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

Alexandra Koulouri, Ville Rimpiläinen

Research output: Chapter or section in a book/report/conference proceedingChapter in a published conference proceeding

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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.

Original languageEnglish
Title of host publication8th European Medical and Biological Engineering Conference - Proceedings of the EMBEC 2020
EditorsTomaz Jarm, Aleksandra Cvetkoska, Samo Mahnič-Kalamiza, Damijan Miklavcic
PublisherSpringer Science and Business Media Deutschland GmbH
Pages1019-1027
Number of pages9
ISBN (Print)9783030646097
DOIs
Publication statusPublished - 1 Jan 2021
Externally publishedYes
Event8th European Medical and Biological Engineering Conference, EMBEC 2020 - Portorož, Slovenia
Duration: 29 Nov 20203 Dec 2020

Publication series

NameIFMBE Proceedings
Volume80
ISSN (Print)1680-0737
ISSN (Electronic)1433-9277

Conference

Conference8th European Medical and Biological Engineering Conference, EMBEC 2020
Country/TerritorySlovenia
CityPortorož
Period29/11/203/12/20

Bibliographical note

Publisher Copyright:
© 2021, Springer Nature Switzerland AG.

Keywords

  • Bayesian modelling
  • Electroencephalography
  • Inverse problem
  • Skull conductivity
  • Source imaging

ASJC Scopus subject areas

  • Bioengineering
  • Biomedical Engineering

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