Literature DB >> 27178869

Interictal high-frequency oscillations generated by seizure onset and eloquent areas may be differentially coupled with different slow waves.

Yutaka Nonoda1, Makoto Miyakoshi2, Alejandro Ojeda2, Scott Makeig2, Csaba Juhász3, Sandeep Sood4, Eishi Asano5.   

Abstract

OBJECTIVE: High-frequency oscillations (HFOs) can be spontaneously generated by seizure-onset and functionally-important areas. We determined if consideration of the spectral frequency bands of coupled slow-waves could distinguish between epileptogenic and physiological HFOs.
METHODS: We studied a consecutive series of 13 children with focal epilepsy who underwent extraoperative electrocorticography. We measured the occurrence rate of HFOs during slow-wave sleep at each electrode site. We subsequently determined the performance of HFO rate for localization of seizure-onset sites and undesirable detection of nonepileptic sensorimotor-visual sites defined by neurostimulation. We likewise determined the predictive performance of modulation index: MI(XHz)&(YHz), reflecting the strength of coupling between amplitude of HFOsXHz and phase of slow-waveYHz. The predictive accuracy was quantified using the area under the curve (AUC) on receiver-operating characteristics analysis.
RESULTS: Increase in HFO rate localized seizure-onset sites (AUC⩾0.72; p<0.001), but also undesirably detected nonepileptic sensorimotor-visual sites (AUC⩾0.58; p<0.001). Increase in MI(HFOs)&amp;(3-4Hz) also detected both seizure-onset (AUC⩾0.74; p<0.001) and nonepileptic sensorimotor-visual sites (AUC⩾0.59; p<0.001). Increase in subtraction-MIHFOs [defined as subtraction of MI(HFOs)&amp;(0.5-1Hz) from MI(HFOs)&amp;(3-4Hz)] localized seizure-onset sites (AUC⩾0.71; p<0.001), but rather avoided detection of nonepileptic sensorimotor-visual sites (AUC⩽0.42; p<0.001).
CONCLUSION: Our data suggest that epileptogenic HFOs may be coupled with slow-wave3-4Hz more preferentially than slow-wave0.5-1Hz, whereas physiologic HFOs with slow-wave0.5-1Hz more preferentially than slow-wave3-4Hz during slow-wave sleep. SIGNIFICANCE: Further studies in larger samples are warranted to determine if consideration of the spectral frequency bands of slow-waves coupled with HFOs can positively contribute to presurgical evaluation of patients with focal epilepsy.
Copyright © 2016 International Federation of Clinical Neurophysiology. Published by Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  EEGLAB; High-gamma activity; Intracranial electrocorticography (ECoG) recording; Neurophysiology; Pathological and physiological high-frequency oscillations (HFOs); Pediatric epilepsy surgery; Phase–amplitude coupling; Receiver-operating characteristics (ROC) curve; Ripples; Subdural electroencephalography (EEG); Subtraction modulation index co-registered to MRI (SMICOM)

Mesh:

Year:  2016        PMID: 27178869      PMCID: PMC4867192          DOI: 10.1016/j.clinph.2016.03.022

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


  76 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.  Rapid eye movement sleep reveals epileptogenic spikes for resective surgery in children with generalized interictal discharges.

Authors:  Kazuo Okanari; Shiro Baba; Hiroshi Otsubo; Elysa Widjaja; Satoru Sakuma; Cristina Y Go; Kevin C Jones; Kazuki Nishioka; Shimpei Oba; Tasuku Matsui; Makoto Ueno; Shogo Ukitsu; James T Rutka; James M Drake; Elizabeth J Donner; Shelly K Weiss; O Carter Snead; Ayako Ochi
Journal:  Epilepsia       Date:  2015-07-15       Impact factor: 5.864

3.  An information-maximization approach to blind separation and blind deconvolution.

Authors:  A J Bell; T J Sejnowski
Journal:  Neural Comput       Date:  1995-11       Impact factor: 2.026

4.  Spontaneous high-gamma band activity reflects functional organization of auditory cortex in the awake macaque.

Authors:  Makoto Fukushima; Richard C Saunders; David A Leopold; Mortimer Mishkin; Bruno B Averbeck
Journal:  Neuron       Date:  2012-06-07       Impact factor: 17.173

