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Literature DB >> 31044598

Localizing epileptogenic regions using high-frequency oscillations and machine learning.

Shennan A Weiss¹, Zachary Waldman¹, Federico Raimondo^2,3, Diego Slezak^2,3, Mustafa Donmez¹, Gregory Worrell⁴, Anatol Bragin⁵, Jerome Engel⁵, Richard Staba⁵, Michael Sperling¹.

Abstract

Pathological high frequency oscillations (HFOs) are putative neurophysiological biomarkers of epileptogenic brain tissue. Utilizing HFOs for epilepsy surgery planning offers the promise of improved seizure outcomes for patients with medically refractory epilepsy. This review discusses possible machine learning strategies that can be applied to HFO biomarkers to better identify epileptogenic regions. We discuss the role of HFO rate, and utilizing features such as explicit HFO properties (spectral content, duration, and power) and phase-amplitude coupling for distinguishing pathological HFO (pHFO) events from physiological HFO events. In addition, the review highlights the importance of neuroanatomical localization in machine learning strategies.

Entities: Disease Species

Keywords: HFO; artificial intelligence; epilepsy; epilepsy surgery; epileptiform spike; fast ripple; high-frequency oscillation; machine learning; phase–amplitude coupling; ripple; seizure; wavelet

Mesh：

Substances：
Biomarkers

Year: 2019 PMID： 31044598 PMCID： PMC6817967 DOI： 10.2217/bmm-2018-0335

Source DB: PubMed Journal: Biomark Med ISSN： 1752-0363 Impact factor: 2.851

56 in total

Review 1. Hippocampal sharp wave-ripple: A cognitive biomarker for episodic memory and planning.

Authors: György Buzsáki
Journal: Hippocampus Date: 2015-10 Impact factor: 3.899

2. Frequency-independent characteristics of high-frequency oscillations in epileptic and non-epileptic regions.

Authors: Martin Pail; Pavel Řehulka; Jan Cimbálník; Irena Doležalová; Jan Chrastina; Milan Brázdil
Journal: Clin Neurophysiol Date: 2016-10-29 Impact factor: 3.708

3. Surgical resection of ripple onset predicts outcome in pediatric epilepsy.

Authors: Eleonora Tamilia; Eun-Hyoung Park; Stefania Percivati; Jeffrey Bolton; Fabrizio Taffoni; Jurriaan M Peters; P Ellen Grant; Phillip L Pearl; Joseph R Madsen; Christos Papadelis
Journal: Ann Neurol Date: 2018-09-04 Impact factor: 10.422

4. Interictal ripples nested in epileptiform discharge help to identify the epileptogenic zone in neocortical epilepsy.

Authors: Shuang Wang; Norman K So; Bo Jin; Irene Z Wang; Juan C Bulacio; Rei Enatsu; Shenyi Dai; Zhong Chen; Jorge Gonzalez-Martinez; Imad M Najm
Journal: Clin Neurophysiol Date: 2017-03-25 Impact factor: 3.708

5. The spatial and signal characteristics of physiologic high frequency oscillations.

Authors: Rafeed Alkawadri; Nicolas Gaspard; Irina I Goncharova; Dennis D Spencer; Jason L Gerrard; Hitten Zaveri; Robert B Duckrow; Hal Blumenfeld; Lawrence J Hirsch
Journal: Epilepsia Date: 2014-12-03 Impact factor: 5.864

6. Patterns of the UP-Down state in normal and epileptic mice.

Authors: A Bragin; S K Benassi; J Engel
Journal: Neuroscience Date: 2012-09-06 Impact factor: 3.590

7. 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

8. Spontaneous ripples in the hippocampus correlate with epileptogenicity and not memory function in patients with refractory epilepsy.

Authors: Julia Jacobs; Sarah Banks; Rina Zelmann; Maeike Zijlmans; Marilyn Jones-Gotman; Jean Gotman
Journal: Epilepsy Behav Date: 2016-08-09 Impact factor: 2.937

9. High-frequency oscillations in human temporal lobe: simultaneous microwire and clinical macroelectrode recordings.

Authors: Greg A Worrell; Andrew B Gardner; S Matt Stead; Sanqing Hu; Steve Goerss; Gregory J Cascino; Fredric B Meyer; Richard Marsh; Brian Litt
Journal: Brain Date: 2008-02-07 Impact factor: 13.501

10. Utilization of independent component analysis for accurate pathological ripple detection in intracranial EEG recordings recorded extra- and intra-operatively.

Authors: Shoichi Shimamoto; Zachary J Waldman; Iren Orosz; Inkyung Song; Anatol Bragin; Itzhak Fried; Jerome Engel; Richard Staba; Ashwini Sharan; Chengyuan Wu; Michael R Sperling; Shennan A Weiss
Journal: Clin Neurophysiol Date: 2017-10-25 Impact factor: 3.708

7 in total

1. Beyond rates: time-varying dynamics of high frequency oscillations as a biomarker of the seizure onset zone.

Authors: Michael D Nunez; Krit Charupanit; Indranil Sen-Gupta; Beth A Lopour; Jack J Lin
Journal: J Neural Eng Date: 2022-02-22 Impact factor: 5.043

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. Three dimensional microelectrodes enable high signal and spatial resolution for neural seizure recordings in brain slices and freely behaving animals.

Authors: P Wijdenes; K Haider; C Gavrilovici; B Gunning; M D Wolff; T Lijnse; R Armstrong; G C Teskey; J M Rho; C Dalton; Naweed I Syed
Journal: Sci Rep Date: 2021-11-09 Impact factor: 4.379