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Evaluation of Functional Network Connectivity in Event-related FMRI Data Based on ICA and Time-frequency Granger Causality

  • M. Havlicek
  • J. Jan
  • V. D. Calhoun
  • M. Brazdil
  • M. Mikl
Part of the IFMBE Proceedings book series (IFMBE, volume 25/4)

Abstract

In this article we show that Adaptive Multivariate Autoregressive (AMVAR) modeling accompanied by proper preprocessing is an effective technique for evaluation of spectral Granger causality among functional brain networks identified by independent component analysis from eventrelated fMRI data.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • M. Havlicek
    • 1
    • 2
  • J. Jan
    • 1
  • V. D. Calhoun
    • 2
    • 3
  • M. Brazdil
    • 4
  • M. Mikl
    • 4
    • 1
  1. 1.Department of Biomedical EngineeringBrno University of TechnologyBrnoCzech Republic
  2. 2.The Mind Research Network, AlbuquerqueNew MexicoUSA
  3. 3.Department of Electrical and Computer EngineeringUniversity of New MexicoUSA
  4. 4.First Department of NeurologySt. Anne’s University HospitalBrnoCzech Republic

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