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DySCo: A general framework for dynamic functional connectivity

Fig 5

Illustration of different dynamic matrices.

A: i) We selected two random signals from an example participant and plotted the timecourse of all the measures of the DySCo framework: ii) sliding window correlation, with window sizes ranging from 5 to 50; iii) sliding window covariance, with window sizes ranging from 5 to 50; iv) co-fluctuation; v) instantaneous Phase Alignment. B: i) The average (across different couples of signals, across subjects) correlation in time between instantaneous Phase Alignment and sliding window correlation as a function of the window size. ii) The average (across different couples of signals, across subjects) correlation in time between co-fluctuation and sliding window covariance as a function of the window size.

Fig 5

doi: https://doi.org/10.1371/journal.pcbi.1012795.g005