Skip to main content

ORIGINAL RESEARCH article

Front. Neurol.
Sec. Pediatric Neurology
Volume 15 - 2024 | doi: 10.3389/fneur.2024.1483977

Low Density Scalp Electrical Source Imaging of the Ictal Onset Zone Network using Source Coherence Maps

Provisionally accepted

    The final, formatted version of the article will be published soon.

      Introduction. This study investigated low-density scalp electrical source imaging of the ictal onset zone and interictal spike ripple high frequency oscillation networks using source coherence maps in the pediatric epilepsy surgical work-up. Intracranial monitoring, the gold standard for determining epileptogenic zones, has limited spatial sampling. Source coherence analysis presents a promising new non-invasive technique. Methods. This was a retrospective review of 12 patients who underwent focal resections. Source coherence maps were generated using Standardized Low Resolution Electromagnetic Tomography and concordance to resection margins was assessed, noting outcomes at 3 years post-surgery. Results. Ictal source coherence maps were performed in 7/12 patients. Six of seven included the surgical resection. Five of seven cases were seizure free post-resection. Interictal spike ripple electrical source imaging and interictal spike ripple high frequency oscillation networks using source coherence maps were performed for 3 cases, with 2/3 included in the resection and all 3 were seizure-free. Discussion. These findings may provide proof of principle supporting low-density scalp electrical source imaging of the ictal onset zone and spike ripple network using source coherence maps. This promising method is complementary to ictal and interictal electrical source imaging in the pediatric epilepsy surgical workup, guiding electrode placement for intracranial monitoring to identify the epileptogenic zone.

      Keywords: electrical source imaging, ictal onset zone, Source Coherence Maps, Low density, epilepsy surgery

      Received: 21 Aug 2024; Accepted: 06 Dec 2024.

      Copyright: © 2024 . This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

      Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.