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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Babiloni, F., Carducci, F., Cincotti, F., Del Gratta, C., Roberti, G. M., Romani, G. L., Rossini, P. M., & Babiloni, C. (2000). Integration of high resolution EEG and functional magnetic resonance in the study of human movement-related potentials. Methods of Information in Medicine, 39(2), 179-182.