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Volume 14
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10.3390/brainsci14030212
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Article

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

by
Anish Vinay Sathe
1,*,
Mahdi Alizadeh
1,
Emily Johannan
1,
Christian Raimondo
1,
Michael Sperling
2,
Ashwini Sharan
1 and
Michael Kogan
3
1
Department of Neurological Surgery, Thomas Jefferson University, Philadelphia, PA 19107, USA
2
Department of Neurology, Thomas Jefferson University, Philadelphia, PA 19107, USA
3
Department of Neurological Surgery, University of New Mexico, Albuquerque, NM 87106, USA
*
Author to whom correspondence should be addressed.
Brain Sci. 2024, 14(3), 212; https://doi.org/10.3390/brainsci14030212
Submission received: 29 December 2023 / Revised: 21 February 2024 / Accepted: 22 February 2024 / Published: 26 February 2024
(This article belongs to the Special Issue Individualized EEG Biomarkers: Search-Related and Applicational Aspects)
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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.
Keywords: stereotactic electroencephalography; temporal lobectomy; epilepsy; cross-frequency correlations stereotactic electroencephalography; temporal lobectomy; epilepsy; cross-frequency correlations

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MDPI and ACS Style

Sathe, A.V.; Alizadeh, M.; Johannan, E.; Raimondo, C.; Sperling, M.; Sharan, A.; Kogan, M. Stereotactic Electroencephalogram Recordings in Temporal Lobectomy Patients Demonstrates the Predictive Value of Interictal Cross-Frequency Correlations: A Retrospective Study. Brain Sci. 2024, 14, 212. https://doi.org/10.3390/brainsci14030212

AMA Style

Sathe AV, Alizadeh M, Johannan E, Raimondo C, Sperling M, Sharan A, Kogan M. Stereotactic Electroencephalogram Recordings in Temporal Lobectomy Patients Demonstrates the Predictive Value of Interictal Cross-Frequency Correlations: A Retrospective Study. Brain Sciences. 2024; 14(3):212. https://doi.org/10.3390/brainsci14030212

Chicago/Turabian Style

Sathe, Anish Vinay, Mahdi Alizadeh, Emily Johannan, Christian Raimondo, Michael Sperling, Ashwini Sharan, and Michael Kogan. 2024. "Stereotactic Electroencephalogram Recordings in Temporal Lobectomy Patients Demonstrates the Predictive Value of Interictal Cross-Frequency Correlations: A Retrospective Study" Brain Sciences 14, no. 3: 212. https://doi.org/10.3390/brainsci14030212

APA Style

Sathe, A. V., Alizadeh, M., Johannan, E., Raimondo, C., Sperling, M., Sharan, A., & Kogan, M. (2024). Stereotactic Electroencephalogram Recordings in Temporal Lobectomy Patients Demonstrates the Predictive Value of Interictal Cross-Frequency Correlations: A Retrospective Study. Brain Sciences, 14(3), 212. https://doi.org/10.3390/brainsci14030212

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