Solution of the Electroencephalography Forward Problem Using MFEM - Workshop 2022

Explore a conference talk from the MFEM Workshop 2022 focused on solving the Electroencephalography (EEG) Forward Problem. Delve into the application of MFEM (Modular Finite Element Methods) for high-order mathematical calculations in large-scale scientific simulations, particularly in the field of neuroscience. Learn about EEG source localization, its importance in studying epilepsy and evoked related potentials, and how MFEM can be utilized to solve the EEG forward problem using patient-specific geometry and tissue conductivity obtained from medical images. Discover the process of electrophysiological source imaging, ECOG-induced brain shift, and the software implementation using MFEM and PyMFEM. Gain insights into the SlicerCBM framework for computational biophysics in medicine, DTI-based soft tissue classification and conductivity assignment, and mesh generation techniques. Examine the results, future work prospects, and acknowledgments in this comprehensive presentation by Ben Zwick from the University of Western Australia.

Intro
Motivation
Electrophysiological source imaging (ESI)
ECOG-induced brain shift
EEG forward problem
Software implementation using MFEM+ PyMFEM
SlicerCBM: Computational biophysics for medicine in 3D Slicer
DTI-based soft tissue classification
DTI-based conductivity assignment
Mesh generation
Results
Future work
Conclusions
Acknowledgments