Test-Retest Reliability of Graph Metrics in Functional Brain Networks: A Resting-State fNIRS Study
Figure 10
Threshold-independent reliability analysis of ICA- derived global network metrics.
The areas under the curves (AUCs) of each global metric were used to provide threshold-independent reliability evaluation. (A–C) The global metric reliability was derived from HbO, HbR, and HbT, respectively. Cp, Lp, γ, λ, and σ denote the clustering coefficient, characteristic path length, normalized clustering coefficient, normalized characteristic path length, and small-world, respectively. Eloc and Eglob denote local efficiency and global efficiency, respectively. Q, β, and r denote modularity, hierarchy, and assortativity, respectively.