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Table 1 The internal consistency determined using the Cronbach's alpha coefficients calculated for first three segments of resting-state EEG signal, separately for each mMSE feature (AUC, MaxSlope, AvgEnt, DiffEnt) and the channel sets corresponding to seven resting-state networks.

From: Multivariate multiscale entropy (mMSE) as a tool for understanding the resting-state EEG signal dynamics: the spatial distribution and sex/gender-related differences

Network

AUC

MaxSlope

AvgEnt

DiffEnt

DMN

0.855

0.896

0.912

0.971

DAN

0.917

0.840

0.923

0.950

FPN

0.890

0.903

0.923

0.973

LN

0.893

0.915

0.916

0.971

SMN

0.893

0.858

0.928

0.962

VAN

0.909

0.886

0.925

0.968

VN

0.914

0.890

0.907

0.961

  1. DMN default mode network, DAN dorsal attention network, FPN frontoparietal network, LN limbic network, SMN somatomotor network, VAN ventral attention network, VN visual network