title: Multimodal integration of EEG and functional magnetic resonance recordings.
abstract: In this paper, advanced methods for the modeling of human cortical activity from combined high-resolution electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) data are reviewed. 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. 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 fMRI.
authors.affiliation: Department of Human Physiology & Pharmacology, Rome University, Italy.
authors.forename: Fabio
authors.initials: F
authors.lastname: Babiloni
authors.forename: Claudio
authors.initials: C
authors.lastname: Babiloni
authors.forename: Filippo
authors.initials: F
authors.lastname: Carducci
authors.forename: Paolo Maria
authors.initials: PM
authors.lastname: Rossini
authors.forename: Alessandra
authors.initials: A
authors.lastname: Basilisco
authors.forename: Laura
authors.initials: L
authors.lastname: Astolfi
authors.forename: Febo
authors.initials: F
authors.lastname: Cincotti