Insula (L) | AxD | ||
| Occipital (L) | Tract length | ||
Note: FA: Fractional anisotropy; RD: Radial diffusivity; AD: Axial diffusivity; Txx, Txy, Txz, Tyy, Tyz, Tzz: The main values of the diffusion matrix; nQA: Normalized quantitative anisotropy; rdi: Restricted diffusion imaging; HC: Healthy control; MCI: mild cognitive impairment; AD: Alzheimer's disease; L: left; R: right.