Literature DB >> 33408149

High-Frequency Oscillations in Epilepsy: What Have We Learned and What Needs to be Addressed.

Zhuying Chen1, Matias I Maturana2, Anthony N Burkitt2, Mark J Cook2, David B Grayden2.   

Abstract

For the past 2 decades, high-frequency oscillations (HFOs) have been enthusiastically studied by the epilepsy community. Emerging evidence shows that HFOs harbor great promise to delineate epileptogenic brain areas and possibly predict the likelihood of seizures. Investigations into HFOs in clinical epilepsy have advanced from small retrospective studies relying on visual identification and correlation analysis to larger prospective assessments using automatic detection and prediction strategies. Although most studies have yielded promising results, some have revealed significant obstacles to clinical application of HFOs, thus raising debate about the reliability and practicality of HFOs as clinical biomarkers. In this review, we give an overview of the current state of HFO research and pinpoint the conceptual and methodological issues that have hampered HFO translation. We highlight recent insights gained from long-term data, high-density recordings, and multicenter collaborations and discuss the open questions that need to be addressed in future research.
© 2021 American Academy of Neurology.

Entities:  

Year:  2021        PMID: 33408149     DOI: 10.1212/WNL.0000000000011465

Source DB:  PubMed          Journal:  Neurology        ISSN: 0028-3878            Impact factor:   9.910


  8 in total

1.  A spiking neural network (SNN) for detecting high frequency oscillations (HFOs) in the intraoperative ECoG.

Authors:  Karla Burelo; Mohammadali Sharifshazileh; Niklaus Krayenbühl; Georgia Ramantani; Giacomo Indiveri; Johannes Sarnthein
Journal:  Sci Rep       Date:  2021-03-24       Impact factor: 4.379

2.  An electronic neuromorphic system for real-time detection of high frequency oscillations (HFO) in intracranial EEG.

Authors:  Mohammadali Sharifshazileh; Karla Burelo; Johannes Sarnthein; Giacomo Indiveri
Journal:  Nat Commun       Date:  2021-05-25       Impact factor: 14.919

3.  Automatic Detection of High-Frequency Oscillations Based on an End-to-End Bi-Branch Neural Network and Clinical Cross-Validation.

Authors:  Zimo Liu; Penghu Wei; Yiping Wang; Yanfeng Yang; Yang Dai; Gongpeng Cao; Guixia Kang; Yongzhi Shan; Da Liu; Yongzhao Xie
Journal:  Comput Intell Neurosci       Date:  2021-12-28

4.  Are High Frequency Oscillations in Scalp EEG Related to Age?

Authors:  Philipp Franz Windhager; Adrian V Marcu; Eugen Trinka; Arne Bathke; Yvonne Höller
Journal:  Front Neurol       Date:  2022-01-27       Impact factor: 4.003

5.  Normative brain mapping of interictal intracranial EEG to localize epileptogenic tissue.

Authors:  Peter N Taylor; Christoforos A Papasavvas; Thomas W Owen; Gabrielle M Schroeder; Frances E Hutchings; Fahmida A Chowdhury; Beate Diehl; John S Duncan; Andrew W McEvoy; Anna Miserocchi; Jane de Tisi; Sjoerd B Vos; Matthew C Walker; Yujiang Wang
Journal:  Brain       Date:  2022-04-29       Impact factor: 15.255

Review 6.  Automatic Detection of High-Frequency Oscillations With Neuromorphic Spiking Neural Networks.

Authors:  Karla Burelo; Mohammadali Sharifshazileh; Giacomo Indiveri; Johannes Sarnthein
Journal:  Front Neurosci       Date:  2022-06-02       Impact factor: 5.152

7.  Epileptogenic high-frequency oscillations present larger amplitude both in mesial temporal and neocortical regions.

Authors:  Victor Karpychev; Alexandra Balatskaya; Nikita Utyashev; Nikita Pedyash; Andrey Zuev; Olga Dragoy; Tommaso Fedele
Journal:  Front Hum Neurosci       Date:  2022-09-29       Impact factor: 3.473

8.  A neuromorphic spiking neural network detects epileptic high frequency oscillations in the scalp EEG.

Authors:  Karla Burelo; Georgia Ramantani; Giacomo Indiveri; Johannes Sarnthein
Journal:  Sci Rep       Date:  2022-02-02       Impact factor: 4.996

  8 in total

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