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Methods Inf Med 2002; 41(05): 443-450
DOI: 10.1055/s-0038-1634217
Original Article
Schattauer GmbH

Cortical Source Estimate of Combined High Resolution EEG and fMRI Data Related to Voluntary Movements

F. Babiloni
1   Dipartimento di Fisiologia Umana e Farmacologia, Università di Roma “La Sapienza”, Roma, Italy
,
C. Babiloni
1   Dipartimento di Fisiologia Umana e Farmacologia, Università di Roma “La Sapienza”, Roma, Italy
4   AFaR and CRCCS Ospedale Fatebenefratelli, Isola Tiberina, Roma, Italy
,
F. Carducci
1   Dipartimento di Fisiologia Umana e Farmacologia, Università di Roma “La Sapienza”, Roma, Italy
4   AFaR and CRCCS Ospedale Fatebenefratelli, Isola Tiberina, Roma, Italy
,
Del C. Gratta
2   Dipartimento di Scienze Cliniche e Bioimmagini and Istituto di Tecnologie Avanzate Biomediche, Università “G. D’Annunzio”, Chieti, Italy
7   Istituto Nazionale di Fisica della Materia, UdR L’Aquila, Italy
,
G. L. Romani
2   Dipartimento di Scienze Cliniche e Bioimmagini and Istituto di Tecnologie Avanzate Biomediche, Università “G. D’Annunzio”, Chieti, Italy
7   Istituto Nazionale di Fisica della Materia, UdR L’Aquila, Italy
,
P. M. Rossini
3   IRCCS “San Giovanni di Dio”, Istituto Sacro Cuore di Gesù, Brescia, Italy
,
F. Cincotti
6   IRCCS Fondazione Santa Lucia, Roma, Italy
› Author Affiliations
Further Information

Publication History

Publication Date:
07 February 2018 (online)

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Summary

Objectives: In this paper, we employed advanced methods for the modeling of human cortical activity related to voluntary right one-digit movements from combined high-resolution electroencephalography (EEG) and functional magnetic resonance imaging (fMRI).

Methods: Multimodal integration between EEG and fMRI data was performed by using realistic head models, a large number of scalp electrodes (128) and the estimation of current density strengths by linear inverse estimation.

Results: Increasing of spatial details of the estimated cortical density distributions has been detected by using the proposed integration method with respect to the estimation using EEG data alone.

Conclusion: The proposed method of multimodal EEG-fMRI data is useful to increase spatial resolution of movement-related potentials and can also be applied to other kinds of event-related potentials.

Keywords

High resolution EEG - fMRI - multimodal integration of EEG and fMRI - voluntary movements - event-related fMRI
 

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