EEG Cortical Potential Imaging of Brain Electrical Activity by means of Parametric Projection Filters

Junichi Hori, Bin He

Research output: Contribution to journalArticlepeer-review

12 Scopus citations

Abstract

The objective of this study was to explore suitable spatial filters for inverse estimation of cortical potentials from the scalp electroencephalogram. The effect of incorporating noise covariance into inverse procedures was examined by computer simulations. The parametric projection filter, which allows inverse estimation with the presence of information on the noise covariance, was applied to an inhomogeneous three-concentric-sphere model under various noise conditions in order to estimate the cortical potentials from the scalp potentials. The present simulation results suggest that incorporation of information on the noise covariance allows better estimation of cortical potentials, than inverse solutions without knowledge about the noise covariance, when the correlation between the signal and noise is low. The method for determining the optimum regularization parameter, which can be applied for parametric inverse techniques, is also discussed.

Original languageEnglish (US)
Pages (from-to)1909-1920
Number of pages12
JournalIEICE Transactions on Information and Systems
VolumeE86-D
Issue number9
StatePublished - Sep 2003

Keywords

  • Cortical potential imaging
  • High resolution EEG
  • Inverse problem
  • Noise covariance
  • Non-uniform noise
  • Parametric projection filter

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