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Time-Varying Effective Connectivity for Investigating the Neurophysiological Basis of Cognitive Processes

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Modern Electroencephalographic Assessment Techniques

Part of the book series: Neuromethods ((NM,volume 91))

Abstract

This chapter describes the methodological advancements developed during the last 20 years in the field of effective connectivity based on Granger causality and linear autoregressive modeling. At first we introduce the concept of Granger causality and its application to the connectivity field. Then, a detailed description of both stationary and time-varying versions of Partial Directed Coherence (PDC) estimator for effective connectivity will be given. The General Linear Kalman Filter (GLKF) approach is described an algorithm, recently introduced for estimating the temporal evolution of the parameters of adaptive multivariate model, able to overcome the limits of existing time-varying approaches. Then a detailed description of the graph theory approach and of possible indexes which could be defined is given. At the end, the potentiality of the described methodologies is demonstrated in an application aiming at investigating the neurophysiological basis of motor imagery processes.

“Learn from yesterday, live for today, hope for tomorrow. The important thing is to not stop questioning. Curiosity has its own reason for existing.”

Albert Einstein

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Acknowledgments

This work was partly supported by the European ICT Program FP7-ICT-2009-4 Grant Agreement 287320 CONTRAST and by the grant provided by the Minister of Foreign Affair, “Direzione Generale Sistema Paese”.

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Authors and Affiliations

  1. Department of Computer, Control, and Management Engineering Antonio Ruberti, Sapienza University, V. Ariosto 25, 00185, Rome, Italy

    Jlenia Toppi Ph.D., Manuela Petti & Laura Astolfi

  2. Neuroelectrical Imaging and BCI Lab, IRCCS Fondazione Santa Lucia, Rome, Italy

    Jlenia Toppi Ph.D., Manuela Petti, Donatella Mattia & Laura Astolfi

  3. Department of Physiology and Pharmacology, Sapienza University, Rome, Italy

    Fabio Babiloni

Authors
  1. Jlenia Toppi Ph.D.
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  2. Manuela Petti
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  3. Donatella Mattia
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  4. Fabio Babiloni
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  5. Laura Astolfi
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Corresponding author

Correspondence to Jlenia Toppi Ph.D. .

Editor information

Editors and Affiliations

  1. Foundation for Research and Technology, Heraklion, Crete, Greece

    Vangelis Sakkalis

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Toppi, J., Petti, M., Mattia, D., Babiloni, F., Astolfi, L. (2014). Time-Varying Effective Connectivity for Investigating the Neurophysiological Basis of Cognitive Processes. In: Sakkalis, V. (eds) Modern Electroencephalographic Assessment Techniques. Neuromethods, vol 91. Humana Press, New York, NY. https://doi.org/10.1007/7657_2014_69

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  • DOI: https://doi.org/10.1007/7657_2014_69

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  • Publisher Name: Humana Press, New York, NY

  • Print ISBN: 978-1-4939-1297-1

  • Online ISBN: 978-1-4939-1298-8

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