Automated detection of epileptic ripples in MEG using beamformer-based virtual sensors-Reference-Cited by-同舟云学术

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Automated detection of epileptic ripples in MEG using beamformer-based virtual sensors

Published:2017-05-31 Issue:4 Volume:14 Page:046013
ISSN:1741-2560
Container-title:Journal of Neural Engineering
language:
Short-container-title:J. Neural Eng.

Author:

Migliorelli Carolina,Alonso Joan F,Romero Sergio,Nowak Rafał,Russi Antonio,Mañanas Miguel A

Funder

Ministerio de Educación, Cultura y Deporte

Ministerio de Economía y Competitividad

Publisher

IOP Publishing

Subject

Cellular and Molecular Neuroscience,Biomedical Engineering

Link

http://iopscience.iop.org/article/10.1088/1741-2552/aa684c/pdf

Reference59 articles.

1. Current management and surgical outcomes of medically intractable epilepsy

2. Clinical Outcomes and Quality of Life Following Surgical Treatment for Refractory Epilepsy

3. Intractable epilepsy: management and therapeutic alternatives

4. Presurgical evaluation of epilepsy

5. High-frequency oscillations (HFOs) in clinical epilepsy

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1. Magnetoencephalography for the pediatric population, indications, acquisition and interpretation for the clinician;The Neuroradiology Journal;2024-06-12

2. What Are the Promises and Challenges of Simultaneous MEG and Intracranial Recordings?;Studies in Neuroscience, Psychology and Behavioral Economics;2023

3. EMHapp: a pipeline for the automatic detection, localization and visualization of epileptic magnetoencephalographic high-frequency oscillations;Journal of Neural Engineering;2022-10-01

4. A Brief Introduction to Magnetoencephalography (MEG) and Its Clinical Applications;Brain Sciences;2022-06-15

5. MEG detection of high frequency oscillations and intracranial-EEG validation in pediatric epilepsy surgery;Clinical Neurophysiology;2021-09

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