title: Spatio-temporal current density reconstruction (stCDR) from EEG/MEG-data.
abstract: Among the different approaches to the bioelectromagnetic inverse problem, the current-density reconstruction methods (CDR) provide the most general solutions. Since the inverse problem does not have a unique solution, model assumptions have to be taken into account. Multi-channel measurements contain not only spatial, but also temporal information about the sources, so a naturally extension to existing methods leads to spatio-temporal model constraints. Spatio-temporal CDR's (stCDR) have been tested in simplified volume conductor models, assuming different spatial model constraints and a smooth temporal activation model. Comparison to existing spatial model constraints showed a significant improvement of spatial and temporal resolution of the reconstructed sources for the spatio-temporal models especial in noisy data.
authors: Department of Neurology, RWTH, Aachen, FRG.
authors: F
authors: F
authors: Darvas
authors: U
authors: U
authors: Schmitt
authors: A K
authors: AK
authors: Louis
authors: M
authors: M
authors: Fuchs
authors: G
authors: G
authors: Knoll
authors: H
authors: H
authors: Buchner
mesh_terms: D000465:Algorithms; D001931:Brain Mapping; D003198:Computer Simulation; D003627:Data Interpretation, Statistical; D004569:Electroencephalography / Q000706:statistics & numerical data*; D006801:Humans; D015225:Magnetoencephalography / Q000706:statistics & numerical data*; D008959:Models, Neurological