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Fig. 1 | Behavioral and Brain Functions

Fig. 1

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

Fig. 1

The skewed inverted-U shapes of the mMSE vectors for each channel set. The X-axis represents time scales (for details see Introduction Section) and the Y-axis represents the average of the mMSE values across the participants. Error bars represent the confidence intervals (95% CI). A shows the profile in the whole sample (F(1.259, 117.07) = 286.219, p < 0.001, η2p = 0.755). The red box represents the time scales at which women showed higher resting-state EEG signal complexity than men (“W > M”) whereas the blue box includes the scales with larger complexity values in men compared to women (“W < M”). B shows a complexity profile for males, and C for females. Error bars represent the confidence intervals (95% CI). mMSE vectors were calculated using the following parameters for all channel sets: m = 2, r = 0.15, p = 4, ε = 12, where m is the embedding coefficient, r is the similarity threshold, p is the number of channels in a given channel set, and ε is the time scale factor. The time delay τk was set to 1 for k = 1,2,…,p. DMN- default mode network, DAN-dorsal attention network, FPN-frontoparietal network, LN-limbic network, SMN-somatomotor network, VAN-ventral attention network, VN-visual network

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