Scalp-recorded high-frequency oscillations in childhood epileptic encephalopathy with continuous spike-and-wave during sleep with different etiologies

Gong, Pan; Qian, Ping; Yang, Haiyuan; Liu, Xiaoyan; Cai, Lixin; Bian, Kaigui; Yang, Zhixian

doi:10.1016/j.braindev.2017.12.010

Cited by 25 publications

(25 citation statements)

References 48 publications

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“…Furthermore, scalp HFO have been linked to the severity of disease in several pediatric epilepsy syndromes, such as infantile spasms 10 , atypical benign partial epilepsy 11 , and Rolandic epilepsy 12 , with scalp HFO rates mirroring seizure frequency in the latter study 12,13 . Moreover, a reduction of scalp HFO rates in response to treatment has been reported for children with continuous spike-and-wave during sleep 14 , West syndrome 10 , and atypical benign partial epilepsy 11 . Whether scalp HFO rates correlate with seizure frequency in drug-resistant focal epilepsy and whether a treatment response in terms of scalp HFO reduction can be observed with epilepsy surgery awaits confirmation.…”

Section: Introductionmentioning

confidence: 95%

High-frequency oscillations in scalp EEG mirror seizure frequency in pediatric focal epilepsy

Boran

Sarnthein

Krayenbühl

et al. 2019

Sci Rep

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High-frequency oscillations (HFO) are promising EEG biomarkers of epileptogenicity. While the evidence supporting their significance derives mainly from invasive recordings, recent studies have extended these observations to HFO recorded in the widely accessible scalp EEG. Here, we investigated whether scalp HFO in drug-resistant focal epilepsy correspond to epilepsy severity and how they are affected by surgical therapy. In eleven children with drug-resistant focal epilepsy that underwent epilepsy surgery, we prospectively recorded pre- and postsurgical scalp EEG with a custom-made low-noise amplifier (LNA). In four of these children, we also recorded intraoperative electrocorticography (ECoG). To detect clinically relevant HFO, we applied a previously validated automated detector. Scalp HFO rates showed a significant positive correlation with seizure frequency (R2 = 0.80, p < 0.001). Overall, scalp HFO rates were higher in patients with active epilepsy (19 recordings, p = 0.0066, PPV = 86%, NPV = 80%, accuracy = 84% CI [62% 94%]) and decreased following successful epilepsy surgery. The location of the highest HFO rates in scalp EEG matched the location of the highest HFO rates in ECoG. This study is the first step towards using non-invasively recorded scalp HFO to monitor disease severity in patients affected by epilepsy.

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Section: Introductionmentioning

confidence: 95%

High-frequency oscillations in scalp EEG mirror seizure frequency in pediatric focal epilepsy

Boran

Sarnthein

Krayenbühl

et al. 2019

Sci Rep

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“…Cuello-Oderiz et al (149) showed that interictal scalp HFOs are predominantly recorded in epilepsy patients with superficial lesions compared to deep-seated foci. In another study, scalp HFO dominant regions were found to be concordant with MRI abnormalities in patients with structural etiologies (151). Patients with focal epilepsy were further found to have greater thalamic BOLD changes during IEDs when yielding high rates of interictal scalp HFOs accompanying those discharges (137).…”

Section: Hfos Obtained From Non-invasive Recordingsmentioning

confidence: 88%

“…Qian et al (146) further found interictal ripples to sensitively monitor the response to pharmacological treatment with methylprednisolone. Sensitive treatment response assessments using scalp HFOs were also reported for children suffering from epileptic encephalopathy with continuous spike-and-wave during sleep treated with methylprednisolone (151), and for children with hypsarrhythmia in West syndrome being treated with adrenocorticotropic hormones (141).…”

