A review of EEG and MEG epileptic spike detection algorithms

FE Abd El-Samie, TN Alotaiby, MI Khalid… - IEEE …, 2018 - ieeexplore.ieee.org
Epilepsy is one of the most serious disorders that affect patients' daily lives. When seizures
occur, patients cannot control their behaviors, which can lead to serious injuries. With the …

Practical fundamentals of clinical MEG interpretation in epilepsy

C Laohathai, JS Ebersole, JC Mosher, AI Bagić… - Frontiers in …, 2021 - frontiersin.org
Magnetoencephalography (MEG) is a neurophysiologic test that offers a functional
localization of epileptic sources in patients considered for epilepsy surgery. The …

Deep learning based automatic detection and dipole estimation of epileptic discharges in MEG: a multi-center study

R Hirano, M Asai, N Nakasato, A Kanno, T Uda… - Scientific Reports, 2024 - nature.com
Magnetoencephalography (MEG) provides crucial information in diagnosing focal epilepsy.
However, dipole estimation, a commonly used analysis method for MEG, can be time …

Subclinical epileptiform activity in the Alzheimer continuum: association with disease, cognition and detection method

A Nous, L Seynaeve, O Feys, V Wens… - Alzheimer's research & …, 2024 - Springer
Background Epileptic seizures are an established comorbidity of Alzheimer's disease (AD).
Subclinical epileptiform activity (SEA) as detected by 24-h electroencephalography (EEG) or …

Gamma band functional connectivity reduction in patients with amnestic mild cognitive impairment and epileptiform activity

P Cuesta, M Ochoa-Urrea, M Funke… - Brain …, 2022 - academic.oup.com
There is growing evidence for neuronal hyperexcitability in Alzheimer's disease.
Hyperexcitability is associated with an increase in epileptiform activity and the disruption of …

Fully-automated spike detection and dipole analysis of epileptic MEG using deep learning

R Hirano, T Emura, O Nakata… - … on Medical Imaging, 2022 - ieeexplore.ieee.org
Magnetoencephalography (MEG) is a useful tool for clinically evaluating the localization of
interictal spikes. Neurophysiologists visually identify spikes from the MEG waveforms and …

[HTML][HTML] MEG-based identification of the epileptogenic zone in occult peri-insular epilepsy

M Heers, S Rampp, H Stefan, H Urbach, CE Elger… - Seizure, 2012 - Elsevier
INTRODUCTION: Presurgical work-ups of patients with pharmacoresistant epileptic seizures
can require multiple diagnostic methods if magnetic resonance imaging (MRI) combined …

Deviations from critical dynamics in interictal epileptiform activity

O Arviv, M Medvedovsky, L Sheintuch… - Journal of …, 2016 - Soc Neuroscience
The framework of criticality provides a unifying perspective on neuronal dynamics from in
vitro cortical cultures to functioning human brains. Recent findings suggest that a healthy …

EMS-Net: A deep learning method for autodetecting epileptic magnetoencephalography spikes

L Zheng, P Liao, S Luo, J Sheng, P Teng… - … on Medical Imaging, 2019 - ieeexplore.ieee.org
Epilepsy is a neurological disorder characterized by sudden and unpredictable epileptic
seizures, which incurs significant negative impacts on patients' physical, psychological and …

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

C Migliorelli, JF Alonso, S Romero… - Journal of neural …, 2017 - iopscience.iop.org
Objective. In epilepsy, high-frequency oscillations (HFOs) are expressively linked to the
seizure onset zone (SOZ). The detection of HFOs in the noninvasive signals from scalp …