Order Patterns Networks (ORPAN)—a method to estimate time-evolving functional connectivity from multivariate time series

Stefan Schinkel, Gorka Zamora-López, Olaf Dimigen, Werner Sommer, Jürgen Kurths
2012 Frontiers in Computational Neuroscience  
Complex networks provide an excellent framework for studying the function of the human brain activity. Yet estimating functional networks from measured signals is not trivial, especially if the data is non-stationary and noisy as it is often the case with physiological recordings. In this article we propose a method that uses the local rank structure of the data to define functional links in terms of identical rank structures. The method yields temporal sequences of networks which permits to
more » ... ce the evolution of the functional connectivity during the time course of the observation. We demonstrate the potentials of this approach with model data as well as with experimental data from an electrophysiological study on language processing.
doi:10.3389/fncom.2012.00091 pmid:23162459 pmcid:PMC3491427 fatcat:d5kidka35rhujkkwpmbo4oe7da