Cortical source estimate of combined high resolution EEG and fMRI data related to voluntary movements

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

Cortical source estimate of combined high resolution EEG and fMRI data related to voluntary movements

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

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

Abstract

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 patentials.

Original language	English
Pages (from-to)	443-450
Number of pages	8
Journal	Methods of Information in Medicine
Volume	41
Issue number	5
Publication status	Published - 2002

Keywords

Event-related fMRI
FMRI
High resolution EEG
Multimodal integration of EEG and fMRI
Voluntary movements

ASJC Scopus subject areas

Health Informatics
Health Information Management
Nursing(all)

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title = "Cortical source estimate of combined high resolution EEG and fMRI data related to voluntary movements",

abstract = "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 patentials.",

keywords = "Event-related fMRI, FMRI, High resolution EEG, Multimodal integration of EEG and fMRI, Voluntary movements",

author = "Fobio Babiloni and C. Babiloni and F. Carducci and {Del Gratta}, C. and Romani, {G. L.} and Rossini, {P. M.} and F. Cincotti",

year = "2002",

language = "English",

volume = "41",

pages = "443--450",

journal = "Methods of Information in Medicine",

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TY - JOUR

T1 - Cortical source estimate of combined high resolution EEG and fMRI data related to voluntary movements

AU - Babiloni, Fobio

AU - Babiloni, C.

AU - Carducci, F.

AU - Del Gratta, C.

AU - Romani, G. L.

AU - Rossini, P. M.

AU - Cincotti, F.

PY - 2002

Y1 - 2002

N2 - 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 patentials.

AB - 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 patentials.

KW - Event-related fMRI

KW - FMRI

KW - High resolution EEG

KW - Multimodal integration of EEG and fMRI

KW - Voluntary movements

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