Author:
Babiloni C.,Carducci F.,Gratta Del,Romani G. L.,Rossini P. M.,Cincotti F.,Babiloni F.
Abstract
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.
Subject
Health Information Management,Advanced and Specialized Nursing,Health Informatics
Cited by
12 articles.
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