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

  • Conference paper
World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany

Part of the book series: IFMBE Proceedings ((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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Author information

Authors and Affiliations

  1. Department of Biomedical Engineering, Brno University of Technology, Brno, Czech Republic

    M. Havlicek, J. Jan & M. Mikl

  2. The Mind Research Network, Albuquerque, New Mexico, USA

    M. Havlicek & V. D. Calhoun

  3. Department of Electrical and Computer Engineering, University of New Mexico, USA

    V. D. Calhoun

  4. First Department of Neurology, St. Anne’s University Hospital, Brno, Czech Republic

    M. Brazdil & M. Mikl

Authors
  1. M. Havlicek
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  2. J. Jan
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  3. V. D. Calhoun
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  4. M. Brazdil
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  5. M. Mikl
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Editor information

Editors and Affiliations

  1. Inst. Biomedizinische Technik, Univ. Karlsruhe, Kaiserstr. 12, 76128, Karlsruhe, Germany

    Olaf Dössel

  2. Abt. Medizinische Physik in der Strahlentherapie, Deutsche Krebsforschungszentrum (DKFZ), Im Neuenheimer Feld 280, 69120, Heidelberg, Germany

    Wolfgang C. Schlegel

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© 2009 Springer-Verlag Berlin Heidelberg

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Havlicek, M., Jan, J., Calhoun, V.D., Brazdil, M., Mikl, M. (2009). Evaluation of Functional Network Connectivity in Event-related FMRI Data Based on ICA and Time-frequency Granger Causality. In: Dössel, O., Schlegel, W.C. (eds) World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany. IFMBE Proceedings, vol 25/4. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03882-2_191

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  • DOI: https://doi.org/10.1007/978-3-642-03882-2_191

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-03881-5

  • Online ISBN: 978-3-642-03882-2

  • eBook Packages: EngineeringEngineering (R0)

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