A computer simulation study of cortical imaging from scalp potentials
- 1 June 1998
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Biomedical Engineering
- Vol. 45 (6) , 724-735
- https://doi.org/10.1109/10.678607
Abstract
In this paper, computer simulation studies were conducted to test the feasibility of imaging brain electrical activity from the scalp electroencephalograms. The inhomogeneous three-concentric-sphere head model was used to represent the head volume conductor. Closed spherical dipole layers, consisting of several thousand uniformly distributed dipoles, were used to reconstruct the cortical potential maps corresponding to neuronal sources located inside the brain. Simulation results indicate that the present procedure can image both cortical and deep sources, and for the cortical sources, a spatial resolution as high as 1.2 cm can be achieved.Keywords
This publication has 26 references indexed in Scilit:
- Improved method for computation of potentials in a realistic head shape modelIEEE Transactions on Biomedical Engineering, 1995
- Principal-component localization of the sources of the background EEGIEEE Transactions on Biomedical Engineering, 1995
- A method for localizing EEG sources in realistic head modelsIEEE Transactions on Biomedical Engineering, 1995
- Dynamic extraction of visual evoked potentials through spatial analysis and dipole localizationIEEE Transactions on Biomedical Engineering, 1995
- Numerical tests of a method for simulating electrical potentials on the cortical surfaceIEEE Transactions on Biomedical Engineering, 1991
- Age-related features of the resting and P300 auditory evoked responses using the dipole localization method and cortical imaging techniqueJournal of Neuroscience Methods, 1990
- Some properties of singular value decomposition and their applications to digital signal processingSignal Processing, 1989
- Scalp Current Density Mapping: Value and Estimation from Potential DataIEEE Transactions on Biomedical Engineering, 1987
- Use of Spatial Deconvolution to Compensate for Distortion of EEG by Volume ConductionIEEE Transactions on Biomedical Engineering, 1980
- Convolution computer processing of the brain electrical image transmissionInternational Journal of Bio-Medical Computing, 1976