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Using the Partial Directed Coherence to Understand Brain Functional Connectivity During Movement Imagery Tasks

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Brain Informatics (BI 2018)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 11309))

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Abstract

We propose to use the partial directed coherence (PDC) to analyze the coupling between pairs of electroencephalographic (EEG) measurements during movement imagery tasks, as well as the directionality of such coupling. For this, we consider the multivariate autoregressive model of the signals from a selection of eleven EEG channels that are assumed as a fully-connected measurement network. Then, we aim to find differences in connectivity patterns between motor imagery and resting state that arise in a brain-computer interface (BCI) system with visual feedback that controls the movement of a robot. Our preliminary results show that it is possible to relate the changes in the magnitude of the PDC to different connectivity patterns in the measurement network we have considered, and those changes are in agreement with brain functional connectivity that has been reported in other studies based mainly in magnetic resonance imaging.

Supported by the Mexican Council for Science and Technology (Conacyt) through Grant 220145.

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Authors and Affiliations

  1. Center for Research and Advanced Studies at Monterrey, 66600, Apodaca, Mexico

    Myriam Alanis-Espinosa & David Gutiérrez

Authors
  1. Myriam Alanis-Espinosa
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  2. David Gutiérrez
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Corresponding authors

Correspondence to Myriam Alanis-Espinosa or David Gutiérrez .

Editor information

Editors and Affiliations

  1. University of Texas at Arlington, Arlington, TX, USA

    Shouyi Wang

  2. University of Southern California, West Hollywood, USA

    Vicky Yamamoto

  3. Department of Mathematics, University of Texas at Arlington, Arlington, TX, USA

    Jianzhong Su

  4. Maebashi Institute of Technology, Gunma, Japan

    Yang Yang

  5. The University of Texas at Arlington, Arlington, USA

    Erick Jones

  6. Louisiana Tech University, Arlington, TX, USA

    Leon Iasemidis

  7. Carnegie Mellon University, Pittsburgh, PA, USA

    Tom Mitchell

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Alanis-Espinosa, M., Gutiérrez, D. (2018). Using the Partial Directed Coherence to Understand Brain Functional Connectivity During Movement Imagery Tasks. In: Wang, S., et al. Brain Informatics. BI 2018. Lecture Notes in Computer Science(), vol 11309. Springer, Cham. https://doi.org/10.1007/978-3-030-05587-5_12

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  • DOI: https://doi.org/10.1007/978-3-030-05587-5_12

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-05586-8

  • Online ISBN: 978-3-030-05587-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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