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 |
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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)