Document Type
Article
Publication Date
2-26-2024
Abstract
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: 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: 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: 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: 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.
Recommended Citation
Sathe, Anish; Alizadeh, Mahdi; Johannan, Emily; Raimondo, Christian; Sperling, Michael R; Sharan, Ashwini; and Kogan, Michael, "Stereotactic Electroencephalogram Recordings in Temporal Lobectomy Patients Demonstrates the Predictive Value of Interictal Cross-Frequency Correlations: A Retrospective Study" (2024). Department of Neurosurgery Faculty Papers. Paper 224.
https://jdc.jefferson.edu/neurosurgeryfp/224
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
PubMed ID
38539601
Language
English
Comments
This article is the author's final published version in Brain Sciences, Volume 14, Issue 3, March 2024, Article number 212.
The published version is available at https://doi.org/10.3390/brainsci14030212.
Copyright © 2024 by the authors