Granger causality and information flow in multivariate processes

Phys Rev E Stat Nonlin Soft Matter Phys. 2004 Nov;70(5 Pt 1):050902. doi: 10.1103/PhysRevE.70.050902. Epub 2004 Nov 22.

Abstract

The multivariate versus bivariate measures of Granger causality were considered. Granger causality in the application to multivariate physiological time series has the meaning of the information flow between channels. It was shown by means of simulations and by the example of experimental electroencephalogram signals that bivariate estimates of directionality in case of mutually interdependent channels give erroneous results, therefore multivariate measures such as directed transfer function should be used for determination of the information flow.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Algorithms
  • Brain / physiopathology*
  • Brain Mapping / methods*
  • Causality*
  • Computer Simulation
  • Diagnosis, Computer-Assisted / methods
  • Electroencephalography / methods*
  • Humans
  • Information Storage and Retrieval / methods*
  • Models, Neurological*
  • Models, Statistical*
  • Multivariate Analysis
  • Nerve Net / physiology*
  • Statistics as Topic
  • Synaptic Transmission / physiology