  Electrocorticography (ECoG) or intracranial electroencephalography (iEEG)
monitors electric potential directly on the surface of the brain and can be
used to inform treatment planning for epilepsy surgery when paired with
numerical modeling. For solving the inverse problem in epilepsy seizure onset
localization, accurate solution of the iEEG forward problem is critical which
requires accurate representation of the patient's brain geometry and tissue
electrical conductivity. In this study, we present an automatic framework for
constructing the brain volume conductor model for solving the iEEG forward
problem and visualizing the brain bioelectric field on a deformed
patient-specific brain model within the 3D Slicer environment. We solve the
iEEG forward problem on the predicted postoperative geometry using the finite
element method (FEM) which accounts for patient-specific inhomogeneity and
anisotropy of tissue conductivity. We use an epilepsy case study to illustrate
the workflow of our framework developed and integrated within 3D Slicer.
