Table 3.
Test–retest estimates of network metrics derived from resting-state functional MRI (fine parcellation)
Metric | Mean (Std) | Pearson | Repeatability coefficient | ICC (95% CI) | RMS CoV | 95% CL change (%) |
---|---|---|---|---|---|---|
Degree | 441.8 (120.1) | 0.93 | 90.62 | 0.93 (0.85–0.97) | 0.05 | 14.0 |
Strength | 165.2 (109.0) | 0.96 | 62.90 | 0.96 (0.91–0.98) | 0.10 | 17.3 |
Density | 0.7 (0.16) | 0.90 | 0.14 | 0.9 (0.79–0.95) | 0.05 | 14.0 |
CPL | 3.61 (1.04) | 0.94 | 0.73 | 0.94 (0.87–0.97) | 0.05 | 14.5 |
CPL (norm) | 1.18 (0.08) | 0.88 | 0.08 | 0.88 (0.75–0.94) | 0.02 | 4.5 |
Efficiency | 0.34 (0.14) | 0.96 | 0.08 | 0.96 (0.91–0.98) | 0.05 | 15.2 |
Efficiency (norm) | 0.88 (0.06) | 0.90 | 0.05 | 0.9 (0.79–0.95) | 0.01 | 4.0 |
Clustering coeff. | 0.27 (0.16) | 0.96 | 0.10 | 0.96 (0.91–0.98) | 0.09 | 15.0 |
Clustering coeff. (norm) | 1.05 (0.04) | 0.84 | 0.04 | 0.84 (0.68–0.93) | 0.01 | 2.8 |
Modularity | 0.14 (0.06) | 0.87 | 0.06 | 0.87 (0.73–0.94) | 0.12 | 13.0 |
Modularity (norm) | 6.41 (1.54) | 0.76 | 2.18 | 0.74 (0.51–0.88) | 0.08 | 21.1 |
Small worldness | 0.1 (0.12) | 0.97 | 0.06 | 0.96 (0.92–0.98) | 0.14 | 18.3 |
Small worldness (norm) | 0.89 (0.04) | 0.88 | 0.04 | 0.88 (0.75–0.94) | 0.01 | 3.3 |
CI, confidence interval; CL, confidence limit; coeff., coefficient; CPL, characteristic path length; ICC, intraclass correlation coefficient; norm, normalized; Pearson, Pearson correlation coefficient; RMS CoV, root-mean-square coefficient of variation; Std, standard deviation.
Data presented here reflect connection matrices thresholded only by p-value (0.05 corrected).