Forward Field Computation with OpenMEEG

被引：85

作者：

Gramfort, Alexandre ^{[1
]}

Papadopoulo, Theodore ^{[2
]}

Olivi, Emmanuel ^{[2
]}

Clerc, Maureen ^{[2
]}

机构：

[1] Neurospin CEA, INRIA Saclay Ile De France, Parietal Project Team, F-91191 Gif Sur Yvette, France

[2] INRIA Sophia Antipolis Mediterranee, Athena Project Team, F-06902 Sophia Antipolis, France

来源：

COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE | 2011年 / 2011卷

关键词：

ELECTROMAGNETIC THEORY; HEAD; EEG; ELECTROCARDIOLOGY; CONDUCTIVITY; MEG/EEG; MODEL;

D O I：

10.1155/2011/923703

中图分类号：

Q [生物科学];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

To recover the sources giving rise to electro- and magnetoencephalography in individual measurements, realistic physiological modeling is required, and accurate numerical solutions must be computed. We present OpenMEEG, which solves the electromagnetic forward problem in the quasistatic regime, for head models with piecewise constant conductivity. The core of OpenMEEG consists of the symmetric Boundary Element Method, which is based on an extended Green Representation theorem. OpenMEEG is able to provide lead fields for four different electromagnetic forward problems: Electroencephalography (EEG), Magnetoencephalography (MEG), Electrical Impedance Tomography (EIT), and intracranial electric potentials (IPs). OpenMEEG is open source and multiplatform. It can be used from Python and Matlab in conjunction with toolboxes that solve the inverse problem; its integration within FieldTrip is operational since release 2.0.

引用

页数：13

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