Stereotactic Electroencephalogram Recordings in Temporal Lobectomy Patients Demonstrates the Predictive Value of Interictal Cross-Frequency Correlations: A Retrospective Study.

cross-frequency correlations epilepsy stereotactic electroencephalography temporal lobectomy

Journal

Brain sciences
ISSN: 2076-3425
Titre abrégé: Brain Sci
Pays: Switzerland
ID NLM: 101598646

Informations de publication

Date de publication:
26 Feb 2024
Historique:
received: 29 12 2023
revised: 21 02 2024
accepted: 22 02 2024
medline: 28 3 2024
pubmed: 28 3 2024
entrez: 28 3 2024
Statut: epublish

Résumé

Positive correlations between low- and high-frequency spectra from stereotactic electroencephalogram (SEEG) recordings have been implicated in pathological brain activity interictally and have been used for ictal detection in both focal and network models. We evaluated SEEG signals in patients who ultimately underwent temporal lobectomy to evaluate their utility in seizure localization and prediction of seizure freedom post-resection. We retrospectively analyzed cross-frequency correlations between beta and high gamma (HG) interictal SEEG signals from 22 patients. We compared signals based on temporal versus extra-temporal locations, seizure-free (SF) versus non-seizure-free (NSF) outcomes, and mesial (M) versus mesial temporal-plus (M+) onset. Positive cross-correlations were increased in temporal areas. NSF patients showed a higher proportion of positive electrodes in temporal areas. SF patients had a greater proportion of significant channels in mesial versus lateral temporal areas. HG/Beta correlations in mesial versus lateral temporal areas predicted seizure freedom better than ictal SEEG seizure onset localization to M or M+ locations. We present preliminary data that local HG/Beta correlations may predict epilepsy focus and surgical outcome and may have utility as adjunct methods to conventional SEEG analysis. Further studies are needed to determine strategies for prospective studies and clinical use.

Sections du résumé

BACKGROUND BACKGROUND
Positive correlations between low- and high-frequency spectra from stereotactic electroencephalogram (SEEG) recordings have been implicated in pathological brain activity interictally and have been used for ictal detection in both focal and network models.
OBJECTIVE OBJECTIVE
We evaluated SEEG signals in patients who ultimately underwent temporal lobectomy to evaluate their utility in seizure localization and prediction of seizure freedom post-resection.
METHODS METHODS
We retrospectively analyzed cross-frequency correlations between beta and high gamma (HG) interictal SEEG signals from 22 patients. We compared signals based on temporal versus extra-temporal locations, seizure-free (SF) versus non-seizure-free (NSF) outcomes, and mesial (M) versus mesial temporal-plus (M+) onset.
RESULTS RESULTS
Positive cross-correlations were increased in temporal areas. NSF patients showed a higher proportion of positive electrodes in temporal areas. SF patients had a greater proportion of significant channels in mesial versus lateral temporal areas. HG/Beta correlations in mesial versus lateral temporal areas predicted seizure freedom better than ictal SEEG seizure onset localization to M or M+ locations.
CONCLUSIONS CONCLUSIONS
We present preliminary data that local HG/Beta correlations may predict epilepsy focus and surgical outcome and may have utility as adjunct methods to conventional SEEG analysis. Further studies are needed to determine strategies for prospective studies and clinical use.

Identifiants

pubmed: 38539601
pii: brainsci14030212
doi: 10.3390/brainsci14030212
pii:
doi:

Types de publication

Journal Article

Langues

eng

Auteurs

Anish Vinay Sathe (AV)

Department of Neurological Surgery, Thomas Jefferson University, Philadelphia, PA 19107, USA.

Mahdi Alizadeh (M)

Department of Neurological Surgery, Thomas Jefferson University, Philadelphia, PA 19107, USA.

Emily Johannan (E)

Department of Neurological Surgery, Thomas Jefferson University, Philadelphia, PA 19107, USA.

Christian Raimondo (C)

Department of Neurological Surgery, Thomas Jefferson University, Philadelphia, PA 19107, USA.

Michael Sperling (M)

Department of Neurology, Thomas Jefferson University, Philadelphia, PA 19107, USA.

Ashwini Sharan (A)

Department of Neurological Surgery, Thomas Jefferson University, Philadelphia, PA 19107, USA.

Michael Kogan (M)

Department of Neurological Surgery, University of New Mexico, Albuquerque, NM 87106, USA.

Classifications MeSH