Section: Hfos Obtained From Non-invasive Recordingsmentioning

confidence: 99%

Localization of the Epileptogenic Zone Using High Frequency Oscillations

2019

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For patients with drug-resistant focal epilepsy, surgery is the therapy of choice in order to achieve seizure freedom. Epilepsy surgery foremost requires the identification of the epileptogenic zone (EZ), defined as the brain area indispensable for seizure generation. The current gold standard for identification of the EZ is the seizure-onset zone (SOZ). The fact, however that surgical outcomes are unfavorable in 40–50% of well-selected patients, suggests that the SOZ is a suboptimal biomarker of the EZ, and that new biomarkers resulting in better postsurgical outcomes are needed. Research of recent years suggested that high-frequency oscillations (HFOs) are a promising biomarker of the EZ, with a potential to improve surgical success in patients with drug-resistant epilepsy without the need to record seizures. Nonetheless, in order to establish HFOs as a clinical biomarker, the following issues need to be addressed. First, evidence on HFOs as a clinically relevant biomarker stems predominantly from retrospective assessments with visual marking, leading to problems of reproducibility and reliability. Prospective assessments of the use of HFOs for surgery planning using automatic detection of HFOs are needed in order to determine their clinical value. Second, disentangling physiologic from pathologic HFOs is still an unsolved issue. Considering the appearance and the topographic location of presumed physiologic HFOs could be immanent for the interpretation of HFO findings in a clinical context. Third, recording HFOs non-invasively via scalp electroencephalography (EEG) and magnetoencephalography (MEG) is highly desirable, as it would provide us with the possibility to translate the use of HFOs to the scalp in a large number of patients. This article reviews the literature regarding these three issues. The first part of the article focuses on the clinical value of invasively recorded HFOs in localizing the EZ, the detection of HFOs, as well as their separation from physiologic HFOs. The second part of the article focuses on the current state of the literature regarding non-invasively recorded HFOs with emphasis on findings and technical considerations regarding their localization.

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“…Based on clinical data, HFOs associated with spikes have been proposed as a potential negative prognostic marker in Idiopathic Focal Epilepsies of Childhood, indicating a possible evolution to ESES/CSWS (Kobayashi et al, 2011). Further studies confirmed that HFOs in patients with ESES might reflect disease activity and treatment response (Qian et al, 2016;Gong et al, 2018). Thus, in our opinion, the presence (and abundance) of spikerelated HFOs could be another quantitative variable to be integrated into the evaluation of ESES.…”

Section: High Frequency Oscillationsmentioning

confidence: 82%

“…High frequency oscillations (HFOs) ranging from 80 to 500 Hz have been identified as possible biomarkers for epileptogenic tissue based on intracerebral recordings, but recently HFOs were described also on scalp EEG of patients with symptomatic and idiopathic ESES, including LKS (Kobayashi et al, 2010;Gong et al, 2018). The possibility to record HFOs from scalp indicates the presence of hypersynchronous pathological high-frequency activity that involves a relatively large cortical area (Kobayashi et al, 2010).…”

Section: High Frequency Oscillationsmentioning

confidence: 99%

Quantitative EEG analysis in Encephalopathy related to Status Epilepticus during slow Sleep

Cantalupo

Pavlidis

Beniczky³

et al. 2019

Epileptic Disorders

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Since its first description, quantifying the burden of epileptiform abnormalities in sleep EEG has played a fundamental role in the diagnosis of Encephalopathy related to Status Epilepticus during slow Sleep (ESES). In fact, in the 1971 seminal paper by Tassinari's group and in the following studies on this syndrome, the amount of epileptiform discharges (EDs) was calculated as the percentage of slow sleep occupied by spike‐and‐waves and referred to as “spike and wave index” (SWI). However, nowadays it is becoming increasingly clear that the SWI alone does not explain the whole clinical course of patients affected by ESES. In this paper, we aim to provide a state‐of‐the‐art summary of the quantitative EEG methods currently used in the ESES/CSWS literature, highlighting the possible pitfalls and discrepancies explaining the unsatisfactory correlation between SWI and clinical course. Furthermore; we illustrate a number of methodological refinements ‐ taking into account inter‐individual, intra‐individual, and temporal variability of EDs ‐ alongside “new” quantitative variables ‐including ED‐related and sleep‐related features ‐ potentially useful to reach a reliable electro‐clinical correlation in patients with ESES.

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Scalp-recorded high-frequency oscillations in childhood epileptic encephalopathy with continuous spike-and-wave during sleep with different etiologies

Cited by 25 publications

References 48 publications

High-frequency oscillations in scalp EEG mirror seizure frequency in pediatric focal epilepsy

High-frequency oscillations in scalp EEG mirror seizure frequency in pediatric focal epilepsy

Localization of the Epileptogenic Zone Using High Frequency Oscillations

Quantitative EEG analysis in Encephalopathy related to Status Epilepticus during slow Sleep

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