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. 2017 Jun 6;90(1074):20160656. doi: 10.1259/bjr.20160656

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).