Intracranial EEG Biomarkers for Seizure Lateralization in Rapidly-Bisynchronous Epilepsy After Laser Corpus Callosotomy

Objective: It has been asserted that high-frequency analysis of intracranial EEG (iEEG) data may yield information useful in localizing epileptogenic foci. Methods: We tested whether proposed biomarkers could predict lateralization based on iEEG data collected prior to corpus callosotomy (CC) in thr...

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Published inFrontiers in neurology Vol. 12; p. 696492
Main Authors Khuvis, Simon, Hwang, Sean T., Mehta, Ashesh D.
Format Journal Article
LanguageEnglish
Published Frontiers Media S.A 08.10.2021
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ISSN1664-2295
1664-2295
DOI10.3389/fneur.2021.696492

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Summary:Objective: It has been asserted that high-frequency analysis of intracranial EEG (iEEG) data may yield information useful in localizing epileptogenic foci. Methods: We tested whether proposed biomarkers could predict lateralization based on iEEG data collected prior to corpus callosotomy (CC) in three patients with bisynchronous epilepsy, whose seizures lateralized definitively post-CC. Lateralization data derived from algorithmically-computed ictal phase-locked high gamma (PLHG), high gamma amplitude (HGA), and low-frequency (filtered) line length (LFLL), as well as interictal high-frequency oscillation (HFO) and interictal epileptiform discharge (IED) rate metrics were compared against ground-truth lateralization from post-CC ictal iEEG. Results: Pre-CC unilateral IEDs were more frequent on the more-pathologic side in all subjects. HFO rate predicted lateralization in one subject, but was sensitive to detection threshold. On pre-CC data, no ictal metric showed better predictive power than any other. All post-corpus callosotomy seizures lateralized to the pathological hemisphere using PLHG, HGA, and LFLL metrics. Conclusions: While quantitative metrics of IED rate and ictal HGA, PHLG, and LFLL all accurately lateralize based on post-CC iEEG, only IED rate consistently did so based on pre-CC data. Significance: Quantitative analysis of IEDs may be useful in lateralizing seizure pathology. More work is needed to develop reliable techniques for high-frequency iEEG analysis.
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Reviewed by: Jon Kleen, University of California, San Francisco, United States; Masaki Iwasaki, National Center of Neurology and Psychiatry, Japan
Present address: Simon Khuvis, Department of Psychiatry, NYU Grossman School of Medicine and Center for Neural Science, New York University, New York, NY, United States
This article was submitted to Epilepsy, a section of the journal Frontiers in Neurology
Edited by: Pierre-Pascal Lenck-Santini, INSERM U901 Institut de Neurobiologie de la Méditerranée, France
ISSN:1664-2295
1664-2295
DOI:10.3389/fneur.2021.696492