Multimodal integration of EEG and functional magnetic resonance recordings.
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.
Babiloni
Fabio
F
Department of Human Physiology & Pharmacology, Rome University, Italy.
Babiloni
Claudio
C
Carducci
Filippo
F
Rossini
Paolo Maria
PM
Basilisco
Alessandra
A
Astolfi
Laura
L
Cincotti
Febo
F