Abstracts

Magnetoencephalography-guided Surgery Renders Children with Epilepsy Seizure Free After Previous Failed Attempts

Abstract number : 2.036
Submission category : 3. Neurophysiology / 3D. MEG
Year : 2022
Submission ID : 2204522
Source : www.aesnet.org
Presentation date : 12/4/2022 12:00:00 PM
Published date : Nov 22, 2022, 05:25 AM

Authors :
Grace Newell, – Burnett School of Medicine at TCU; Ludovica Corona, MSc – University of Texas at Arlington; Cook Children's Health Care System; Daniel Hansen, MD – Cook Children's Health Care System; Cynthia Keator, MD – Cook Children's Health Care System; Saleem Malik, MD – Cook Children's Health Care System; Christos Papadelis, PhD – Cook Children's Health Care System; Texas Christian University School of Medicine; University of Texas at Arlington; Scott Perry, MD – Cook Children's Health Care System

Rationale: Patients with drug resistant epilepsy (DRE) may achieve seizure freedom with epilepsy surgery. The success of surgery depends on the identification and ablation/resection of the epileptogenic zone (EZ). Intracranial electroencephalography (iEEG) is regarded as the gold standards for recording of seizures and identification of the seizure onset zone, which offers the best approximation of the EZ. Yet, iEEG recordings are spatially limited and may lead to incomplete identification of the EZ and thus surgical failure. Noninvasive techniques, such as magnetoencephalography (MEG), may augment the presurgical evaluation and improve the surgical outcome of children with DRE. Here, we present seizure free outcome from a series of children with DRE that failed iEEG-guided surgery, and subsequently underwent MEG-guided surgery.

Methods: We retrospectively reviewed the medical records of children with DRE who underwent repeat epilepsy surgery at Cook Children’s Medical Center within the last 10 years. We identified six patients who had an initial iEEG-directed surgery with a follow-up Engel score ≥ 2 (one year after surgery) and a repeat surgery after re-evaluation with MEG with a follow-up Engel score 1 (one year after surgery). A realistic head model was constructed using each patient’s magnetic resonance imaging (MRI) obtained prior to the second surgery. Two independent readers identified interictal epileptiform discharges (IEDs) on MEG data (Figure 1), and localized the underlying generators of IEDs with equivalent current dipoles (ECDs) (goodness-of-fit ≥ 70%) and performed an in-house dipole clustering method (Figure 2A). Surgical volumes from the second surgeries were manually delineated on patients’ post-surgical MRIs. We then estimated the mean distance of ECD clusters from the two volumes and compared them with Wilcoxon signed rank test (statistical significance at p< 0.05).
Neurophysiology