scholarly journals A comparison between automated detection methods of high-frequency oscillations (80–500Hz) during seizures

2012 ◽  
Vol 211 (2) ◽  
pp. 265-271 ◽  
Author(s):  
Pariya Salami ◽  
Maxime Lévesque ◽  
Jean Gotman ◽  
Massimo Avoli
2018 ◽  
Vol 2018 ◽  
pp. 1-9 ◽  
Author(s):  
Peter Höller ◽  
Eugen Trinka ◽  
Yvonne Höller

High-frequency oscillations (HFOs) in the electroencephalogram (EEG) are thought to be a promising marker for epileptogenicity. A number of automated detection algorithms have been developed for reliable analysis of invasively recorded HFOs. However, invasive recordings are not widely applicable since they bear risks and costs, and the harm of the surgical intervention of implantation needs to be weighted against the informational benefits of the invasive examination. In contrast, scalp EEG is widely available at low costs and does not bear any risks. However, the detection of HFOs on the scalp represents a challenge that was taken on so far mostly via visual detection. Visual detection of HFOs is, in turn, highly time-consuming and subjective. In this review, we discuss that automated detection algorithms for detection of HFOs on the scalp are highly warranted because the available algorithms were all developed for invasively recorded EEG and do not perform satisfactorily in scalp EEG because of the low signal-to-noise ratio and numerous artefacts as well as physiological activity that obscures the tiny phenomena in the high-frequency range.


2013 ◽  
Vol 8 (6) ◽  
pp. 927-934 ◽  
Author(s):  
Sahbi Chaibi ◽  
Zied Sakka ◽  
Tarek Lajnef ◽  
Mounir Samet ◽  
Abdennaceur Kachouri

2013 ◽  
Vol 124 (10) ◽  
pp. 1935-1942 ◽  
Author(s):  
Martin Pail ◽  
Josef Halámek ◽  
Pavel Daniel ◽  
Robert Kuba ◽  
Ivana Tyrlíková ◽  
...  

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Yuying Fan ◽  
Liping Dong ◽  
Xueyan Liu ◽  
Hua Wang ◽  
Yunhui Liu

Abstract In recent decades, a significant body of evidence based on invasive clinical research has showed that high-frequency oscillations (HFOs) are a promising biomarker for localization of the seizure onset zone (SOZ), and therefore, have the potential to improve postsurgical outcomes in patients with epilepsy. Emerging clinical literature has demonstrated that HFOs can be recorded noninvasively using methods such as scalp electroencephalography (EEG) and magnetoencephalography (MEG). Not only are HFOs considered to be a useful biomarker of the SOZ, they also have the potential to gauge disease severity, monitor treatment, and evaluate prognostic outcomes. In this article, we review recent clinical research on noninvasively detected HFOs in the human brain, with a focus on epilepsy. Noninvasively detected scalp HFOs have been investigated in various types of epilepsy. HFOs have also been studied noninvasively in other pathologic brain disorders, such as migraine and autism. Herein, we discuss the challenges reported in noninvasive HFO studies, including the scarcity of MEG and high-density EEG equipment in clinical settings, low signal-to-noise ratio, lack of clinically approved automated detection methods, and the difficulty in differentiating between physiologic and pathologic HFOs. Additional studies on noninvasive recording methods for HFOs are needed, especially prospective multicenter studies. Further research is fundamental, and extensive work is needed before HFOs can routinely be assessed in clinical settings; however, the future appears promising.


2016 ◽  
Vol 110 (4) ◽  
pp. 316-326 ◽  
Author(s):  
Miguel Navarrete ◽  
Jan Pyrzowski ◽  
Juliana Corlier ◽  
Mario Valderrama ◽  
Michel Le Van Quyen

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