On the estimation of the direction of information flow in networks of dynamical systems

Linda Sommerlade, Florian Amtage, Olga Lapp, Bernhard Hellwig, Carl Hermann Luecking, Jens Timmer, Bjoern Schelter

Research output: Contribution to journalArticle

6 Citations (Scopus)

Abstract

The inference of the interaction structure in networks of dynamical systems promises novel insights into the functioning or malfunctioning of systems in the neurosciences. This may improve the understanding of mechanisms underlying several diseases like tremor disorders and might eventually help to cure patients. Of particular interest is the estimation of the direction of information flow for which different methods have been suggested and have been applied to data from human tremor. Based on a simulated system motivated by the human tremor application we analyze the performance of three methods. The abilities and limitations of the individual techniques are compared and discussed. An application to essential tremor complements this investigation. (C) 2011 Elsevier B.V. All rights reserved.

Original languageEnglish
Pages (from-to)182-189
Number of pages8
JournalJournal of Neuroscience Methods
Volume196
Issue number1
DOIs
Publication statusPublished - 15 Mar 2011

Keywords

  • essential tremor
  • direction of information flow
  • maximum coherence
  • partial directed coherence

Cite this

On the estimation of the direction of information flow in networks of dynamical systems. / Sommerlade, Linda; Amtage, Florian; Lapp, Olga; Hellwig, Bernhard; Luecking, Carl Hermann; Timmer, Jens; Schelter, Bjoern.

In: Journal of Neuroscience Methods, Vol. 196, No. 1, 15.03.2011, p. 182-189.

Research output: Contribution to journalArticle

Sommerlade, Linda ; Amtage, Florian ; Lapp, Olga ; Hellwig, Bernhard ; Luecking, Carl Hermann ; Timmer, Jens ; Schelter, Bjoern. / On the estimation of the direction of information flow in networks of dynamical systems. In: Journal of Neuroscience Methods. 2011 ; Vol. 196, No. 1. pp. 182-189.
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