Multimodal integration of EEG, MEG and fMRI data for the solution

Magn Reson Imaging · Dec 2004

Multimodal integration of EEG, MEG and fMRI data for the solution of the neuroimage puzzle.

In this paper, advanced methods for the modeling of human cortical activity from combined high-resolution electroencephalography (EEG), magnetoencephalography (MEG) and functional magnetic resonance imaging (fMRI) data are presented. These methods include a subject's multicompartment head model (scalp, skull, dura mater, cortex) constructed from magnetic resonance images, multidipole source model and regularized linear inverse source estimates of cortical current density. Determination of the priors in the resolution of the linear inverse problem was performed with the use of information from the hemodynamic responses of the cortical areas as revealed by block-designed (strength of activated voxels) fMRI. Examples of the application of these methods to the estimation of the time varying cortical current density activity in selected region of interest (ROI) are presented for movement-related high-resolution EEG data.

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- Fabio Babiloni, Donetella Mattia, Claudio Babiloni, Laura Astolfi, Serenella Salinari, Alessandra Basilisco, Paolo Maria Rossini, Maria Grazia Marciani, and Febo Cincotti.
- Department of Human Physiology and Pharmacology, University "La Sapienza", 00185 Rome, Italy. fabio.babiloni@uniroma1.it
- Magn Reson Imaging. 2004 Dec 1; 22 (10): 1471-6.
AbstractIn this paper, advanced methods for the modeling of human cortical activity from combined high-resolution electroencephalography (EEG), magnetoencephalography (MEG) and functional magnetic resonance imaging (fMRI) data are presented. These methods include a subject's multicompartment head model (scalp, skull, dura mater, cortex) constructed from magnetic resonance images, multidipole source model and regularized linear inverse source estimates of cortical current density. Determination of the priors in the resolution of the linear inverse problem was performed with the use of information from the hemodynamic responses of the cortical areas as revealed by block-designed (strength of activated voxels) fMRI. Examples of the application of these methods to the estimation of the time varying cortical current density activity in selected region of interest (ROI) are presented for movement-related high-resolution EEG data.

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Multimodal integration of EEG, MEG and fMRI data for the solution of the neuroimage puzzle.

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