An evaluation of EEG scanner's dependence on the imaging technique, forward model computation method, and array dimensionality

EEG source reconstruction involves solving an inverse problem that is highly ill-posed and dependent on a generally fixed forward propagation model. In this contribution we compare a low and high density EEG setup's dependence on correct forward modeling. Specifically, we examine how different...

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Bibliographic Details
Main Authors: Stahlhut, C., Attias, H. T., Stopczynski, A., Petersen, M. K., Larsen, J. E., Hansen, L. K.
Format: Conference Proceeding
Language:English
Subjects:
Biological system modeling
Brain modeling
Computational modeling
Electroencephalography
Image reconstruction
Imaging
Sensors
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Summary:EEG source reconstruction involves solving an inverse problem that is highly ill-posed and dependent on a generally fixed forward propagation model. In this contribution we compare a low and high density EEG setup's dependence on correct forward modeling. Specifically, we examine how different forward models affect the source estimates obtained using four inverse solvers Minimum-Norm, LORETA, Minimum-Variance Adaptive Beamformer, and Sparse Bayesian Learning.
ISSN:1094-687X
1558-4615
2694-0604
DOI:10.1109/EMBC.2012.6346235