A consensus statement on detection of hippocampal sharp wave ripples and differentiation from other fast oscillations

AA Liu, S Henin, S Abbaspoor, A Bragin… - Nature …, 2022 - nature.com
Decades of rodent research have established the role of hippocampal sharp wave ripples
(SPW-Rs) in consolidating and guiding experience. More recently, intracranial recordings in …

Human brain imaging with high‐density electroencephalography: Techniques and applications

M Marino, D Mantini - The Journal of Physiology, 2024 - Wiley Online Library
Electroencephalography (EEG) is a technique for non‐invasively measuring neuronal
activity in the human brain using electrodes placed on the participant's scalp. With the …

Neurostimulation targeting the epileptic focus: current understanding and perspectives for treatment

A Schulze-Bonhage, MA Nitsche, S Rotter… - … : European Journal of …, 2024 - Elsevier
For the one third of people with epilepsy whose seizures are not controlled with medications,
targeting the seizure focus with neurostimulation can be an effective therapeutic strategy. In …

From theory to practical fundamentals of electroencephalographic source imaging in localizing the epileptogenic zone

J Singh, JS Ebersole, BH Brinkmann - Epilepsia, 2022 - Wiley Online Library
With continued advancement in computational technologies, the analysis of
electroencephalography (EEG) has shifted from pure visual analysis to a noninvasive …

Semiautomated electric source imaging determines epileptogenicity of encephaloceles in temporal lobe epilepsy

DC Antal, DM Altenmüller, M Dümpelmann… - …, 2024 - Wiley Online Library
Objective We aimed to assess the ability of semiautomated electric source imaging (ESI)
from long‐term video‐electroencephalographic (EEG) monitoring (LTM) to determine the …

V2IED: Dual-view learning framework for detecting events of interictal epileptiform discharges

Z Ming, D Chen, T Gao, Y Tang, W Tu, J Chen - Neural Networks, 2024 - Elsevier
Interictal epileptiform discharges (IED) as large intermittent electrophysiological events are
associated with various severe brain disorders. Automated IED detection has long been a …

Semiautomatic interictal electric source localization based on long‐term electroencephalographic monitoring: a prospective study

L Spinelli, AG Baroumand, S Vulliemoz, S Momjian… - …, 2023 - Wiley Online Library
Objective Electric source imaging (ESI) of interictal epileptiform discharges (IEDs) has
shown significant yield in numerous studies; however, its implementation at most centers is …

Multilevel feature learning method for accurate interictal epileptiform spike detection

C Cheng, Y Liu, B You, Y Zhou, F Gao… - … on Neural Systems …, 2022 - ieeexplore.ieee.org
Interictal epileptiform spike (referred to as spike) detected from electroencephalograms
lasting only 20-to 200-ms can provide a reliable evidence-based indicator for clinical seizure …

Graph neural networks in EEG spike detection

AH Mohammed, M Cabrerizo, A Pinzon, I Yaylali… - Artificial Intelligence in …, 2023 - Elsevier
Objective: This study develops new machine learning architectures that are more adept at
detecting interictal epileptiform discharges (IEDs) in scalp EEG. A comparison of results …

[HTML][HTML] AI-Based Electroencephalogram Analysis in Rodent Models of Epilepsy: A Systematic Review

M Edoho, C Mooney, L Wei - Applied Sciences, 2024 - mdpi.com
About 70 million people globally have been diagnosed with epilepsy.
Electroencephalogram (EEG) devices are the primary method for identifying and monitoring …