An evaluation of EEG scanner's dependence on the imaging technique, forward model computation method, and array dimensionality

Annu Int Conf IEEE Eng Med Biol Soc. 2012:2012:1538-41. doi: 10.1109/EMBC.2012.6346235.

Abstract

EEG source reconstruction involves solving an inverse problem that is highly ill-posed and dependent on a generally fixed forward propagation model. In this contribution we compare a low and high density EEG setup's dependence on correct forward modeling. Specifically, we examine how different forward models affect the source estimates obtained using four inverse solvers Minimum-Norm, LORETA, Minimum-Variance Adaptive Beamformer, and Sparse Bayesian Learning.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Bayes Theorem
  • Computer Simulation
  • Electroencephalography / instrumentation*
  • Electroencephalography / methods*
  • Electromagnetic Fields
  • Head / physiology
  • Humans
  • Image Processing, Computer-Assisted / methods*
  • Models, Theoretical*
  • Temporal Lobe / physiology