Source localization of ictal SEEG to predict postoperative seizure outcome.


Journal

Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology
ISSN: 1872-8952
Titre abrégé: Clin Neurophysiol
Pays: Netherlands
ID NLM: 100883319

Informations de publication

Date de publication:
12 2022
Historique:
received: 08 07 2022
revised: 02 08 2022
accepted: 17 08 2022
pubmed: 11 9 2022
medline: 25 11 2022
entrez: 10 9 2022
Statut: ppublish

Résumé

Stereo-electroencephalography (SEEG) is inherently-three-dimensional and can be modeled using source localization. This study aimed to assess the validity of ictal SEEG source localization. The dominant frequency at ictal onset was used for source localization in the time and frequency domains using rotating dipoles and current density maps. Validity was assessed by concordance with the epileptologist-defined seizure onset zone (conventional SOZ) and the surgical treatment volume (TV) of seizure-free versus non-seizure-free patients. Source localization was performed on 68 seizures from 27 patients. Median distance to nearest contact in the conventional SOZ was 7 (IQR 6-12) mm for time-domain dipoles. Current density predicted ictal activity with up to 86 % (60-87 %) accuracy. Distance from time-domain dipoles to the TV was smaller (P = 0.045) in seizure-free (2 [0-4] mm) versus non-seizure-free (12 [2-17] mm) patients, and predicted surgical outcome with 91 % sensitivity and 63 % specificity. Removing near-field data from contacts within the TV negated outcome prediction (P = 0.51). Source localization of SEEG accurately mapped ictal onset compared with conventional interpretation. Proximity of dipoles to the TV predicted seizure outcome when near-field recordings were analyzed. Ictal SEEG source localization is useful in corroborating the epileptogenic zone, assuming near-field recordings are obtained.

Identifiants

pubmed: 36088217
pii: S1388-2457(22)00866-5
doi: 10.1016/j.clinph.2022.08.013
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

142-150

Commentaires et corrections

Type : CommentIn

Informations de copyright

Copyright © 2022 International Federation of Clinical Neurophysiology. Published by Elsevier B.V. All rights reserved.

Auteurs

David Satzer (D)

Department of Neurological Surgery, University of Chicago, Chicago, IL, USA. Electronic address: david.satzer@uchospitals.edu.

Yasar T Esengul (YT)

Department of Neurology, University of Chicago, Chicago, IL, USA.

Peter C Warnke (PC)

Department of Neurological Surgery, University of Chicago, Chicago, IL, USA.

Naoum P Issa (NP)

Department of Neurology, University of Chicago, Chicago, IL, USA.

Douglas R Nordli (DR)

Section of Child Neurology, Department of Pediatrics, University of Chicago, Chicago, IL, USA.

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Classifications MeSH