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Resting-State Temporal Synchronization Networks Emerge from Connectivity Topology and Heterogeneity

Fig 1

Temporal dynamics of phase interactions.

a) Example narrowband signals from two different brain regions (rPARH and rFUS). b) Probability density function of the phase differences, Pr(Δφ), across all pairs of brain regions and all time steps. c) Temporal evolution of Pr(Δφ), for 3 example scanning sessions from different subjects. The color code indicates the values of Pr(Δφ) at each time step (see the color bar at the bottom).White trace: Time course of the order parameter R(t) (right y-axis). d) Probability density function of the order parameter values for all sessions (black) compared to phase-randomized surrogates (red) and broadband signals (brown). e) Power spectrum of the order parameter. Gray traces: single scanning sessions; black trace: mean across all sessions. f) Comparison of the averaged power spectrum of the order parameter for narrowband (black) and broadband signals (brown). Power spectra were normalized by the corresponding maximum value.

Fig 1

doi: https://doi.org/10.1371/journal.pcbi.1004100.g001