Multi-Compartment Volume Conductor with Complete Electrode Model: Simulated Stereo-EEG Source Localization using Brainstorm-Zeffiro Plugin
Fernando Galaz Prieto, Takfarinas Medani, Chinmay Chinara, Richard M. Leahy, Sampsa Pursiainen
TL;DR
Accurate localization of brain activity from combined scalp-EEG and stereo-EEG requires realistic, multi-compartment head models with accurate electrode modeling. The BST-ZI pipeline transfers BST segmentations and atlases into Zeffiro for FE mesh generation and forward/inverse modeling with a complete electrode model, enabling end-to-end MRI-to-lead-field computations. It constructs a 116-compartment head model from BST using Desikan-Killiany and Aseg atlases, includes 72 scalp electrodes and a 4-contact stereo-EEG probe, and employs a base mesh around 0.6 mm refined to ~0.3 mm near the probe to enable accurate forward solutions. Findings show that including stereo-EEG data concentrates the lead field near the implant and improves thalamic source localization, with better reconstructions when the dipole orientation is near parallel to the probe; the BST-ZI workflow supports integrated, DBS-oriented source localization that can inform planning.
Abstract
This study introduces a novel integration of the Brainstorm (BST) software and the Zeffiro Interface (ZI) to enable whole-head, multi-compartment volume conductor modeling for electroencephalography (EEG) source imaging, with a particular focus on stereotactic EEG applications. We present the BST-2-ZI plugin, a MATLAB-based tool that facilitates seamless transfer of tissue segmentations and anatomical atlases from BST into ZI for finite element (FE) mesh generation as well as forward and inverse modeling. The generated FE meshes support variable spatial resolution and implement the complete electrode model (CEM), allowing for precise modeling of both invasive depth electrodes and non-invasive scalp electrodes. Using the ICBM152 template and synthetic source simulation, we demonstrate the end-to-end pipeline from MRI data to lead field (LF) computation and source localization in a stereotactic EEG (stereo-EEG) setting. Our numerical experiments highlight the capability of the pipeline to accurately model multi-compartment head geometry and conductivity with a stereotactic CEM-based electrode configuration. Our preliminary source localization results show how a synthetic stereo-EEG probe corresponding to a bidirectional deep brain stimulation (DBS) probe with four omnidirectional contacts can, in principle, be coupled with scalp electrodes to improve source localization in its vicinity.
