Using ictal high-frequency oscillations (80–500Hz) to localize seizure onset zones in childhood absence epilepsy: A MEG study

Miao, Ailiang; Xiang, Jing; Tang, Lu; Ge, Huaiting; Liu, Hongxing; Wu, Ting; Chen, Qiqi; Hu, Zizhong; Lu, Xiaopeng; Wang, Xiaoshan

doi:10.1016/j.neulet.2014.02.038

Cited by 55 publications

(51 citation statements)

References 31 publications

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“…The discovery of high-frequency brain signals has prompted the development of methods specifically optimized for the detection of neuromagnetic high-frequency signals using MEG (Miao et al, 2014). Building on previous reports (Dalal et al, 2008;Popescu et al, 2008;Xiang et al, 2009a), the present study aimed to utilize the frequency signature of neuromagnetic signals for localizing brain activity.…”

Section: Theoretical Backgroundmentioning

confidence: 99%

Volumetric imaging of brain activity with spatial-frequency decoding of neuromagnetic signals

Xiang

Korman

Samarasinghe

et al. 2015

Journal of Neuroscience Methods

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103

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Section: Theoretical Backgroundmentioning

confidence: 99%

Volumetric imaging of brain activity with spatial-frequency decoding of neuromagnetic signals

Xiang

Korman

Samarasinghe

et al. 2015

Journal of Neuroscience Methods

Self Cite

103

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“…Evidence from phantom constructions that simulate HFOs generators suggested that HFOs can be detected and localized with high localization accuracy (2 -3 mm) with MEG 32 . Several recent studies reported HFOs in the MEG signals recorded from patients with epilepsy in the ripple frequency band [33][34][35][36][37][38] . Time-frequency analysis has shown that MEG data contain high frequency components related to the EZ [33][34][35][36] .…”

Section: Introductionmentioning

confidence: 99%

“…Several recent studies reported HFOs in the MEG signals recorded from patients with epilepsy in the ripple frequency band [33][34][35][36][37][38] . Time-frequency analysis has shown that MEG data contain high frequency components related to the EZ [33][34][35][36] . However, only a few studies have identified interictal HFOs as visible events standing out of the background signal in the time domain, as typically done with iEEG [37][38] .…”

Section: Introductionmentioning

confidence: 99%

Interictal High Frequency Oscillations Detected with Simultaneous Magnetoencephalography and Electroencephalography as Biomarker of Pediatric Epilepsy

Papadelis

Tamilia

Stufflebeam

et al. 2016

JoVE

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Crucial to the success of epilepsy surgery is the availability of a robust biomarker that identifies the Epileptogenic Zone (EZ). High Frequency Oscillations (HFOs) have emerged as potential presurgical biomarkers for the identification of the EZ in addition to Interictal Epileptiform Discharges (IEDs) and ictal activity. Although they are promising to localize the EZ, they are not yet suited for the diagnosis or monitoring of epilepsy in clinical practice. Primary barriers remain: the lack of a formal and global definition for HFOs; the consequent heterogeneity of methodological approaches used for their study; and the practical difficulties to detect and localize them noninvasively from scalp recordings. Here, we present a methodology for the recording, detection, and localization of interictal HFOs from pediatric patients with refractory epilepsy. We report representative data of HFOs detected noninvasively from interictal scalp EEG and MEG from two children undergoing surgery.The underlying generators of HFOs were localized by solving the inverse problem and their localization was compared to the Seizure Onset Zone (SOZ) as this was defined by the epileptologists. For both patients, Interictal Epileptogenic Discharges (IEDs) and HFOs were localized with source imaging at concordant locations. For one patient, intracranial EEG (iEEG) data were also available. For this patient, we found that the HFOs localization was concordant between noninvasive and invasive methods. The comparison of iEEG with the results from scalp recordings served to validate these findings. To our best knowledge, this is the first study that presents the source localization of scalp HFOs from simultaneous EEG and MEG recordings comparing the results with invasive recordings. These findings suggest that HFOs can be reliably detected and localized noninvasively with scalp EEG and MEG. We conclude that the noninvasive localization of interictal HFOs could significantly improve the presurgical evaluation for pediatric patients with epilepsy.

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“…• The occurrence of conventional spikes does not correlate with seizure severity (e.g., number of daily seizure) [46] but HFBS do correlate [47,48].…”

Section: Editorialmentioning

confidence: 95%

High Frequency Neuromagnetic Signals: A New Biomarker for Localizing Epileptic Areas Running Title: High-Frequency Neuromagnetic Signals in Epilepsy

Xiang¹,

Leiken²,

Chen³

2016

J Epilepsy

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Using ictal high-frequency oscillations (80–500Hz) to localize seizure onset zones in childhood absence epilepsy: A MEG study

Cited by 55 publications

References 31 publications

Volumetric imaging of brain activity with spatial-frequency decoding of neuromagnetic signals

Volumetric imaging of brain activity with spatial-frequency decoding of neuromagnetic signals

Interictal High Frequency Oscillations Detected with Simultaneous Magnetoencephalography and Electroencephalography as Biomarker of Pediatric Epilepsy

High Frequency Neuromagnetic Signals: A New Biomarker for Localizing Epileptic Areas Running Title: High-Frequency Neuromagnetic Signals in Epilepsy

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