2014/09/15 by Stephan Porz, Matthäus Kiel, Klaus Lehnertz · 1 citation
Biochemistry, Genetics and Molecular Biology · Physics and Astronomy · #q-bio.NC #nlin.CD #physics.data-an
paper · pdf · doi:10.1063/1.4890568
published as Porz S, Kiel M, Lehnertz K, Chaos 24, 033112 (2014)
arxiv created 2014/09/15 · arxiv updated 2014/09/16
We investigate the relative merit of phase-based methods---mean phase coherence, unweighted and weighted phase lag index---for estimating the strength of interactions between dynamical systems from empirical time series which are affected by common sources and noise. By numerically analyzing the interaction dynamics of coupled model systems, we compare these methods to each other with respect to their ability to distinguish between different levels of coupling for various simulated experimental situations. We complement our numerical studies by investigating consistency and temporal variations of the strength of interactions within and between brain regions using intracranial electroencephalographic recordings from an epilepsy patient. Our findings indicate that the unweighted and weighted phase lag index are less prone to the influence of common sources but that this advantage may lead to constrictions limiting the applicability of these methods.