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Spatio-temporal current density reconstruction (stCDR) from EEG/MEG-data.

F Darvas·U Schmitt·A K Louis·M Fuchs·G Knoll·H Buchner
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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.

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AlgorithmsBrain MappingComputer SimulationData Interpretation, StatisticalElectroencephalographyHumansMagnetoencephalographyModels, NeurologicalJournal ArticleResearch Support, Non-U.S. Gov't

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BibTeXRIS

F Darvas, U Schmitt, A K Louis, M Fuchs, G Knoll, H Buchner. 2001. Spatio-temporal current density reconstruction (stCDR) from EEG/MEG-data.. https://doi.org/10.1023/a%3A1007855119092

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