Comparison study for whitney (Raviart-Thomas)-type source models in finite-element-method-based EEG forward modeling

Tutkimustuotos: Lehtiartikkelivertaisarvioitu

Tutkijat

  • Martin Bauer
  • Sampsa Pursiainen
  • Johannes Vorwerk
  • Harald Kostler
  • Carsten H. Wolters

Organisaatiot

  • Friedrich-Alexander University Erlangen-Nürnberg
  • Tampere University of Technology
  • University of Münster

Kuvaus

This study concentrates on finite-element-method (FEM)-based electroencephalography (EEG) forward simulation in which the electric potential evoked by neural activity in the brain is to be calculated at the surface of the head. The main advantage of the FEM is that it allows realistic modeling of tissue conductivity inhomogeneity. However, it is not straightforward to apply the classical model of a dipolar source with the FEM, due to its strong singularity and the resulting irregularity. The focus of this study is on comparing different methods to cope with this problem. In particular, we evaluate the accuracy of Whitney (Raviart-Thomas)-type dipole-like source currents compared to two reference dipole modeling methods: the St. Venant and partial integration approach. Common to all these methods is that they enable direct approximation of the potential field utilizing linear basis functions. In the present context, Whitney elements are particularly interesting, as they provide a simple means to model a divergence-conforming primary current vector field satisfying the square integrability condition. Our results show that a Whitney-type source model can provide simulation accuracy comparable to the present reference methods. It can lead to superior accuracy under optimized conditions with respect to both source location and orientation in a tetrahedral mesh. For random source orientations, the St. Venant approach turns out to be the method of choice over the interpolated version of the Whitney model. The overall moderate differences obtained suggest that practical aspects, such as the focality, should be prioritized when choosing a source model.

Yksityiskohdat

AlkuperäiskieliEnglanti
Artikkeli7115102
Sivut2648-2656
Sivumäärä9
JulkaisuIEEE Transactions on Biomedical Engineering
Vuosikerta62
Numero11
TilaJulkaistu - 1 marraskuuta 2015
OKM-julkaisutyyppiA1 Julkaistu artikkeli, soviteltu

ID: 10224972