Combined high resolution EEG and MEG data for linear inverse estimate of human event-related cortical activity

F. Babiloni, C. Del Gratta, F. Carducci, C. Babiloni, G. M. Roberti, V. Pizzella, P. M. Rossini, G. L. Romani, A. Urbano

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

Abstract

A new spatial deblurring method for the modeling of human event-related cortical activity from electroencephalography (EEG) and magnetoencephalography (MEG) data is proposed. This method includes high surface sampling of EEG-MEG data (128-50 sensors), realistic magnetic resonance-constructed subject's multi-compartment (scalp, skull, dura mater, cortex) head model, multi-dipole source model, and regularized linear inverse estimate based on boundary element mathematics. As a novelty, linear inverse estimates are regularized not assuming that covariance of background electromagnetic noise between sensors was zero. EEG and MEG data were recorded (separate sessions) while two normal subjects executed voluntary right one-digit movements. Linear inverse estimates of movement-related cortical activity from the combined EEG and MEG data showed higher spatial information content than those obtained from the MEG and EEG data considered separately. In conclusion, the new spatial deblurring method represents a powerful multi-modal neuroimaging approach to the non invasive study of human brain functions.

Original languageEnglish
Title of host publicationAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
EditorsH.K. Chang, Y.T. Zhang
PublisherIEEE
Pages2151-2154
Number of pages4
Volume4
Publication statusPublished - 1998
EventProceedings of the 1998 20th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Part 4 (of 6) - Hong Kong, China
Duration: Oct 29 1998Nov 1 1998

Other

OtherProceedings of the 1998 20th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Part 4 (of 6)
CityHong Kong, China
Period10/29/9811/1/98

ASJC Scopus subject areas

  • Bioengineering

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