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Robustly estimating the flow direction of information in complex physical systems.

Guido Nolte, Andreas Ziehe, Vadim V Nikulin, Alois Schlögl, Nicole Krämer, Tom Brismar, Klaus-Robert Müller

Fraunhofer FIRST IDA, Berlin, Germany.

Journal Article: Physical Review Letters (impact factor: 7.33). 06/2008; 100(23):234101.

Abstract

We propose a new measure (phase-slope index) to estimate the direction of information flux in multivariate time series. This measure (a) is insensitive to mixtures of independent sources, (b) gives meaningful results even if the phase spectrum is not linear, and (c) properly weights contributions from different frequencies. These properties are shown in extended simulations and contrasted to Granger causality which yields highly significant false detections for mixtures of independent sources. An application to electroencephalography data (eyes-closed condition) reveals a clear front-to-back information flow.

Source: PubMed

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Keywords

clear front-to-back information flow
 
different frequencies
 
electroencephalography data
 
eyes-closed condition
 
independent sources
 
meaningful results
 
phase-slope index
 
yields