Julia Jacobs1, Joyce Y Wu2, Piero Perucca2, Rina Zelmann2, Malenka Mader2, Francois Dubeau2, Gary W Mathern2, Andreas Schulze-Bonhage2, Jean Gotman2. 1. From the Department of Neuropediatrics and Muscular Diseases (J.J., M.M.) and Epilepsy Center (J.J., A.S.-B.), Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, Germany; Division of Pediatric Neurology (J.Y.W., G.W.M.), David Geffen School of Medicine and Mattel Children's Hospital UCLA, Los Angeles, CA; and Montreal Neurological Institute (P.P., R.Z., F.D., J.G.), McGill University, Quebec, Canada. julia.jacobs@gmx.de. 2. From the Department of Neuropediatrics and Muscular Diseases (J.J., M.M.) and Epilepsy Center (J.J., A.S.-B.), Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, Germany; Division of Pediatric Neurology (J.Y.W., G.W.M.), David Geffen School of Medicine and Mattel Children's Hospital UCLA, Los Angeles, CA; and Montreal Neurological Institute (P.P., R.Z., F.D., J.G.), McGill University, Quebec, Canada.
Abstract
OBJECTIVE: To evaluate the use of interictal high-frequency oscillations (HFOs) in epilepsy surgery for prediction of postsurgical seizure outcome in a prospective multicenter trial. METHODS: We hypothesized that a seizure-free outcome could be expected in patients in whom the surgical planning included the majority of HFO-generating brain tissue while a poor seizure outcome could be expected in patients in whom only a few such areas were planned to be resected. Fifty-two patients were included from 3 tertiary epilepsy centers during a 1-year period. Ripples (80-250 Hz) and fast ripples (250-500 Hz) were automatically detected during slow-wave sleep with chronic intracranial EEG in 2 centers and acute intraoperative electrocorticography in 1 patient. RESULTS: There was a correlation between the removal of HFO-generating regions and seizure-free outcome at the group level for all patients. No correlation was found, however, for the center-specific analysis, and an individual prognostication of seizure outcome was true in only 36 patients (67%). Moreover, some patients became seizure-free without removal of the majority of HFO-generating tissue. The investigation of influencing factors, including comparisons of visual and automatic analysis, using a threshold analysis for areas with high HFO activity, and excluding contacts bordering the resection, did not result in improved prognostication. CONCLUSIONS: On an individual patient level, a prediction of outcome was not possible in all patients. This may be due to the analysis techniques used. Alternatively, HFOs may be less specific for epileptic tissue than earlier studies have indicated.
OBJECTIVE: To evaluate the use of interictal high-frequency oscillations (HFOs) in epilepsy surgery for prediction of postsurgical seizure outcome in a prospective multicenter trial. METHODS: We hypothesized that a seizure-free outcome could be expected in patients in whom the surgical planning included the majority of HFO-generating brain tissue while a poor seizure outcome could be expected in patients in whom only a few such areas were planned to be resected. Fifty-two patients were included from 3 tertiary epilepsy centers during a 1-year period. Ripples (80-250 Hz) and fast ripples (250-500 Hz) were automatically detected during slow-wave sleep with chronic intracranial EEG in 2 centers and acute intraoperative electrocorticography in 1 patient. RESULTS: There was a correlation between the removal of HFO-generating regions and seizure-free outcome at the group level for all patients. No correlation was found, however, for the center-specific analysis, and an individual prognostication of seizure outcome was true in only 36 patients (67%). Moreover, some patients became seizure-free without removal of the majority of HFO-generating tissue. The investigation of influencing factors, including comparisons of visual and automatic analysis, using a threshold analysis for areas with high HFO activity, and excluding contacts bordering the resection, did not result in improved prognostication. CONCLUSIONS: On an individual patient level, a prediction of outcome was not possible in all patients. This may be due to the analysis techniques used. Alternatively, HFOs may be less specific for epileptic tissue than earlier studies have indicated.
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
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
Authors: Su Liu; Candan Gurses; Zhiyi Sha; Michael M Quach; Altay Sencer; Nerses Bebek; Daniel J Curry; Sujit Prabhu; Sudhakar Tummala; Thomas R Henry; Nuri F Ince Journal: Brain Date: 2018-03-01 Impact factor: 13.501
Authors: Hisako Fujiwara; Hansel M Greiner; Ki Hyeong Lee; Katherine D Holland-Bouley; Joo Hee Seo; Todd Arthur; Francesco T Mangano; James L Leach; Douglas F Rose Journal: Epilepsia Date: 2012-08-20 Impact factor: 5.864
Authors: Benoît Crépon; Vincent Navarro; Dominique Hasboun; Stéphane Clemenceau; Jacques Martinerie; Michel Baulac; Claude Adam; Michel Le Van Quyen Journal: Brain Date: 2009-11-17 Impact factor: 13.501
Authors: Yvonne Höller; Raoul Kutil; Lukas Klaffenböck; Aljoscha Thomschewski; Peter M Höller; Arne C Bathke; Julia Jacobs; Alexandra C Taylor; Raffaele Nardone; Eugen Trinka Journal: Front Hum Neurosci Date: 2015-10-20 Impact factor: 3.169
Authors: Somin Lee; Naoum P Issa; Sandra Rose; James X Tao; Peter C Warnke; Vernon L Towle; Wim van Drongelen; Shasha Wu Journal: Seizure Date: 2019-05-03 Impact factor: 3.184
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
Authors: Jan Cimbalnik; Petr Klimes; Vladimir Sladky; Petr Nejedly; Pavel Jurak; Martin Pail; Robert Roman; Pavel Daniel; Hari Guragain; Benjamin Brinkmann; Milan Brazdil; Greg Worrell Journal: Clin Neurophysiol Date: 2019-08-05 Impact factor: 3.708
Authors: Krishnakant V Saboo; Irena Balzekas; Vaclav Kremen; Yogatheesan Varatharajah; Michal Kucewicz; Ravishankar K Iyer; Gregory A Worrell Journal: Epilepsia Date: 2021-09-18 Impact factor: 5.864
Authors: Pariya Salami; Noam Peled; Jessica K Nadalin; Louis-Emmanuel Martinet; Mark A Kramer; Jong W Lee; Sydney S Cash Journal: Clin Neurophysiol Date: 2020-05-29 Impact factor: 3.708
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
Authors: Jan Schönberger; Anja Knopf; Kerstin Alexandra Klotz; Matthias Dümpelmann; Andreas Schulze-Bonhage; Julia Jacobs Journal: Brain Sci Date: 2021-04-24