scholarly journals Circadian Dynamics of High Frequency Oscillations in Patients with Epilepsy

Author(s):  
Jirí Balach ◽  
Petr Jezdik ◽  
Radek Janca ◽  
Roman Cmejla ◽  
Pavel Krsek ◽  
...  
Author(s):  
Walter G. Besio ◽  
Iris E. Martinez-Juarez ◽  
Oleksandr Makeyev ◽  
John N. Gaitanis ◽  
Andrew S. Blum ◽  
...  

2020 ◽  
Vol 20 (6) ◽  
pp. 338-347
Author(s):  
Julia Jacobs ◽  
Maeike Zijlmans

The study of high frequency oscillations (HFO) in the electroencephalogram (EEG) as biomarkers of epileptic activity has merely focused on their spatial location and relationship to the epileptogenic zone. It has been suggested in several ways that the amount of HFO at a certain point in time may reflect the disease activity or severity. This could be clinically useful in several ways, especially as noninvasive recording of HFO appears feasible. We grouped the potential hypotheses into 4 categories: (1) HFO as biomarkers to predict the development of epilepsy; (2) HFO as biomarkers to predict the occurrence of seizures; (3) HFO as biomarkers linked to the severity of epilepsy, and (4) HFO as biomarkers to evaluate outcome of treatment. We will review the literature that addresses these 4 hypotheses and see to what extent HFO can be used to measure seizure propensity and help determine prognosis of this unpredictable disease.


Neurology ◽  
2009 ◽  
Vol 72 (11) ◽  
pp. 979-986 ◽  
Author(s):  
M. Zijlmans ◽  
J. Jacobs ◽  
R. Zelmann ◽  
F. Dubeau ◽  
J. Gotman

Proceedings ◽  
2019 ◽  
Vol 42 (1) ◽  
pp. 52
Author(s):  
Oleksandr Makeyev ◽  
Frederick Lee ◽  
Mark Musngi

Epilepsy affects approximately 67 million people worldwide with up to 75% from developing countries. Diagnosing epilepsy using electroencephalogram (EEG) is complicated due to its poor signal-to-noise ratio, high sensitivity to various forms of artifacts, and low spatial resolution. Laplacian EEG signal via novel and noninvasive tripolar concentric ring electrodes (tEEG) is superior to EEG via conventional disc electrodes due to its unique capabilities, which allow automatic attenuation of common movement and muscle artifacts. In this work, we apply exponentially embedded family (EEF) to show feasibility of automatic detection of gamma band high-frequency oscillations (HFOs) in tEEG data from two human patients with epilepsy as a step toward the ultimate goal of using the automatically detected HFOs as auxiliary features for seizure onset detection to improve diagnostic yield of tEEG for epilepsy. Obtained preliminary results suggest the potential of the approach and feasibility of detecting HFOs in tEEG data using the EEF based detector with high accuracy. Further investigation on a larger dataset is needed for a conclusive proof.


1979 ◽  
Vol 40 (C7) ◽  
pp. C7-619-C7-620
Author(s):  
L. L. Pasechnik ◽  
L. I. Romanyuk ◽  
N. Ye. Svavil'ny

Epilepsia ◽  
2021 ◽  
Author(s):  
Nicole E. C. Klink ◽  
Willemiek J. E. M. Zweiphenning ◽  
Cyrille H. Ferrier ◽  
Peter H. Gosselaar ◽  
Kai J. Miller ◽  
...  

Author(s):  
Lotte Noorlag ◽  
Maryse A. van 't Klooster ◽  
Alexander C. van Huffelen ◽  
Nicole E.C. van Klink ◽  
Manon J.N.L. Benders ◽  
...  

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