CutFEM‐based MEG forward modeling improves source separability and sensitivity to quasi‐radial sources: A somatosensory group study
Tim Erdbrügger,
Malte Höltershinken,
Jan‐Ole Radecke
et al.
Abstract:Source analysis of magnetoencephalography (MEG) data requires the computation of the magnetic fields induced by current sources in the brain. This so‐called MEG forward problem includes an accurate estimation of the volume conduction effects in the human head. Here, we introduce the Cut finite element method (CutFEM) for the MEG forward problem. CutFEM's meshing process imposes fewer restrictions on tissue anatomy than tetrahedral meshes while being able to mesh curved geometries contrary to hexahedral meshing… Show more
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