5.  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

6.  Data mining neocortical high-frequency oscillations in epilepsy and controls.

Authors:  Justin A Blanco; Matt Stead; Abba Krieger; William Stacey; Douglas Maus; Eric Marsh; Jonathan Viventi; Kendall H Lee; Richard Marsh; Brian Litt; Gregory A Worrell
Journal:  Brain       Date:  2011-09-08       Impact factor: 13.501

7.  Mechanisms of long-lasting hyperpolarizations underlying slow sleep oscillations in cat corticothalamic networks.

Authors:  D Contreras; I Timofeev; M Steriade
Journal:  J Physiol       Date:  1996-07-01       Impact factor: 5.182

8.  Mapping interictal oscillations greater than 200 Hz recorded with intracranial macroelectrodes in human epilepsy.

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

9.  Short-latency median-nerve somatosensory-evoked potentials and induced gamma-oscillations in humans.

Authors:  Miho Fukuda; Masaaki Nishida; Csaba Juhász; Otto Muzik; Sandeep Sood; Harry T Chugani; Eishi Asano
Journal:  Brain       Date:  2008-05-27       Impact factor: 13.501

10.  Universal automated high frequency oscillation detector for real-time, long term EEG.

Authors:  Stephen V Gliske; Zachary T Irwin; Kathryn A Davis; Kinshuk Sahaya; Cynthia Chestek; William C Stacey
Journal:  Clin Neurophysiol       Date:  2015-07-22       Impact factor: 3.708

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  31 in total

1.  Integrating artificial intelligence with real-time intracranial EEG monitoring to automate interictal identification of seizure onset zones in focal epilepsy.

Authors:  Yogatheesan Varatharajah; Brent Berry; Jan Cimbalnik; Vaclav Kremen; Jamie Van Gompel; Matt Stead; Benjamin Brinkmann; Ravishankar Iyer; Gregory Worrell
Journal:  J Neural Eng       Date:  2018-06-01       Impact factor: 5.379

Review 2.  DC shifts, high frequency oscillations, ripples and fast ripples in relation to the seizure onset zone.

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

Review 3.  High-frequency oscillations: The state of clinical research.

Authors:  Birgit Frauscher; Fabrice Bartolomei; Katsuhiro Kobayashi; Jan Cimbalnik; Maryse A van 't Klooster; Stefan Rampp; Hiroshi Otsubo; Yvonne Höller; Joyce Y Wu; Eishi Asano; Jerome Engel; Philippe Kahane; Julia Jacobs; Jean Gotman
Journal:  Epilepsia       Date:  2017-06-30       Impact factor: 5.864

4.  Brain network dynamics in the human articulatory loop.

Authors:  Masaaki Nishida; Anna Korzeniewska; Nathan E Crone; Goichiro Toyoda; Yasuo Nakai; Noa Ofen; Erik C Brown; Eishi Asano
Journal:  Clin Neurophysiol       Date:  2017-05-17       Impact factor: 3.708

5.  High-frequency oscillations are under your control. Don't chase all of them.

Authors:  Eishi Asano
Journal:  Clin Neurophysiol       Date:  2017-02-20       Impact factor: 3.708

6.  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

7.  Stereotyped high-frequency oscillations discriminate seizure onset zones and critical functional cortex in focal epilepsy.

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

8.  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

9.  Scalp EEG interictal high frequency oscillations as an objective biomarker of infantile spasms.

Authors:  Hiroki Nariai; Shaun A Hussain; Danilo Bernardo; Hirotaka Motoi; Masaki Sonoda; Naoto Kuroda; Eishi Asano; Jimmy C Nguyen; David Elashoff; Raman Sankar; Anatol Bragin; Richard J Staba; Joyce Y Wu
Journal:  Clin Neurophysiol       Date:  2020-09-03       Impact factor: 3.708

10.  Measuring transient phase-amplitude coupling using local mutual information.

Authors:  Ramón Martínez-Cancino; Joseph Heng; Arnaud Delorme; Ken Kreutz-Delgado; Roberto C Sotero; Scott Makeig
Journal:  Neuroimage       Date:  2018-10-18       Impact factor: 6.556

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