Literature DB >> 31569042

Prospective observational study: Fast ripple localization delineates the epileptogenic zone.

Hiroki Nariai1, Shaun A Hussain2, Danilo Bernardo2, Aria Fallah3, Kristina K Murata2, Jimmy C Nguyen2, Rajsekar R Rajaraman2, Lekha M Rao2, Joyce H Matsumoto2, Jason T Lerner2, Noriko Salamon4, David Elashoff5, Raman Sankar2, Joyce Y Wu2.   

Abstract

OBJECTIVE: To investigate spatial correlation between interictal HFOs and neuroimaging abnormalities, and to determine if complete removal of prospectively identified interictal HFOs correlates with post-surgical seizure-freedom.
METHODS: Interictal fast ripples (FRs: 250-500 Hz) in 19 consecutive children with pharmacoresistant focal epilepsy who underwent extra-operative electrocorticography (ECoG) recording were prospectively analyzed. The interictal FRs were sampled at 2000 Hz and were visually identified during 10 min of slow wave sleep. Interictal FRs, MRI and FDG-PET were delineated on patient-specific reconstructed three-dimensional brain MRI.
RESULTS: Interictal FRs were observed in all patients except one. Thirteen out of 18 patients (72%) exhibited FRs beyond the extent of neuroimaging abnormalities. Fifteen of 19 children underwent resective surgery, and survival analysis with log-rank test demonstrated that complete resection of cortical sites showing interictal FRs correlated with longer post-operative seizure-freedom (p < 0.01). Complete resection of seizure onset zones (SOZ) also correlated with longer post-operative seizure-freedom (p = 0.01), yet complete resection of neuroimaging abnormalities did not (p = 0.43).
CONCLUSIONS: Prospective visual analysis of interictal FRs was feasible, and it seemed to accurately localize epileptogenic zones. SIGNIFICANCE: Topological extent of epileptogenic region may exceed what is discernible by multimodal neuroimaging.
Copyright © 2019 International Federation of Clinical Neurophysiology. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Epilepsy surgery; FR; HFO; High frequency oscillations; Ripple

Mesh:

Year:  2019        PMID: 31569042     DOI: 10.1016/j.clinph.2019.08.026

Source DB:  PubMed          Journal:  Clin Neurophysiol        ISSN: 1388-2457            Impact factor:   3.708


  6 in total

1.  Protocol for multicentre comparison of interictal high-frequency oscillations as a predictor of seizure freedom.

Authors:  Vasileios Dimakopoulos; Jean Gotman; William Stacey; Nicolás von Ellenrieder; Julia Jacobs; Christos Papadelis; Jan Cimbalnik; Gregory Worrell; Michael R Sperling; Maike Zijlmans; Lucas Imbach; Birgit Frauscher; Johannes Sarnthein
Journal:  Brain Commun       Date:  2022-06-09

2.  Novel User-Friendly Application for MRI Segmentation of Brain Resection following Epilepsy Surgery.

Authors:  Roberto Billardello; Georgios Ntolkeras; Assia Chericoni; Joseph R Madsen; Christos Papadelis; Phillip L Pearl; Patricia Ellen Grant; Fabrizio Taffoni; Eleonora Tamilia
Journal:  Diagnostics (Basel)       Date:  2022-04-18

3.  An electronic neuromorphic system for real-time detection of high frequency oscillations (HFO) in intracranial EEG.

Authors:  Mohammadali Sharifshazileh; Karla Burelo; Johannes Sarnthein; Giacomo Indiveri
Journal:  Nat Commun       Date:  2021-05-25       Impact factor: 14.919

4.  Refining epileptogenic high-frequency oscillations using deep learning: a reverse engineering approach.

Authors:  Yipeng Zhang; Qiujing Lu; Tonmoy Monsoor; Shaun A Hussain; Joe X Qiao; Noriko Salamon; Aria Fallah; Myung Shin Sim; Eishi Asano; Raman Sankar; Richard J Staba; Jerome Engel; William Speier; Vwani Roychowdhury; Hiroki Nariai
Journal:  Brain Commun       Date:  2021-11-03

Review 5.  Automatic Detection of High-Frequency Oscillations With Neuromorphic Spiking Neural Networks.

Authors:  Karla Burelo; Mohammadali Sharifshazileh; Giacomo Indiveri; Johannes Sarnthein
Journal:  Front Neurosci       Date:  2022-06-02       Impact factor: 5.152

6.  Application of a convolutional neural network for fully-automated detection of spike ripples in the scalp electroencephalogram.

Authors:  Jessica K Nadalin; Uri T Eden; Xue Han; R Mark Richardson; Catherine J Chu; Mark A Kramer
Journal:  J Neurosci Methods       Date:  2021-06-04       Impact factor: 2.987

  6 in total

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