Phase-based Edge Coupling: Modeling Overlapping Functional Architectures and High-Order Edge-to-Edge Interactions in EEG Networks

Researchers developed the Phase-based Edge-centric Coupling (PEC) algorithm to address the limitations of traditional node-centric brain network models. PEC shifts the analytical focus to edges, deriving time series from instantaneous phase differences of EEG signals.