Pre-surgical High-density EEG and Atlas Electrical Head Models Provide Low-error Epileptic Foci Predictions in Patients That Received Favorable Resective Surgery
Abstract number :
3.196
Submission category :
3. Neurophysiology / 3G. Computational Analysis & Modeling of EEG
Year :
2022
Submission ID :
2204677
Source :
www.aesnet.org
Presentation date :
12/5/2022 12:00:00 PM
Published date :
Nov 22, 2022, 05:26 AM
Authors :
Kyle Morgan, PhD – Brain Electrophysiology Laboratory Co; Mariano Fernandez-Corazza, PhD – Universidad Nacional de la Plata; Rui Feng, MD – Huashan Hospital; Phan Luu, PhD – Brain Electrophysiology Laboratory Co; Mark Holmes, MD – University of Washington; Don Tucker, PhD – Brain Electrophysiology Laboratory Co
Rationale: Epileptic foci localization using intracranial Electroencephalography (icEEG) is a routine part of pre-surgical planning for resective surgery. However, our recent work (Fernandez-Corazza et al., 2021) that used individual electrical head models and novel inverse solutions combined with non-invasive pre-surgical high-density EEG (hdEEG) established the feasibility of identifying epileptic foci non-invasively. As an extension to that work, the goal of the present study is to evaluate the accuracy of using atlas head models (that is, electrical head models based on age-matched generic neuroanatomy) to perform epileptic foci localization to further minimize the number of pre-operative procedures required for each patient.
Methods: Pre-operative structural MRIs and 1 hour of pre-operative hdEEG was collected from 25 patients with epilepsy. All 25 patients then received favorable resective surgery (Engel = 1). Following surgery, the primary surgeon constructed a 3D drawing of the resected area using the pre-operative MRI as a guide. This drawing was co-registered with an age-appropriate atlas electrical head model using Sourcerer software (BEL, Eugene, Oregon, U.S.). Inter-ictal spikes from the pre-operative hdEEG recording were localized to an estimated source on the cortical surface of the atlas head model. The Euclidean distance (MNI space) between the maximum intensity value in the source estimate and the resected boundary was computed to provide millimeter error calculations for all patients.
Results: Using a Bayesian Multiple Sparse Prior (MSP) inverse algorithm (Fernandez-Corazza et al., 2021), the focal peak of our source estimation fell within the resected boundary on 15 out of 25 patients, with an average error distance of 11.90 mm. Compared with sLORETA and LORETA algorithms, MSP provided the lowest error (F = 3.65, p > .001).
Conclusions: When compared to a ground-truth resected boundary, this study shows that carefully constructed atlas head models and MSP provide a low-error, noninvasive, and potentially cost-saving method to perform presurgical epileptic foci localization.
Funding: This research was supported by grant R44NS120591-01A1.
Neurophysiology