Hierarchical bayesian models for EEG inversion: Depth localization and source separation for focal sources in realistic FE head models

Journal article


Publication Details

Author(s): Lucka F, Pursiainen S, Burger M, Wolters CH
Journal: Biomedizinische Technik
Publication year: 2011
Volume: 56
Pages range: 1-4
ISSN: 0013-5585


Abstract

The recovery of brain networks involving deeplying sources by means of EEG/MEG recordings is still a challenging task for any inverse method. Hierarchical Bayesian modeling (HBM) emerged as a unifying framework for current density reconstruction (CDR) approaches comprising most established methods as well as offering promising new methods. Our work examines the performance of HBM for source configurations consisting of few, focal sources when used with realistic, high resolution Finite Element (FE) head models. The main foci of interest are the right depth localization, a well known systematic error of many CDR methods, and the separation of single sources in multiplesource scenarios. Both aspects are very important in clinical applications, e.g., in presurgical epilepsy diagnosis. The results of our simulation studies show, that HBM is a promising framework for these tasks, which is able to improve upon established CDR methods in many aspects. For challenging multiplesource scenarios where the established methods show crucial errors, promising results are attained. In addition, we introduce Wasserstein distances as performance measures for the validation of inverse methods in complex source scenarios. © 2011 by Walter de Gruyter Berlin Boston.


External institutions with authors

Aalto University Espoo
Westfälische Wilhelms-Universität (WWU) Münster


How to cite

APA:
Lucka, F., Pursiainen, S., Burger, M., & Wolters, C.H. (2011). Hierarchical bayesian models for EEG inversion: Depth localization and source separation for focal sources in realistic FE head models. Biomedizinische Technik, 56, 1-4. https://dx.doi.org/10.1515/BMT.2011.817

MLA:
Lucka, F., et al. "Hierarchical bayesian models for EEG inversion: Depth localization and source separation for focal sources in realistic FE head models." Biomedizinische Technik 56 (2011): 1-4.

BibTeX: 

Last updated on 2018-03-12 at 14:38