Literature DB >> 28644979

Intraoperative fast ripples independently predict postsurgical epilepsy outcome: Comparison with other electrocorticographic phenomena.

Shaun A Hussain1, Gary W Mathern2, Phoebe Hung3, Julius Weng3, Raman Sankar4, Joyce Y Wu3.   

Abstract

In the surgical management of epilepsy, the resection of cortex exhibiting interictal fast ripples (250-500Hz) on electrocorticography has been linked to postoperative seizure-freedom. Although fast ripples appear to accurately identify the epileptogenic zone-the minimum tissue that must be removed at surgery to achieve seizure-freedom-it has not been established that fast ripples are a superior biomarker in comparison with multimodal presurgical neuroimaging and other electrocorticography abnormalities. Hence, in the prediction of postoperative seizure-freedom, we compared the value of fast ripples with other intraoperative electocorticography abnormalities including focal slowing, paroxysmal fast activity, intermittent spike discharges, continuous epileptiform discharges, focal attenuation, and intraoperative seizures, as well as complete resection of the lesion defined by MRI and other neuroimaging. In a cohort of 60 children with lesional epilepsy and median postsurgical follow-up exceeding 4 years, who underwent resective epilepsy surgery with intraoperative electrocorticography, we evaluated the extent to which removal of each intraoperative electrocorticography abnormality impacts time to first postoperative seizure using the Kaplan-Meier method and Cox proportional hazards regression. Secondly, we contrasted the predictive value of resection of each competing electrocorticography abnormality using standard test metrics (sensitivity, specificity, positive predictive value, and negative predictive value). In contrast with all other intraoperative electrocorticography abnormalities, fast ripples demonstrated the most favorable combination of positive predictive value (100%) and negative predictive value (76%) in the prediction of postoperative seizures. Among all candidate electrocorticography features, time to first postoperative seizure was most strongly associated with incomplete resection of fast ripples (hazard ratio=19.8, p<0.001). In multivariate survival analyses, postoperative seizures were independently predicted by incomplete resection of cortex generating fast ripples (hazard ratio=25.4, 95%CI 6.71-96.0, p<0.001) and focal slowing (hazard ratio=5.79, 95%CI 1.76-19.0, p=0.004), even after adjustment for the impact of an otherwise complete resection. All children with incomplete resection of interictal FR-generating cortex exhibited postoperative seizures within six months. Notably, this cohort included many patients with large resections and thus limited opportunity to exhibit unresected fast ripples. Future study in a cohort with small resection volume, or a clinical trial in which resection margins are guided by fast ripple distribution, would likely yield a more precise estimate of the risk posed by unresected fast ripples. With a high detection rate during brief intraoperative electrocorticography and favorable positive and negative predictive value, interictal fast ripple characterization during surgery is a feasible and useful adjunct to standard methods for epilepsy surgery planning, and represents a valuable spatially-localizing biomarker of the epileptogenic zone, without the need for prolonged extraoperative electrocorticography.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Biomarker; EEG; Epilepsy surgery; High frequency oscillation; Intraoperative electrocorticography; Seizure outcome

Mesh:

Year:  2017        PMID: 28644979      PMCID: PMC5568451          DOI: 10.1016/j.eplepsyres.2017.06.010

Source DB:  PubMed          Journal:  Epilepsy Res        ISSN: 0920-1211            Impact factor:   3.045


  36 in total

1.  Removing interictal fast ripples on electrocorticography linked with seizure freedom in children.

Authors:  J Y Wu; R Sankar; J T Lerner; J H Matsumoto; H V Vinters; G W Mathern
Journal:  Neurology       Date:  2010-10-06       Impact factor: 9.910

2.  Differentiation of specific ripple patterns helps to identify epileptogenic areas for surgical procedures.

Authors:  Karolin Kerber; Matthias Dümpelmann; Björn Schelter; Pierre Le Van; Rudolf Korinthenberg; Andreas Schulze-Bonhage; Julia Jacobs
Journal:  Clin Neurophysiol       Date:  2013-12-06       Impact factor: 3.708

3.  Resection of individually identified high-rate high-frequency oscillations region is associated with favorable outcome in neocortical epilepsy.

