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Assessing Epileptogenicity Using Phase-Locked High Frequency Oscillations: A Systematic Comparison of Methods

High frequency oscillations (HFOs) are traditional biomarkers to identify the epileptogenic tissue during presurgical evaluation in pharmacoresistant epileptic patients. Recently, the resection of brain tissue exhibiting coupling between the amplitude of HFOs and the phase of low frequencies demonst...

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Autores principales: Bandarabadi, Mojtaba, Gast, Heidemarie, Rummel, Christian, Bassetti, Claudio, Adamantidis, Antoine, Schindler, Kaspar, Zubler, Frederic
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6842969/
https://www.ncbi.nlm.nih.gov/pubmed/31749757
http://dx.doi.org/10.3389/fneur.2019.01132
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author Bandarabadi, Mojtaba
Gast, Heidemarie
Rummel, Christian
Bassetti, Claudio
Adamantidis, Antoine
Schindler, Kaspar
Zubler, Frederic
author_facet Bandarabadi, Mojtaba
Gast, Heidemarie
Rummel, Christian
Bassetti, Claudio
Adamantidis, Antoine
Schindler, Kaspar
Zubler, Frederic
author_sort Bandarabadi, Mojtaba
collection PubMed
description High frequency oscillations (HFOs) are traditional biomarkers to identify the epileptogenic tissue during presurgical evaluation in pharmacoresistant epileptic patients. Recently, the resection of brain tissue exhibiting coupling between the amplitude of HFOs and the phase of low frequencies demonstrated a more favorable surgical outcome. Here we compare the predictive value of ictal HFOs and four methods for quantifying the ictal phase-amplitude coupling, namely mean vector length, phase-locked high gamma, phase locking value, and modulation index (MI). We analyzed 32 seizures from 16 patients to identify the channels that exhibit HFOs and phase-locked HFOs during seizures. We compared the resection ratio, defined as the percentage of channels exhibiting coupling located in the resected tissue, with the postsurgical outcome. We found that the MI is the only method to show a significant difference between the resection ratios of patients with good and poor outcomes. We further show that the whole seizure, not only the onset, is critical to assess epileptogenicity using the phase-locked HFOs. We postulate that the superiority of MI stems from its capacity to assess coupling of discrete HFO events and its independence from the HFO power. These results confirm that quantitative analysis of HFOs can boost presurgical evaluation and indicate the paramount importance of algorithm selection for clinical applications.
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spelling pubmed-68429692019-11-20 Assessing Epileptogenicity Using Phase-Locked High Frequency Oscillations: A Systematic Comparison of Methods Bandarabadi, Mojtaba Gast, Heidemarie Rummel, Christian Bassetti, Claudio Adamantidis, Antoine Schindler, Kaspar Zubler, Frederic Front Neurol Neurology High frequency oscillations (HFOs) are traditional biomarkers to identify the epileptogenic tissue during presurgical evaluation in pharmacoresistant epileptic patients. Recently, the resection of brain tissue exhibiting coupling between the amplitude of HFOs and the phase of low frequencies demonstrated a more favorable surgical outcome. Here we compare the predictive value of ictal HFOs and four methods for quantifying the ictal phase-amplitude coupling, namely mean vector length, phase-locked high gamma, phase locking value, and modulation index (MI). We analyzed 32 seizures from 16 patients to identify the channels that exhibit HFOs and phase-locked HFOs during seizures. We compared the resection ratio, defined as the percentage of channels exhibiting coupling located in the resected tissue, with the postsurgical outcome. We found that the MI is the only method to show a significant difference between the resection ratios of patients with good and poor outcomes. We further show that the whole seizure, not only the onset, is critical to assess epileptogenicity using the phase-locked HFOs. We postulate that the superiority of MI stems from its capacity to assess coupling of discrete HFO events and its independence from the HFO power. These results confirm that quantitative analysis of HFOs can boost presurgical evaluation and indicate the paramount importance of algorithm selection for clinical applications. Frontiers Media S.A. 2019-10-23 /pmc/articles/PMC6842969/ /pubmed/31749757 http://dx.doi.org/10.3389/fneur.2019.01132 Text en Copyright © 2019 Bandarabadi, Gast, Rummel, Bassetti, Adamantidis, Schindler and Zubler. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neurology
Bandarabadi, Mojtaba
Gast, Heidemarie
Rummel, Christian
Bassetti, Claudio
Adamantidis, Antoine
Schindler, Kaspar
Zubler, Frederic
Assessing Epileptogenicity Using Phase-Locked High Frequency Oscillations: A Systematic Comparison of Methods
title Assessing Epileptogenicity Using Phase-Locked High Frequency Oscillations: A Systematic Comparison of Methods
title_full Assessing Epileptogenicity Using Phase-Locked High Frequency Oscillations: A Systematic Comparison of Methods
title_fullStr Assessing Epileptogenicity Using Phase-Locked High Frequency Oscillations: A Systematic Comparison of Methods
title_full_unstemmed Assessing Epileptogenicity Using Phase-Locked High Frequency Oscillations: A Systematic Comparison of Methods
title_short Assessing Epileptogenicity Using Phase-Locked High Frequency Oscillations: A Systematic Comparison of Methods
title_sort assessing epileptogenicity using phase-locked high frequency oscillations: a systematic comparison of methods
topic Neurology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6842969/
https://www.ncbi.nlm.nih.gov/pubmed/31749757
http://dx.doi.org/10.3389/fneur.2019.01132
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