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. 2018 Sep;178:238–254. doi: 10.1016/j.neuroimage.2018.04.070

Table 2.

Kolmogorov-Smirnov (KS) distance between WSS and BSS distributions. Comparison of the connectivity measures (corrFC, FC0, FC1) and model estimates (EC, Σ). The third column corresponds to the distance between the blue and red distributions in Fig 2B, and the fourth column to the blue and green distributions.

Measure Description Dataset A1 Dataset A1 & A2
EC EC weights estimated with the model 0.6440 0.6581
corrFC FC computed as Pearson correlation 0.4517 0.5477
FC0 FC computed as 0-lag covariance matrix 0.3685 0.4888
FC1 FC computed as 1-lag covariance matrix 0.4139 0.5118
corrFC/SC FC as Pearson correlation and masked with SC 0.4769 0.5729
FC0/SC FC as 0-lag covariance matrix and masked with SC 0.3770 0.4644
Σ Local variability for each ROI estimated with the model 0.3778 0.3287