Authors:  Jounhong Ryan Cho; Dae Lim Koo; Eun Yeon Joo; Dae Won Seo; Seung-Chyul Hong; Premysl Jiruska; Seung Bong Hong
Journal:  Epilepsia       Date:  2014-09-29       Impact factor: 5.864

4.  Detectability of Fast Ripples (>250 Hz) on the Scalp EEG: A Proof-of-Principle Study with Subdermal Electrodes.

Authors:  Francesca Pizzo; Birgit Frauscher; Taissa Ferrari-Marinho; Mina Amiri; Francois Dubeau; Jean Gotman
Journal:  Brain Topogr       Date:  2016-02-26       Impact factor: 3.020

5.  Automatic detection of high frequency oscillations during epilepsy surgery predicts seizure outcome.

Authors:  Tommaso Fedele; Maryse van 't Klooster; Sergey Burnos; Willemiek Zweiphenning; Nicole van Klink; Frans Leijten; Maeike Zijlmans; Johannes Sarnthein
Journal:  Clin Neurophysiol       Date:  2016-06-18       Impact factor: 3.708

6.  Focal resection of fast ripples on extraoperative intracranial EEG improves seizure outcome in pediatric epilepsy.

Authors:  Tomoyuki Akiyama; Bláthnaid McCoy; Cristina Y Go; Ayako Ochi; Irene M Elliott; Mari Akiyama; Elizabeth J Donner; Shelly K Weiss; O Carter Snead; James T Rutka; James M Drake; Hiroshi Otsubo
Journal:  Epilepsia       Date:  2011-07-29       Impact factor: 5.864

7.  High-frequency electroencephalographic oscillations correlate with outcome of epilepsy surgery.

Authors:  Julia Jacobs; Maeike Zijlmans; Rina Zelmann; Claude-Edouard Chatillon; Jeffrey Hall; André Olivier; François Dubeau; Jean Gotman
Journal:  Ann Neurol       Date:  2010-02       Impact factor: 10.422

8.  Prospective and "live" fast ripple detection and localization in the operating room: Impact on epilepsy surgery outcomes in children.

Authors:  Shaun A Hussain; Gary W Mathern; Raman Sankar; Joyce Y Wu
Journal:  Epilepsy Res       Date:  2016-09-23       Impact factor: 3.045

9.  Complications of subdural and depth electrodes in 269 patients undergoing 317 procedures for invasive monitoring in epilepsy.

Authors:  Richard F Schmidt; Chengyuan Wu; Michael J Lang; Pranay Soni; Kim A Williams; David W Boorman; James J Evans; Michael R Sperling; Ashwini D Sharan
Journal:  Epilepsia       Date:  2016-08-23       Impact factor: 5.864

10.  Pathological and physiological high-frequency oscillations in focal human epilepsy.

Authors:  Andrew Matsumoto; Benjamin H Brinkmann; S Matthew Stead; Joseph Matsumoto; Michal T Kucewicz; W Richard Marsh; Frederic Meyer; Gregory Worrell
Journal:  J Neurophysiol       Date:  2013-08-07       Impact factor: 2.714

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  8 in total

1.  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

2.  Graph theoretical measures of fast ripples support the epileptic network hypothesis.

Authors:  Shennan A Weiss; Tomas Pastore; Iren Orosz; Daniel Rubinstein; Richard Gorniak; Zachary Waldman; Itzhak Fried; Chengyuan Wu; Ashwini Sharan; Diego Slezak; Gregory Worrell; Jerome Engel; Michael R Sperling; Richard J Staba
Journal:  Brain Commun       Date:  2022-04-20

3.  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

4.  Pathological high frequency oscillations associate with increased GABA synaptic activity in pediatric epilepsy surgery patients.

Authors:  Carlos Cepeda; Simon Levinson; Hiroki Nariai; Vannah-Wila Yazon; Conny Tran; Joshua Barry; Katerina D Oikonomou; Harry V Vinters; Aria Fallah; Gary W Mathern; Joyce Y Wu
Journal:  Neurobiol Dis       Date:  2019-10-17       Impact factor: 5.996

5.  Removing high-frequency oscillations: A prospective multicenter study on seizure outcome.

Authors:  Julia Jacobs; Joyce Y Wu; Piero Perucca; Rina Zelmann; Malenka Mader; Francois Dubeau; Gary W Mathern; Andreas Schulze-Bonhage; Jean Gotman
Journal:  Neurology       Date:  2018-08-17       Impact factor: 9.910

6.  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

7.  Determining the Quantitative Threshold of High-Frequency Oscillation Distribution to Delineate the Epileptogenic Zone by Automated Detection.

Authors:  Chenxi Jiang; Xiaonan Li; Jiaqing Yan; Tao Yu; Xueyuan Wang; Zhiwei Ren; Donghong Li; Chang Liu; Wei Du; Xiaoxia Zhou; Yue Xing; Guoping Ren; Guojun Zhang; Xiaofeng Yang
Journal:  Front Neurol       Date:  2018-11-13       Impact factor: 4.003

8.  Accuracy of high-frequency oscillations recorded intraoperatively for classification of epileptogenic regions.

Authors:  Shennan A Weiss; Richard J Staba; Ashwini Sharan; Chengyuan Wu; Daniel Rubinstein; Sandhitsu Das; Zachary Waldman; Iren Orosz; Gregory Worrell; Jerome Engel; Michael R Sperling
Journal:  Sci Rep       Date:  2021-11-01       Impact factor: 4.379

  8 in total

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