Cortical imaging of brain electrical activity using parametric inverse filter

Junichi Hori, Toshinari Miwa, Takeshi Ohshima, Bin He

Research output: Chapter in Book/Report/Conference proceedingConference contribution


A number of efforts have been made in the development of high-resolution EEG techniques, which attempt to map spatially distributed brain electrical activity with substantially improved spatial resolution. The objective of this study is to explore suitable spatial filters for inverse estimation of cortical potential imaging from the scalp electroencephalogram. The effects of incorporating statistically signal and noise information into inverse procedures were examined by computer simulations and experimental study. The parametric Weiner filter (PWF) with signal and noise covariance was applied to an inhomogeneous head model under various signal and noise conditions. The present simulation results suggest that, the PWF provides better cortical imaging results than the Tikhonov regularization under the condition of moderate and high correlation between signal and noise distributions. The proposed methods were applied to self-paced movementrelated potentials (MRPs). The cortical potential maps estimated by means of PWF were well-localized in the premotor cortex, which is consistent with the hand motor representation.

Original languageEnglish (US)
Title of host publicationIFMBE Proceedings
EditorsSun I. Kim, Tae Suk Suh
PublisherSpringer Verlag
Number of pages4
ISBN (Print)9783540368397
StatePublished - 2007
Event10th World Congress on Medical Physics and Biomedical Engineering, WC 2006 - Seoul, Korea, Republic of
Duration: Aug 27 2006Sep 1 2006

Publication series

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


Conference10th World Congress on Medical Physics and Biomedical Engineering, WC 2006
Country/TerritoryKorea, Republic of


  • Cortical potential imaging
  • High resolution EEG
  • Inverse problem
  • Movement-related potential
  • Parametric Weiner filter


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