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Dynamics on networks: assessing functional connectivity with Granger causality

Author

Listed:
  • Yonghong Chen

    (University of Florida)

  • Steven L. Bressler

    (Florida Atlantic University)

  • Mingzhou Ding

    (University of Florida)

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.

Suggested Citation

  • Yonghong Chen & Steven L. Bressler & Mingzhou Ding, 2009. "Dynamics on networks: assessing functional connectivity with Granger causality," Computational and Mathematical Organization Theory, Springer, vol. 15(4), pages 329-350, December.
    • Handle: RePEc:spr:comaot:v:15:y:2009:i:4:d:10.1007_s10588-008-9039-x
    DOI: 10.1007/s10588-008-9039-x
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    References listed on IDEAS

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    1. Gourieroux,Christian & Monfort,Alain, 1997. "Time Series and Dynamic Models," Cambridge Books, Cambridge University Press, number 9780521423083, January.
    2. Granger, C W J, 1969. "Investigating Causal Relations by Econometric Models and Cross-Spectral Methods," Econometrica, Econometric Society, vol. 37(3), pages 424-438, July.
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    Cited by:

    1. Yu Zhang & Yu Wu, 2012. "How behaviors spread in dynamic social networks," Computational and Mathematical Organization Theory, Springer, vol. 18(4), pages 419-444, December.

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