Table 5.
Partial correlation analysis between small world DKI networks and cognitive performances in AD patients
| KT | DT | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| FN | Length | MK | KFA | AK | RK | MD | FA | Ad | RD | ||
| Lp | MMSE | 0.01 | -0.18 | 0.33* | 0.20 | 0.50 | 0.46 | -0.06 | 0.06 | -0.04 | -0.07 |
| MOCA | 0.20 | -0.09 | 0.25 | -0.07 | 0.58* | 0.41 | -0.13 | -0.09 | -0.07 | -0.03 | |
| Cp | MMSE | 0.16 | -0.75 | -0.11 | 0.11 | -0.03 | -0.08 | 0.37 | 0.20 | -0.14 | 0.11 |
| MOCA | 0.11 | -0.70 | -0.06 | 0.20 | -0.03* | -0.12 | 0.40 | 0.21 | -0.16 | 0.13 | |
| λ | MMSE | -0.42 | 0.77 | -0.28 | -0.43 | 0.22 | 0.48* | 0.08 | -0.06* | -0.40 | 0.24 |
| MOCA | -0.43 | 0.70* | -0.25 | 0.30 | 0.29 | 0.41* | 0.09* | -0.15 | -0.53 | 0.27 | |
| γ | MMSE | 0.43* | -0.76 | 0.19* | 0.45* | -0.20 | -0.46 | -0.09 | 0.07 | 0.41 | -0.26 |
| MOCA | 0.45* | -0.70 | 0.36 | -0.08 | -0.27 | -0.39 | -0.10 | 0.19 | 0.55 | -0.29 | |
| σ | MMSE | -0.44* | 0.73 | -0.19* | -0.45* | 0.21 | 0.46 | 0.09 | -0.07 | -0.42 | 0.26 |
| MOCA | -0.45* | 0.65 | -0.30* | 0.08* | 0.27 | 0.38 | 0.10 | -0.19 | -0.56 | 0.29 | |
| Eloc | MMSE | 0.22* | 0.58 | 0.20* | 0.21* | -0.11* | -0.07 | -0.30 | -0.03 | -0.08 | -0.02 |
| MOCA | 0.21* | 0.62 | 0.16 | -0.33 | 0.19* | 0.08 | -0.30 | -0.02 | -0.17 | 0.06* | |
| Eg | MMSE | 0.02 | -0.37* | 0.37 | 0.11 | 0.50* | 0.47 | -0.11 | 0.07 | -0.03 | -0.08 |
| MOCA | 0.11 | -0.35* | 0.31 | 0.20 | 0.58* | 0.42 | -0.18 | -0.07 | -0.06 | -0.05 | |
The partial correlations were computed with age and gender as the confounding covariates. *p < 0.05, corrected. γ value was calculated by Cp/mean(Cprand), λ value was calculated by Lp/mean(Lprand). The small-worldness value of σ was presented by γ/λ. Note there are more KT metrics exhibiting significant correlations to cognitive performances than DT metrics