title: Neuroelectrical source imaging of mu rhythm control for BCI applications.
abstract: In the last decade, the possibility to noninvasively estimate cortical activity has been highlighted by the application of the techniques known as high resolution EEG. These techniques include a subject's multi-compartment head model (scalp, skull, dura mater, cortex) constructed from individual magnetic resonance images, multi-dipole source model, and regularized linear inverse source estimates of cortical current density. The aim of this paper is to demonstrate that the use of cortical activity estimated from noninvasive EEG recordings of motor imagery is useful in the context of a brain computer interface as compared with others scalp spatial filters usually used on-line.
authors.affiliation: Clinical Neurophysiopathology Unit, Fondazione Santa Lucia IRCCS, Roma.
authors.forename: M
authors.initials: M
authors.lastname: Mattiocco
authors.forename: F
authors.initials: F
authors.lastname: Babiloni
authors.forename: D
authors.initials: D
authors.lastname: Mattia
authors.forename: S
authors.initials: S
authors.lastname: Bufalari
authors.forename: S
authors.initials: S
authors.lastname: Sergio
authors.forename: S
authors.initials: S
authors.lastname: Salinari
authors.forename: M G
authors.initials: MG
authors.lastname: Marciani
authors.forename: F
authors.initials: F
authors.lastname: Cincotti
mesh_terms: D000328:Adult; D000465:Algorithms; D001931:Brain Mapping / Q000379:methods*; D003198:Computer Simulation; D004569:Electroencephalography / Q000379:methods*; D019054:Evoked Potentials, Motor / Q000502:physiology*; D006801:Humans; D008297:Male; D008959:Models, Neurological; D009044:Motor Cortex / Q000502:physiology*; D014584:User-Computer Interface