Table 8.
The top 10 features for each kind of network properties selected by the nested CV procedure as the most discriminative for TS classification
| Global feature | Nodal feature | Edge feature | ||||||
|---|---|---|---|---|---|---|---|---|
| Property | Counts | Freq (%) | Region | Counts | Freq (%) | Connection | Counts | Freq (%) |
| λ (T = 0.09)* | 198 | 99.0 | IOG.R* | 194 | 97.0 | ORBinf.R‐PreCG.R | 200 | 100.0 |
| C p (T = 0.045)* | 190 | 95.0 | PUT.R | 188 | 94.0 | IFGtriang.R‐MFG.R | 200 | 100.0 |
| σ (T = 0.0575)* | 190 | 95.0 | HIP.L* | 175 | 87.5 | PCG.L‐INS.L | 197 | 98.5 |
| E glob (T = 0.085)* | 156 | 78.0 | IFGtriang.L* | 150 | 75.0 | CUN.R‐SOG.R* | 192 | 96.0 |
| σ (T = 0.075)* | 155 | 77.5 | SPG.L* | 123 | 61.5 | CUN.R‐DCG.R | 190 | 95.0 |
| C p (T = 0.0425)* | 154 | 77.0 | IOG.L* | 118 | 59.0 | DCG.R‐PCG.R | 189 | 94.5 |
| λ (T = 0.095)* | 136 | 68.0 | FFG.L* | 108 | 54.0 | CAL.L‐OLF.R | 188 | 94.0 |
| E loc (T = 0.045)* | 130 | 65.0 | AMYG.R | 107 | 53.5 | MOG.L‐SPG.L* | 185 | 92.5 |
| γ (T = 0.095)* | 130 | 65.0 | IFGoperc.L* | 102 | 51.0 | SOG.R‐ORBsupmed.L | 185 | 92.5 |
| E loc (T = 0.04)* | 128 | 64.0 | SPG.R* | 85 | 42.5 | SOG.R‐MOG.R* | 184 | 92.0 |
Counts: the counts of each feature selected by our proposed method over the 20 rounds nested 10‐fold CV. Freq: the frequency of being selected equals counts/total times in 20 rounds nested 10‐fold CV (200 times). *Feature marked with a star (*) indicates that it was significantly altered in between‐groups statistical comparison.