Literature DB >> 29532041

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

Fatemeh Khadjevand1, Jan Cimbalnik1,2, Gregory A Worrell1,3.   

Abstract

High-frequency oscillations (HFOs: 100 - 600 Hz) have been widely proposed as biomarkers of epileptic brain tissue. In addition, HFOs over a broader range of frequencies spanning 30 - 2000 Hz are potential biomarkers of both physiological and pathological brain processes. The majority of the results from humans with focal epilepsy have focused on HFOs recorded directly from the brain with intracranial EEG (iEEG) in the high gamma (65 - 100 Hz), ripple (100 - 250 Hz), and fast ripple (250 - 600 Hz) frequency ranges. These results are supplemented by reports of HFOs recorded with iEEG in the low gamma (30 - 65Hz) and very high frequency (500 - 2000 Hz) ranges. Visual detection of HFOs is laborious and limited by poor inter-rater agreement; and the need for accurate, reproducible automated HFOs detection is well recognized. In particular, the clinical translation of HFOs as a biomarker of the epileptogenic brain has been limited by the ability to reliably detect and accurately classify HFOs as physiological or pathological. Despite these challenges, there has been significant progress in the field, which is the subject of this review. Furthermore, we provide data and corresponding analytic code in an effort to promote reproducible research and accelerate clinical translation.

Entities:  

Year:  2017        PMID: 29532041      PMCID: PMC5844503          DOI: 10.1016/j.cobme.2017.09.006

Source DB:  PubMed          Journal:  Curr Opin Biomed Eng        ISSN: 2468-4511


  84 in total

1.  Electrocorticographic high gamma activity versus electrical cortical stimulation mapping of naming.

Authors:  Alon Sinai; Christopher W Bowers; Ciprian M Crainiceanu; Dana Boatman; Barry Gordon; Ronald P Lesser; Frederick A Lenz; Nathan E Crone
Journal:  Brain       Date:  2005-04-07       Impact factor: 13.501

2.  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

3.  High frequency oscillations are less frequent but more specific to epileptogenicity during rapid eye movement sleep.

Authors:  Rie Sakuraba; Masaki Iwasaki; Eiichi Okumura; Kazutaka Jin; Yosuke Kakisaka; Kazuhiro Kato; Teiji Tominaga; Nobukazu Nakasato
Journal:  Clin Neurophysiol       Date:  2015-05-30       Impact factor: 3.708

4.  Evoked versus spontaneous high frequency oscillations in the chronic electrocorticogram in focal epilepsy.

Authors:  M A van 't Klooster; N E C van Klink; D van Blooijs; C H Ferrier; K P J Braun; F S S Leijten; G J M Huiskamp; M Zijlmans
Journal:  Clin Neurophysiol       Date:  2017-02-06       Impact factor: 3.708

Review 5.  High frequency oscillations in the intact brain.

Authors:  György Buzsáki; Fernando Lopes da Silva
Journal:  Prog Neurobiol       Date:  2012-03-17       Impact factor: 11.685

Review 6.  A possible role for gap junctions in generation of very fast EEG oscillations preceding the onset of, and perhaps initiating, seizures.

Authors:  R D Traub; M A Whittington; E H Buhl; F E LeBeau; A Bibbig; S Boyd; H Cross; T Baldeweg
Journal:  Epilepsia       Date:  2001-02       Impact factor: 5.864

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

Authors:  Yutaka Nonoda; Makoto Miyakoshi; Alejandro Ojeda; Scott Makeig; Csaba Juhász; Sandeep Sood; Eishi Asano
Journal:  Clin Neurophysiol       Date:  2016-04-06       Impact factor: 3.708

8.  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

9.  Human and automated detection of high-frequency oscillations in clinical intracranial EEG recordings.

Authors:  Andrew B Gardner; Greg A Worrell; Eric Marsh; Dennis Dlugos; Brian Litt
Journal:  Clin Neurophysiol       Date:  2007-03-23       Impact factor: 3.708

10.  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

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  5 in total

1.  Multi-feature localization of epileptic foci from interictal, intracranial EEG.

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

2.  Double-Step Machine Learning Based Procedure for HFOs Detection and Classification.

Authors:  Nicolina Sciaraffa; Manousos A Klados; Gianluca Borghini; Gianluca Di Flumeri; Fabio Babiloni; Pietro Aricò
Journal:  Brain Sci       Date:  2020-04-08

3.  Detection of anomalous high-frequency events in human intracranial EEG.

Authors:  Krit Charupanit; Indranil Sen-Gupta; Jack J Lin; Beth A Lopour
Journal:  Epilepsia Open       Date:  2020-05-20

4.  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

5.  Distinguishing false and true positive detections of high frequency oscillations.

Authors:  Stephen V Gliske; Zihan Qin; Katy Lau; Catalina Alvarado-Rojas; Pariya Salami; Rina Zelmann; William C Stacey
Journal:  J Neural Eng       Date:  2020-10-09       Impact factor: 5.379

  5 in total

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