Integration of high resolution EEG and functional magnetic resonance in the study of human movement-related potentials

F. Babiloni; F. Carducci; F. Cincotti; C. Del Gratta; G. M. Roberti; G. L. Romani; P. M. Rossini; C. Babiloni

Integration of high resolution EEG and functional magnetic resonance in the study of human movement-related potentials

F. Babiloni, F. Carducci, F. Cincotti, C. Del Gratta, G. M. Roberti, G. L. Romani, P. M. Rossini, C. Babiloni

Research output: Contribution to journal › Article › peer-review

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.

Original language	English
Pages (from-to)	179-182
Number of pages	4
Journal	Methods of Information in Medicine
Volume	39
Issue number	2
Publication status	Published - 2000

Keywords

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

ASJC Scopus subject areas

Health Informatics
Health Information Management
Nursing(all)

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Integration of high resolution EEG and functional magnetic resonance in the study of human movement-related potentials. / Babiloni, F.; Carducci, F.; Cincotti, F.; Del Gratta, C.; Roberti, G. M.; Romani, G. L.; Rossini, P. M.; Babiloni, C.

In: Methods of Information in Medicine, Vol. 39, No. 2, 2000, p. 179-182.

Research output: Contribution to journal › Article › peer-review

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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.",

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AU - Carducci, F.

AU - Cincotti, F.

AU - Del Gratta, C.

AU - Roberti, G. M.

AU - Romani, G. L.

AU - Rossini, P. M.

AU - Babiloni, C.

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Integration of high resolution EEG and functional magnetic resonance in the study of human movement-related potentials

Abstract

Keywords

ASJC Scopus subject areas

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