Phase transfer entropy: A novel phase-based measure for directed connectivity in networks coupled by oscillatory interactions

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A Tutorial Review of Functional Connectivity Analysis Methods and Their Interpretational Pitfalls (2016, background): “In addition, transfer entropy has also been extended to specifically measure directed interactions between ongoing phase estimates of separate signals, which is useful to study non-linear oscillatory synchronization (Lobier et al., 2014).”
Communication dynamics in complex brain networks (2017, methodology): “Alternative statistical methods used to infer the directionality of information flow, such as Granger causality 71 , transfer entropy 72,73 and others 74 , show that dominant patterns of information flow are associated with specific frequencies in neuro physiological recordings 75,76 .”
Intracranial EEG signals disentangle multi-areal neural dynamics of vicarious pain perception (2024, methodology): “The signals were then band-pass ﬁ ltered between 1 and 250Hz and band-stop ﬁ ltered between 47 – 53, 97 – 103, 147 – 153, and 197 – 203Hz 77 to remove power-line noise (i.e., 50 Hz and its harmonics frequencies) using a zero-phase Butterworth ﬁ lter with Hamming window.”