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 |
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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)