Literature DB >> 27635628

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

Taissa Ferrari-Marinho1, Piero Perucca2, Francois Dubeau2, Jean Gotman2.   

Abstract

OBJECTIVE: High-frequency oscillations (80-500Hz; HFOs) have been shown to be a specific biomarker of the seizure-onset zone. The relationship of HFOs with seizures having different intracranial electroencephalography (iEEG) morphological onsets, however, has shown significant relationships in experimental animals but has not been studied in humans. We investigated how interictal and ictal HFOs relate to different seizure-onset morphological patterns.
METHODS: We analyzed the most representative seizure type of 37 patients with drug-resistant focal epilepsy who underwent iEEG for diagnostic evaluation. According to the morphology, 211 seizure-onset zone channels were classified in six patterns (low-voltage fast activity; sharp activity at ≤13Hz; low-frequency high-amplitude periodic spikes; burst of high-amplitude polyspikes; spike-and-wave activity; and delta brush). Interictal and ictal HFOs were compared between the six seizure-onset patterns.
RESULTS: Interictal ripple and fast ripple rates differed significantly across seizure-onset patterns (p<0.001). Significant differences were also found for ictal HFOs density across the different seizure-onset patterns (p<0.001). Sharp activity at ≤13Hz was associated with the lowest interictal HFO rate suggesting either that the mechanism that generates this type of EEG morphology do not generate HFOs or possibly that this pattern is more likely to be generated in a region of seizure spread. Regarding the difference in HFO density between pre-ictal baseline and seizure-onset section across the six patterns, burst of high-amplitude polyspikes and delta brushes had the highest densities of both ripples and fast ripples (p<0.001). SIGNIFICANCE: We demonstrated that distinct seizure-onset patterns correlate specific interictal and ictal HFO profiles confirming that seizures with different morphological patterns likely have different mechanisms of generation. This study emphazises that, in clinical practice, seizure-onset patterns should be distinguished and specified when analyzing HFOs, particularly if they are used in presurgical evaluation to better localize the seizure-onset zone.
Copyright © 2016 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Focal epilepsy; High-frequency oscillations; Intracranial stereo-EEG; Seizure-onset patterns

Mesh:

Year:  2016        PMID: 27635628     DOI: 10.1016/j.eplepsyres.2016.09.009

Source DB:  PubMed          Journal:  Epilepsy Res        ISSN: 0920-1211            Impact factor:   3.045


  8 in total

Review 1.  DC shifts, high frequency oscillations, ripples and fast ripples in relation to the seizure onset zone.

Authors:  Somin Lee; Naoum P Issa; Sandra Rose; James X Tao; Peter C Warnke; Vernon L Towle; Wim van Drongelen; Shasha Wu
Journal:  Seizure       Date:  2019-05-03       Impact factor: 3.184

2.  Progress and Remaining Challenges in the Application of High Frequency Oscillations as Biomarkers of Epileptic Brain.

Authors:  Fatemeh Khadjevand; Jan Cimbalnik; Gregory A Worrell
Journal:  Curr Opin Biomed Eng       Date:  2017-09-22

3.  Seizure onset location shapes dynamics of initiation.

Authors:  Pariya Salami; Noam Peled; Jessica K Nadalin; Louis-Emmanuel Martinet; Mark A Kramer; Jong W Lee; Sydney S Cash
Journal:  Clin Neurophysiol       Date:  2020-05-29       Impact factor: 3.708

4.  Physiological and pathological high-frequency oscillations have distinct sleep-homeostatic properties.

Authors:  Nicolás von Ellenrieder; François Dubeau; Jean Gotman; Birgit Frauscher
Journal:  Neuroimage Clin       Date:  2017-02-24       Impact factor: 4.881

5.  Identifying the Epileptogenic Zone With the Relative Strength of High-Frequency Oscillation: A Stereoelectroencephalography Study.

Authors:  Lei Qi; Xing Fan; Xiaorong Tao; Qi Chai; Kai Zhang; Fangang Meng; Wenhan Hu; Lin Sang; Xiaoli Yang; Hui Qiao
Journal:  Front Hum Neurosci       Date:  2020-06-09       Impact factor: 3.169

6.  Cortical Layer and Spectrotemporal Architecture of Epileptiform Activity in vivo in a Mouse Model of Focal Cortical Malformation.

Authors:  Anthony J Williams; Qian-Quan Sun
Journal:  Front Neural Circuits       Date:  2019-01-22       Impact factor: 3.492

7.  Spatial and temporal profile of high-frequency oscillations in posttraumatic epileptogenesis.

Authors:  Lin Li; Udaya Kumar; Jing You; Yufeng Zhou; Shennan A Weiss; Jerome Engel; Anatol Bragin
Journal:  Neurobiol Dis       Date:  2021-11-03       Impact factor: 7.046

8.  The accuracy of quantitative EEG biomarker algorithms depends upon seizure onset dynamics.

Authors:  Garnett Smith; William C Stacey
Journal:  Epilepsy Res       Date:  2021-06-24       Impact factor: 2.991

  8 in total

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