Virtual intracranial EEG signals reconstructed from MEG with potential for epilepsy surgery.

ABSTRACT: Modelling the interactions that arise from neural dynamics in seizure genesis is challenging but important in the effort to improve the success of epilepsy surgery. Dynamical network models developed from physiological evidence offer insights into rapidly evolving brain networks in the epileptic seizure. A limitation of previous studies in this field is the dependence on invasive cortical recordings with constrained spatial sampling of brain regions that might be involved in seizure dynamics. Here, we propose virtual intracranial electroencephalography (ViEEG), which combines non-invasive ictal magnetoencephalographic imaging (MEG), dynamical network models and a virtual resection technique. In this proof-of-concept study, we show that ViEEG signals reconstructed from MEG alone preserve cr

SUBMITTER: Cao M 

PROVIDER: S-EPMC8863890 | biostudies-literature | 2022 Feb

REPOSITORIES: biostudies-literature