Computational and Mathematical Organization Theory

, Volume 15, Issue 4, pp 329–350

Dynamics on networks: assessing functional connectivity with Granger causality

  • Yonghong Chen
  • Steven L. Bressler
  • Mingzhou Ding
Article

DOI: 10.1007/s10588-008-9039-x

Cite this article as:
Chen, Y., Bressler, S.L. & Ding, M. Comput Math Organ Theory (2009) 15: 329. doi:10.1007/s10588-008-9039-x
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Abstract

We consider the analysis of brain networks based on multi-electrode neural recordings. Granger causality and its spectral decomposition are used to assess the directions of dynamic interactions. The effectiveness of the method is illustrated by applying it to simulated data. Then multichannel local field potential recordings from monkeys performing a visuomotor pattern recognition task are analyzed to gain deeper understanding of the organization and functionality of large-scale oscillatory cortical networks.

Keywords

Multiple time seriesMultivariate autoregressive model (MVAR)CoherenceGranger causalityLocal field potentials (LFPs)

Copyright information

© Springer Science+Business Media, LLC 2008

Authors and Affiliations

  • Yonghong Chen
    • 1
  • Steven L. Bressler
    • 2
  • Mingzhou Ding
    • 1
  1. 1.Department of Biomedical EngineeringUniversity of FloridaGainesvilleUSA
  2. 2.Center for Complex Systems and Brain SciencesFlorida Atlantic UniversityBoca RatonUSA