Literature DB >> 31101405

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

Somin Lee1, Naoum P Issa2, Sandra Rose2, James X Tao2, Peter C Warnke3, Vernon L Towle4, Wim van Drongelen5, Shasha Wu6.   

Abstract

Efforts to improve epilepsy surgery outcomes have led to increased interest in the study of electroencephalographic oscillations outside the conventional EEG bands. These include fast activity above the gamma band, known as high frequency oscillations (HFOs), and infraslow activity (ISA) below the delta band, sometimes referred to as direct current (DC) or ictal baseline shifts (IBS). HFOs in particular have been extensively studied as potential biomarkers for epileptogenic tissue in light of evidence showing that resection of brain tissue containing HFOs is associated with good surgical outcomes. Not all HFOs are conclusively pathological, however, as they can be recorded in nonepileptic tissue and induced by cognitive, visual, or motor tasks. Consequently, efforts to distinguish between pathological and physiological HFOs have identified several traits specific to pathological HFOs, such as coupling with interictal spikes, association with delta waves, and stereotypical morphologies. On the opposite end of the EEG spectrum, sub-delta oscillations have been shown to co-localize with the seizure onset zones (SOZ) and appear in a narrower spatial distribution than activity in the conventional EEG frequency bands. In this report, we review studies that implicate HFOs and ISA in ictogenesis and discuss current limitations such as inter-observer variability and poor standardization of recording techniques. Furthermore, we propose that HFOs and ISA should be analyzed in addition to activity in the conventional EEG band during intracranial presurgical EEG monitoring to identify the best possible surgical margin.
Copyright © 2019 British Epilepsy Association. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Epilepsy surgery; Epileptogenic zone; Ictal baseline shift; Infra slow activity; Seizure onset zone

Mesh:

Year:  2019        PMID: 31101405      PMCID: PMC6825882          DOI: 10.1016/j.seizure.2019.05.001

Source DB:  PubMed          Journal:  Seizure        ISSN: 1059-1311            Impact factor:   3.184


  59 in total

Review 1.  Presurgical evaluation of epilepsy.

Authors:  F Rosenow; H Lüders
Journal:  Brain       Date:  2001-09       Impact factor: 13.501

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

Authors:  Milan Brázdil; Martin Pail; Josef Halámek; Filip Plešinger; Jan Cimbálník; Robert Roman; Petr Klimeš; Pavel Daniel; Jan Chrastina; Eva Brichtová; Ivan Rektor; Gregory A Worrell; Pavel Jurák
Journal:  Ann Neurol       Date:  2017-08       Impact factor: 10.422

3.  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

4.  Intracranial EEG seizure onset-patterns correlate with high-frequency oscillations in patients with drug-resistant epilepsy.

Authors:  Taissa Ferrari-Marinho; Piero Perucca; Francois Dubeau; Jean Gotman
Journal:  Epilepsy Res       Date:  2016-09-06       Impact factor: 3.045

5.  High frequency oscillations in the intra-operative ECoG to guide epilepsy surgery ("The HFO Trial"): study protocol for a randomized controlled trial.

Authors:  Maryse A van 't Klooster; Frans S S Leijten; Geertjan Huiskamp; Hanneke E Ronner; Johannes C Baayen; Peter C van Rijen; Martinus J C Eijkemans; Kees P J Braun; Maeike Zijlmans
Journal:  Trials       Date:  2015-09-23       Impact factor: 2.279

6.  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

7.  Ripple classification helps to localize the seizure-onset zone in neocortical epilepsy.

Authors:  Shuang Wang; Irene Z Wang; Juan C Bulacio; John C Mosher; Jorge Gonzalez-Martinez; Andreas V Alexopoulos; Imad M Najm; Norman K So
Journal:  Epilepsia       Date:  2012-10-25       Impact factor: 5.864

8.  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

9.  Tailoring epilepsy surgery with fast ripples in the intraoperative electrocorticogram.

Authors:  Maryse A van 't Klooster; Nicole E C van Klink; Willemiek J E M Zweiphenning; Frans S S Leijten; Rina Zelmann; Cyrille H Ferrier; Peter C van Rijen; Willem M Otte; Kees P J Braun; Geertjan J M Huiskamp; Maeike Zijlmans
Journal:  Ann Neurol       Date:  2017-05       Impact factor: 10.422

10.  Seizure localization using ictal phase-locked high gamma: A retrospective surgical outcome study.

Authors:  Shennan A Weiss; Athena Lemesiou; Robert Connors; Garrett P Banks; Guy M McKhann; Robert R Goodman; Binsheng Zhao; Christopher G Filippi; Mark Nowell; Roman Rodionov; Beate Diehl; Andrew W McEvoy; Matthew C Walker; Andrew J Trevelyan; Lisa M Bateman; Ronald G Emerson; Catherine A Schevon
Journal:  Neurology       Date:  2015-05-13       Impact factor: 9.910

View more
  4 in total

1.  Delineation of epileptogenic zones with high frequency magnetic source imaging based on kurtosis and skewness.

Authors:  Jing Xiang; Ellen Maue; Hisako Fujiwara; Francesco T Mangano; Hansel Greiner; Jeffrey Tenney
Journal:  Epilepsy Res       Date:  2021-03-08       Impact factor: 3.045

2.  Neuromagnetic high frequency spikes are a new and noninvasive biomarker for localization of epileptogenic zones.

Authors:  Jing Xiang; Ellen Maue; Han Tong; Francesco T Mangano; Hansel Greiner; Jeffrey Tenney
Journal:  Seizure       Date:  2021-05-04       Impact factor: 3.414

3.  The advantages of mapping slow brain potentials using DC-coupled graphene micro-transistors: Clinical and translational applications.

Authors:  Rob C Wykes; Eduard Masvidal-Codina; Anton Guimerà-Brunet; Jose A Garrido
Journal:  Clin Transl Med       Date:  2022-07

4.  Digital reconstruction of infraslow activity in human intracranial ictal recordings using a deconvolution-based inverse filter.

Authors:  Somin Lee; Julia Henry; Andrew K Tryba; Yasar Esengul; Peter Warnke; Shasha Wu; Wim van Drongelen
Journal:  Sci Rep       Date:  2022-08-11       Impact factor: 4.996

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.