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

被引:29
作者
Darvas, F
Schmitt, U
Louis, AK
Fuchs, M
Knoll, G
Buchner, H
机构
[1] Rhein Westfal TH Aachen, Dept Neurol, D-52057 Aachen, Germany
[2] Inst Machine Elements & Tribol, Kassel, Germany
[3] Inst Appl Math, Saarbrucken, Germany
[4] Philips Res Labs, Hamburg, Germany
关键词
bioelectromagnetic inverse problem; spatio-temporal current density reconstruction; EEG; MEG;
D O I
10.1023/A:1007855119092
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
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.
引用
收藏
页码:195 / 207
页数:13
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