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 critical temporospatial characteristics for dynamical approaches to identify brain areas involved in seizure generation. We show the non-invasive ViEEG approach may have some advantage over intracranial electroencephalography (iEEG). Future work may be designed to test the potential of the virtual iEEG approach for use in surgical management of epilepsy.

Virtual implantation using conventional scalp EEG delineates seizure onset and predicts surgical outcome in children with epilepsy

“…This notion further suggests that virtual implantation using low-density EEG may aid the localization of the SOZ at sublobar resolution, regardless of the location of the epileptogenic focus. However, it is reasonable to assume that more advanced neurophysiological techniques (i.e., hdEEG or MEG) may further improve the overall performance of virtual intracranial implantation ( Cao et al, 2022 , Plummer et al, 2019 ). Further prospective studies on large patient populations will reveal whether EEG monitoring using hdEEG or MEG will provide an added value for the localization of the SOZ using virtual implantation.…”

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“…The use of noninvasive brain stimulation is widespread in studies of neuroscience [125]. The non-invasive neuroscience methods are: transcranial magnetic stimulation (TMS), electroencephalography (EEG), magnetoencephalography (MEG), positron emission tomography (PET), functional magnetic resonance imaging (fMRI), near infrared spectroscopy (NIRS), diffusion tensor imaging (DTI), steady-state topography (SST), and others [126,127,128,129,130,131,132,133,134]. These non-invasive neuroscience methods are described in detail in Section 3.…”

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“…The use of non-invasive brain stimulation is widespread in studies of neuroscience [ 125 ]. The non-invasive neuroscience methods are: transcranial magnetic stimulation (TMS), electroencephalography (EEG), magnetoencephalography (MEG), positron emission tomography (PET), functional magnetic resonance imaging (fMRI), near infrared spectroscopy (NIRS), diffusion tensor imaging (DTI), steady-state topography (SST), and others [ 126 , 127 , 128 , 129 , 130 , 131 , 132 , 133 , 134 ]. These non-invasive neuroscience methods are described in detail in Section 3 .…”