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

doi:10.1016/j.jneumeth.2010.12.019

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 journal › Article › peer-review

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 language	English
Pages (from-to)	182-189
Number of pages	8
Journal	Journal of Neuroscience Methods
Volume	196
Issue number	1
DOIs	https://doi.org/10.1016/j.jneumeth.2010.12.019
Publication status	Published - 15 Mar 2011

Keywords

essential tremor
direction of information flow
maximum coherence
partial directed coherence

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/j.jneumeth.2010.12.019

Cite this

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title = "On the estimation of the direction of information flow in networks of dynamical systems",

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.",

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AU - Sommerlade, Linda

AU - Amtage, Florian

AU - Lapp, Olga

AU - Hellwig, Bernhard

AU - Luecking, Carl Hermann

AU - Timmer, Jens

AU - Schelter, Bjoern

PY - 2011/3/15

Y1 - 2011/3/15

N2 - 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.

AB - 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.

KW - essential tremor

KW - direction of information flow

KW - maximum coherence

KW - partial directed coherence

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DO - 10.1016/j.jneumeth.2010.12.019

M3 - Article

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VL - 196

SP - 182

EP - 189

JO - Journal of Neuroscience Methods

JF - Journal of Neuroscience Methods

IS - 1

ER -

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

Abstract

Keywords

UN SDGs

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