Helmholtz decomposition of the neuronal current for the ellipsoidal head model

DOI10.1088/1361-6420/aaedc4zbMath1405.92134OpenAlexW2899399793MaRDI QIDQ4646432

Parham Hashemzadeh, Athanassios S. Fokas

Publication date: 14 January 2019

Published in: Inverse Problems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1088/1361-6420/aaedc4

zbMATH Keywords

inverse problemselectroencephalographyEEGmagnetoencephalographyMEGnumerical quadrature over surface

Mathematics Subject Classification ID

Biological applications of optics and electromagnetic theory (78A70) Neural biology (92C20) Biomedical imaging and signal processing (92C55)

Related Items (2)

On the geometric sensitivity of the EEG inversion algorithm ⋮ On the geometric sensitivity of the MEG inversion algorithm

Uses Software

• OpenMEEG
• MNE

Cites Work

• Directional dependent Green's function and Kelvin images
• The complete ellipsoidal shell-model in EEG imaging
• The exterior magnetic field for the multilayer ellipsoidal model of the brain
• Nonstationary inverse problems and state estimation
• Inversion method for magnetoencephalography
• Magnetoencephalography
• Computation of higher order ellipsoidal harmonics with an application in electroencephalography
• Numerical quadrature over smooth, closed surfaces
• Electro-magneto-encephalography for the three-shell model: numerical implementation via splines for distributed current in spherical geometry
• Electro-magneto-encephalography for the three-shell model: minimal L ² -norm in spherical geometry

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