Literature DB >> 30871799

Simultaneous MEG and EEG to detect ripples in people with focal epilepsy.

Nicole van Klink1, Anne Mooij2, Geertjan Huiskamp2, Cyrille Ferrier2, Kees Braun2, Arjan Hillebrand3, Maeike Zijlmans4.   

Abstract

OBJECTIVE: We studied ripples (80-250 Hz) simultaneously recorded in electroencephalography (EEG) and magnetoencephalography (MEG) to evaluate the differences.
METHODS: Simultaneous EEG and MEG were recorded in 30 patients with drug resistant focal epilepsy. Ripples were automatically detected and visually checked in virtual channels throughout the cortex. The number and location of ripples in EEG and MEG were compared to each other and to a region of interest (ROI) defined by clinically available information.
RESULTS: Eleven patients showed ripples in both MEG and EEG, 11 only in EEG and one only in MEG. Twenty-four percent of the ripples occurred simultaneously in EEG and MEG, 71% only in EEG, and 5% only in MEG. Three patients without spikes in EEG showed EEG ripples. Ripple localization was concordant with the ROI in 80% of patients with MEG ripples, as opposed to 62% full or partial concordance for EEG ripples. With the optimal threshold for localizing the ROI, sensitivity and specificity were more than 80%.
CONCLUSIONS: Ripples in MEG are less frequent but more specific and sensitive for the region of interest than ripples in EEG. Ripples in EEG can exist without spikes in the EEG. SIGNIFICANCE: Ripples in MEG and EEG provide complementary information.
Copyright © 2019 International Federation of Clinical Neurophysiology. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Beamforming; Epilepsy surgery; Focal epilepsy; High frequency oscillations; Ripples; Virtual electrodes

Year:  2019        PMID: 30871799     DOI: 10.1016/j.clinph.2019.01.027

Source DB:  PubMed          Journal:  Clin Neurophysiol        ISSN: 1388-2457            Impact factor:   3.708


  10 in total

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Review 2.  EEG-Based Epileptic Seizure Detection via Machine/Deep Learning Approaches: A Systematic Review.

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Review 3.  Localizing the Epileptogenic Zone with Novel Biomarkers.

Authors:  Christos Papadelis; M Scott Perry
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6.  Neuromagnetic high frequency spikes are a new and noninvasive biomarker for localization of epileptogenic zones.

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Review 7.  Automatic Detection of High-Frequency Oscillations With Neuromorphic Spiking Neural Networks.

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10.  Scalp ripples as prognostic biomarkers of epileptogenicity in pediatric surgery.

Authors:  Eleonora Tamilia; Matilde Dirodi; Michel Alhilani; P Ellen Grant; Joseph R Madsen; Steven M Stufflebeam; Phillip L Pearl; Christos Papadelis
Journal:  Ann Clin Transl Neurol       Date:  2020-02-25       Impact factor: 4.511

  10 in total

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