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Methods Inf Med 2000; 39(02): 179-182
DOI: 10.1055/s-0038-1634268
Original Article
Schattauer GmbH

Integration of High Resolution EEG and Functional Magnetic Resonance in the Study of Human Movement-Related Potentials

F. Babiloni
1   Istituto Fisiologia Umana-II Catt. Biofisica, Università di Roma “La Sapienza”, Roma
,
F. Carducci
1   Istituto Fisiologia Umana-II Catt. Biofisica, Università di Roma “La Sapienza”, Roma
,
F. Cincotti
1   Istituto Fisiologia Umana-II Catt. Biofisica, Università di Roma “La Sapienza”, Roma
,
C. Del Gratta
2   Istituto Tecnologie Avanzate Biomediche (ITAB),Università G. D’Annunzio, Chieti
,
G. M. Roberti
4   A. Fa. R. CRCCS-Divisione di Neurologia, Osp. FBF Isola Tiberina, Rome, Italy
,
G. L. Romani
2   Istituto Tecnologie Avanzate Biomediche (ITAB),Università G. D’Annunzio, Chieti
,
P. M. Rossini
3   AFaR-IRCCS “San Giovanni di Dio” Istituto Sacro Cuore di Gesu’, Brescia
,
C. Babiloni
1   Istituto Fisiologia Umana-II Catt. Biofisica, Università di Roma “La Sapienza”, Roma
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Publikationsdatum:
07. Februar 2018 (online)

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Abstract:

Cortical sources of human movement-related potentials (i.e. unilateral finger extension) were modeled using functional magnetic resonance imaging (fMR) data as a constraint of a linear inverse source estimation from highly sampled (128 channels) EEG data. Remarkably, this estimation was performed within realistic subject’s MR-constructed head models by boundary element techniques. An appropriate figure of merit served to set the optimal amount of fMR constraints. With respect to standard linear inverse source estimates, fMR-constrained ones presented increased spatial detail and provided a more reliable timing of activation in bilateral sensorimotor cortical regions of interest.

Keywords:

High Resolution EEG - Functional Magnetic Resonance Imaging (fMR) - Cortical Source Modeling - Linear Inverse Estimation - Voluntary Movement
 

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