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 regulafized linear inverse source estimates of cortical current density. Determination of the priors in the resolution of the linear inverse problem was per-formed 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. (C) 2004 Elsevier Inc. All rights reserved.

Multimodal integration of EEG, MEG and fMRI data for the solution of the neuroimage puzzle / Babiloni, Fabio; Donetella, Mattia; Babiloni, Claudio; Astolfi, Laura; Salinari, Serenella; Alessandra, Basilisco; Paolo Maria, Rossini; Maria Grazia, Marciani; Cincotti, Febo. - In: MAGNETIC RESONANCE IMAGING. - ISSN 0730-725X. - 22:10 SPEC. ISS.(2004), pp. 1471-1476. (Intervento presentato al convegno International School on Magnetic Resonance and Brain Function tenutosi a Erice, ITALY nel MAY 23-27, 2004) [10.1016/j.mri.2004.10.007].

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

BABILONI, Fabio;BABILONI, CLAUDIO;ASTOLFI, LAURA;SALINARI, Serenella;CINCOTTI, FEBO
2004

Abstract

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 regulafized linear inverse source estimates of cortical current density. Determination of the priors in the resolution of the linear inverse problem was per-formed 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. (C) 2004 Elsevier Inc. All rights reserved.
2004
linear inverse source estimate; meg and fmri integration; movement-related potentials; multimodal eeg
01 Pubblicazione su rivista::01a Articolo in rivista
Multimodal integration of EEG, MEG and fMRI data for the solution of the neuroimage puzzle / Babiloni, Fabio; Donetella, Mattia; Babiloni, Claudio; Astolfi, Laura; Salinari, Serenella; Alessandra, Basilisco; Paolo Maria, Rossini; Maria Grazia, Marciani; Cincotti, Febo. - In: MAGNETIC RESONANCE IMAGING. - ISSN 0730-725X. - 22:10 SPEC. ISS.(2004), pp. 1471-1476. (Intervento presentato al convegno International School on Magnetic Resonance and Brain Function tenutosi a Erice, ITALY nel MAY 23-27, 2004) [10.1016/j.mri.2004.10.007].
File allegati a questo prodotto
File Dimensione Formato  
VE_2004_11573-360511.pdf

solo gestori archivio

Tipologia: Versione editoriale (versione pubblicata con il layout dell'editore)
Licenza: Tutti i diritti riservati (All rights reserved)
Dimensione 220.94 kB
Formato Adobe PDF
220.94 kB Adobe PDF   Contatta l'autore

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/360511
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? 13
  • Scopus 77
  • ???jsp.display-item.citation.isi??? 66
social impact