Literature DB >> 28779553

Very high-frequency oscillations: Novel biomarkers of the epileptogenic zone.

Milan Brázdil1,2, Martin Pail1, Josef Halámek3,4, Filip Plešinger3, Jan Cimbálník4, Robert Roman2, Petr Klimeš3, Pavel Daniel1,2, Jan Chrastina5, Eva Brichtová5, Ivan Rektor1,2, Gregory A Worrell6, Pavel Jurák3,4.   

Abstract

OBJECTIVE: In the present study, we aimed to investigate depth electroencephalographic (EEG) recordings in a large cohort of patients with drug-resistant epilepsy and to focus on interictal very high-frequency oscillations (VHFOs) between 500Hz and 2kHz. We hypothesized that interictal VHFOs are more specific biomarkers for epileptogenic zone compared to traditional HFOs.
METHODS: Forty patients with focal epilepsy who underwent presurgical stereo-EEG (SEEG) were included in the study. SEEG data were recorded with a sampling rate of 25kHz, and a 30-minute resting period was analyzed for each patient. Ten patients met selected criteria for analyses of correlations with surgical outcome: detection of interictal ripples (Rs), fast ripples (FRs), and VHFOs; resective surgery; and at least 1 year of postoperative follow-up. Using power envelope computation and visual inspection of power distribution matrixes, electrode contacts with HFOs and VHFOs were detected and analyzed.
RESULTS: Interictal very fast ripples (VFRs; 500-1,000Hz) were detected in 23 of 40 patients and ultrafast ripples (UFRs; 1,000-2,000Hz) in almost half of investigated subjects (n = 19). VFRs and UFRs were observed only in patients with temporal lobe epilepsy and were recorded exclusively from mesiotemporal structures. The UFRs were more spatially restricted in the brain than lower-frequency HFOs. When compared to R oscillations, significantly better outcomes were observed in patients with a higher percentage of removed contacts containing FRs, VFRs, and UFRs.
INTERPRETATION: Interictal VHFOs are relatively frequent abnormal phenomena in patients with epilepsy, and appear to be more specific biomarkers for epileptogenic zone when compared to traditional HFOs. Ann Neurol 2017;82:299-310.
© 2017 American Neurological Association.

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Year:  2017        PMID: 28779553     DOI: 10.1002/ana.25006

Source DB:  PubMed          Journal:  Ann Neurol        ISSN: 0364-5134            Impact factor:   10.422


  15 in total

Review 1.  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

2.  Fast, Very Fast, Ultrafast, and Even Faster: How High Frequency Should We Be Recording on Intracranial EEG?

Authors:  Rafeed Alkawadri; Lawrence J Hirsch
Journal:  Epilepsy Curr       Date:  2018 Jul-Aug       Impact factor: 7.500

3.  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

4.  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

5.  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

6.  Resection of high frequency oscillations predicts seizure outcome in the individual patient.

Authors:  Tommaso Fedele; Sergey Burnos; Ece Boran; Niklaus Krayenbühl; Peter Hilfiker; Thomas Grunwald; Johannes Sarnthein
Journal:  Sci Rep       Date:  2017-10-23       Impact factor: 4.379

7.  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

8.  Intracerebral EEG Artifact Identification Using Convolutional Neural Networks.

Authors:  Petr Nejedly; Jan Cimbalnik; Petr Klimes; Filip Plesinger; Josef Halamek; Vaclav Kremen; Ivo Viscor; Benjamin H Brinkmann; Martin Pail; Milan Brazdil; Gregory Worrell; Pavel Jurak
Journal:  Neuroinformatics       Date:  2019-04

9.  Exploiting Graphoelements and Convolutional Neural Networks with Long Short Term Memory for Classification of the Human Electroencephalogram.

Authors:  P Nejedly; V Kremen; V Sladky; J Cimbalnik; P Klimes; F Plesinger; I Viscor; M Pail; J Halamek; B H Brinkmann; M Brazdil; P Jurak; G Worrell
Journal:  Sci Rep       Date:  2019-08-06       Impact factor: 4.379

10.  High-frequency oscillations in scalp EEG mirror seizure frequency in pediatric focal epilepsy.

Authors:  Ece Boran; Johannes Sarnthein; Niklaus Krayenbühl; Georgia Ramantani; Tommaso Fedele
Journal:  Sci Rep       Date:  2019-11-12       Impact factor: 4.379

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