DocumentCode :
2577348
Title :
Inverse and forward modeling of interictal spikes in the EEG, MEG and ECoG
Author :
Huiskamp, G.J.M.
Author_Institution :
Dept. of Clinical Neurophysiol., Univ. Med. Center Utrecht, Netherlands
Volume :
2
fYear :
2002
fDate :
2002
Firstpage :
1393
Abstract :
We tested the validity of EEG and MEG source characterization of interictal spikes in epilepsy patients for which subdural grid registrations of the ECoG and accurate geometrical information from MRI and CT were available. A boundary element volume conduction model was used while for the inverse problem dipolar and distributed source models and epicortical potentials were tested. Results show that for a good qualitative correspondence between sources computed from EEG and ECoG signals distributed source models are to be preferred. For combined EEG-MEG the dipole model performs slightly better. For a good quantitative correspondence, proper modeling of the conductivity values and geometry is essential.
Keywords :
bioelectric potentials; boundary-elements methods; brain models; diseases; electroencephalography; inverse problems; magnetoencephalography; medical signal processing; source separation; CT; ECoG; EEG source characterization; MEG source characterization; MRI; accurate geometrical information; boundary element volume conduction model; combined EEG-MEG; conductivity values; dipolar source models; distributed source models; epicortical potentials; epilepsy patients; forward modeling; interictal spikes; inverse modeling; subdural grid registrations; Brain modeling; Conductivity; Distributed computing; Electroencephalography; Epilepsy; Geometry; Inverse problems; Magnetic resonance imaging; Solid modeling; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology, 2002. 24th Annual Conference and the Annual Fall Meeting of the Biomedical Engineering Society EMBS/BMES Conference, 2002. Proceedings of the Second Joint
ISSN :
1094-687X
Print_ISBN :
0-7803-7612-9
Type :
conf
DOI :
10.1109/IEMBS.2002.1106446
Filename :
1106446
Link To Document :
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