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European Medical and Biological Engineering Conference

EMBEC 2020: 8th European Medical and Biological Engineering Conference pp 1019–1027Cite as

Simultaneous Skull Conductivity and Focal Source Imaging from EEG Recordings with the Help of Bayesian Uncertainty Modelling

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Part of the book series: IFMBE Proceedings ((IFMBE,volume 80))

Abstract

The electroencephalography (EEG) source imaging problem is very sensitive to the electrical modelling of the skull of the patient under examination. Unfortunately, the currently available EEG devices and their embedded software do not take this into account; instead, it is common to use a literature-based skull conductivity parameter. In this paper, we propose a statistical method based on the Bayesian approximation error approach to compensate for source imaging errors due to the unknown skull conductivity and, simultaneously, to compute a low-order estimate for the actual skull conductivity value. By using simulated EEG data that corresponds to focal source activity, we demonstrate the potential of the method to reconstruct the underlying focal sources and low-order errors induced by the unknown skull conductivity. Subsequently, the estimated errors are used to approximate the skull conductivity. The results indicate clear improvements in the source localization accuracy and feasible skull conductivity estimates.

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Acknowledgements

This project has received funding from the ATTRACT project funded by the EC under Grant Agreement 777222 and from the Academy of Finland post-doctoral program (project no. 316542).

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Authors and Affiliations

  1. Faculty of Information Technology and Communication Sciences, Tampere University, Tampere, Finland

    Alexandra Koulouri

  2. Department of Physics, University of Bath, Bath, UK

    Ville Rimpiläinen

Authors
  1. Alexandra Koulouri
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  2. Ville Rimpiläinen
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Corresponding author

Correspondence to Alexandra Koulouri .

Editor information

Editors and Affiliations

  1. Faculty of Electrical Engineering, University of Ljubljana, Ljubljana, Slovenia

    Tomaz Jarm

  2. Faculty of Electrical Engineering, University of Ljubljana, Ljubljana, Slovenia

    Aleksandra Cvetkoska

  3. Faculty of Electrical Engineering, University of Ljubljana, Ljubljana, Slovenia

    Samo Mahnič-Kalamiza

  4. Faculty of Electrical Engineering, University of Ljubljana, Ljubljana, Slovenia

    Damijan Miklavcic

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Koulouri, A., Rimpiläinen, V. (2021). Simultaneous Skull Conductivity and Focal Source Imaging from EEG Recordings with the Help of Bayesian Uncertainty Modelling. In: Jarm, T., Cvetkoska, A., Mahnič-Kalamiza, S., Miklavcic, D. (eds) 8th European Medical and Biological Engineering Conference. EMBEC 2020. IFMBE Proceedings, vol 80. Springer, Cham. https://doi.org/10.1007/978-3-030-64610-3_114

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  • DOI: https://doi.org/10.1007/978-3-030-64610-3_114

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-64609-7

  • Online ISBN: 978-3-030-64610-3

  • eBook Packages: EngineeringEngineering (R0)

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