MFEM Workshop 2022 | Solution of the Electroencephalography (EEG) Forward Problem
The LLNL-led MFEM (Modular Finite Element Methods) project provides high-order mathematical calculations for large-scale scientific simulations. The project’s second community workshop was held on October 25, 2022, with participants around the world. Learn more about MFEM at https://mfem.org/.
Ben Zwick of the University of Western Australia presented "Solution of the Electroencephalography (EEG) Forward Problem." The brain's electrical activity can be measured using EEG with electrodes attached to the scalp, or electrocorticography (ECoG), also known as intracranial EEG (iEEG), with electrodes implanted on the brain's surface. EEG source localization combines measurements from EEG or iEEG with data from medical imaging to estimate the location and strengths of the current sources that generated the measured electric potential at the electrodes. Source localization can be used to locate the epileptic zone in pharmaco-resistant focal epilepsies and study evoked related potentials. Accurate source localization requires fast and accurate solutions of the EEG forward problem, which involves calculating the electric potential within the brain volume given a predefined source. This presentation demonstrates how MFEM can be used to solve the EEG forward problem using patient-specific geometry and tissue conductivity obtained from medical images.