Applications of causal techniques to neural time series have increased extensively over last decades, including a wide and diverse family of methods focusing on electroencephalogram (EEG) analysis. Besides connectivity inferred in defined frequency bands, there is a growing interest in the analysis of cross-frequency interactions, in particular phase and amplitude coupling and directionality. Some studies show contradicting results of coupling directionality from high frequency to low frequency signal components, in spite of generally considered modulation of a high-frequency amplitude by a low-frequency phase. We have compared two widely used methods to estimate the directionality in cross frequency coupling: conditional mutual information (CMI) and phase slope index (PSI). The latter, applied to infer cross-frequency phase-amplitude directionality from animal intracranial recordings, gives opposite results when comparing to CMI. Both metrics were tested in a numerically simulated example of unidirectionally coupled Rössler systems, which helped to find the explanation of the contradictory results: PSI correctly estimates the lead/lag relationship which, however, is not generally equivalent to causality in the sense of directionality of coupling in nonlinear systems, correctly inferred by using CMI with surrogate data testing.

Department of Complex Systems Institute of Computer Science of the Czech Academy of Sciences Pod Vodárenskou věží 2 Prague 18200 Czech Republic

Department of Complex Systems Institute of Computer Science of the Czech Academy of Sciences Pod Vodárenskou věží 2 Prague 18200 Czech Republic; Department of Archaeology and Heritage Studies School of Culture and Society Aarhus University Jens Chr Skous Vej 7 Building 1467 Aarhus 8000 Denmark; Department of Archaeology Simon Fraser University Education Building 9635 8888 University Drive Burnaby V5A 1S6 B C Canada

Institut de Neurosciences des Systèmes Aix Marseille Univ INSERM INS Inst Neurosci Syst 27 Bd Jean Moulin Marseille 13005 France

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