Literature DB >> 28412559

Interictal ripples nested in epileptiform discharge help to identify the epileptogenic zone in neocortical epilepsy.

Shuang Wang1, Norman K So2, Bo Jin3, Irene Z Wang4, Juan C Bulacio4, Rei Enatsu4, Shenyi Dai5, Zhong Chen3, Jorge Gonzalez-Martinez4, Imad M Najm4.   

Abstract

OBJECTIVE: This study aimed to identify the subtype of interictal ripples that help delineate the epileptogenic zone in neocortical epilepsy.
METHODS: Totally 25 patients with focal neocortical epilepsy who had invasive electroencephalography (EEG) evaluation and subsequent surgery were included. They were followed up for at least 2years. Interictal ripples (80-250Hz) and fast ripples (250-500Hz) during slow-wave sleep were identified. Neocortical ripples were defined as type I ripples when they were superimposed on epileptiform discharges, and as type II ripples when they occurred independently. Resection ratio was calculated to present the extent to which the cortical area showing an interictal event or the seizure onset zone (SOZ) was completely removed.
RESULTS: Fast ripples and types I and II ripples were found in 8, 19, and 21 patients, respectively. Only the higher resection ratio of interictal fast or type I ripples was correlated to the Engel 1a surgical outcome.
CONCLUSIONS: Type I ripples could assist in localizing the epileptogenic zone in neocortical epilepsy. SIGNIFICANCE: Type I and fast ripples both may be pathological high-frequency oscillations.
Copyright © 2017 International Federation of Clinical Neurophysiology. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Epileptiform discharge; Epileptogenic zone; High-frequency oscillation; Neocortical epilepsy; Ripple

Mesh:

Year:  2017        PMID: 28412559     DOI: 10.1016/j.clinph.2017.03.033

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


  14 in total

1.  Magnetoencephalography imaging of high frequency oscillations strengthens presurgical localization and outcome prediction.

Authors:  Jayabal Velmurugan; Srikantan S Nagarajan; Narayanan Mariyappa; Ravindranadh C Mundlamuri; Kenchaiah Raghavendra; Rose Dawn Bharath; Jitender Saini; Arimappamagan Arivazhagan; Jamuna Rajeswaran; Anita Mahadevan; Bhaskara Rao Malla; Parthasarathy Satishchandra; Sanjib Sinha
Journal:  Brain       Date:  2019-11-01       Impact factor: 13.501

Review 2.  Localizing epileptogenic regions using high-frequency oscillations and machine learning.

Authors:  Shennan A Weiss; Zachary Waldman; Federico Raimondo; Diego Slezak; Mustafa Donmez; Gregory Worrell; Anatol Bragin; Jerome Engel; Richard Staba; Michael Sperling
Journal:  Biomark Med       Date:  2019-05-02       Impact factor: 2.851

3.  Progress and Remaining Challenges in the Application of High Frequency Oscillations as Biomarkers of Epileptic Brain.

Authors:  Fatemeh Khadjevand; Jan Cimbalnik; Gregory A Worrell
Journal:  Curr Opin Biomed Eng       Date:  2017-09-22

4.  Microscale dynamics of electrophysiological markers of epilepsy.

Authors:  Jimmy C Yang; Angelique C Paulk; Pariya Salami; Sang Heon Lee; Mehran Ganji; Daniel J Soper; Daniel Cleary; Mirela Simon; Douglas Maus; Jong Woo Lee; Brian V Nahed; Pamela S Jones; Daniel P Cahill; Garth Rees Cosgrove; Catherine J Chu; Ziv Williams; Eric Halgren; Shadi Dayeh; Sydney S Cash
Journal:  Clin Neurophysiol       Date:  2021-08-02       Impact factor: 4.861

5.  Beyond rates: time-varying dynamics of high frequency oscillations as a biomarker of the seizure onset zone.

Authors:  Michael D Nunez; Krit Charupanit; Indranil Sen-Gupta; Beth A Lopour; Jack J Lin
Journal:  J Neural Eng       Date:  2022-02-22       Impact factor: 5.043

6.  Phase-amplitude coupling between interictal high-frequency activity and slow waves in epilepsy surgery.

Authors:  Hirotaka Motoi; Makoto Miyakoshi; Taylor J Abel; Jeong-Won Jeong; Yasuo Nakai; Ayaka Sugiura; Aimee F Luat; Rajkumar Agarwal; Sandeep Sood; Eishi Asano
Journal:  Epilepsia       Date:  2018-08-26       Impact factor: 5.864

7.  Modulation of locomotor behaviors by location-specific epileptic spiking and seizures.

Authors:  Joseph R Geraghty; Danielle Senador; Biswajit Maharathi; Mitchell P Butler; Deepshika Sudhakar; Rachael A Smith; Yichao Wu; Jeffrey A Loeb
Journal:  Epilepsy Behav       Date:  2020-12-10       Impact factor: 2.937

8.  Identifying the Epileptogenic Zone With the Relative Strength of High-Frequency Oscillation: A Stereoelectroencephalography Study.

Authors:  Lei Qi; Xing Fan; Xiaorong Tao; Qi Chai; Kai Zhang; Fangang Meng; Wenhan Hu; Lin Sang; Xiaoli Yang; Hui Qiao
Journal:  Front Hum Neurosci       Date:  2020-06-09       Impact factor: 3.169

9.  Integrated Automatic Detection, Classification and Imaging of High Frequency Oscillations With Stereoelectroencephalography.

Authors:  Baotian Zhao; Wenhan Hu; Chao Zhang; Xiu Wang; Yao Wang; Chang Liu; Jiajie Mo; Xiaoli Yang; Lin Sang; Yanshan Ma; Xiaoqiu Shao; Kai Zhang; Jianguo Zhang
Journal:  Front Neurosci       Date:  2020-06-04       Impact factor: 4.677

10.  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

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