Results 251 to 260 of about 96,332 (312)

The multiple hit model of infantile and epileptic spasms: The 2025 update

Epilepsia Open, EarlyView.
Abstract Objective Infantile and epileptic spasms syndrome (IESS) is a developmental and epileptic encephalopathy manifesting with epileptic spasms and poor neurodevelopmental outcomes. There is an urgent need for the development of more effective and tolerated therapies.
Aristea S. Galanopoulou, Wenzhu B. Mowrey, Wei Liu, Anna Maria Katsarou, Qianyun Li, Oleksii Shandra, Solomon L. Moshé   +6 more
wiley   +1 more source

Detection of interictal epileptiform discharges using multiple bilateral insertions of a newly developed microcatheter‐compatible endovascular electroencephalogram electrode: A clinical feasibility trial

Epilepsia Open, EarlyView.
Abstract Objective To assess the feasibility, technical performance, and safety of a novel endovascular electroencephalogram (eEEG) electrode, EP‐01, designed for minimally invasive seizure localization in patients with drug‐resistant epilepsy. Methods This single‐center, prospective, exploratory trial enrolled five patients with drug‐resistant ...
Kota Araki, Yosuke Masuda, Ayataka Fujimoto, Mitsuyo Nishimura, Hisayuki Hosoo, Hiroki Ishida, Takashi Enokizono, Kensuke Kawai, Eiichi Ishikawa, Yuji Matsumaru   +9 more
wiley   +1 more source

ENCEVIS: Evaluating the feasibility of an AI‐based algorithm as an assistant to neurophysiologists in clinical practice

Epilepsia Open, EarlyView.
Abstract Objective This study evaluated the performance of the ENCEVIS artificial intelligence (AI)‐based algorithm as a screening tool to predict the presence of ictal and/or interictal epileptiform discharges (IEDs) in electroencephalography (EEG) recordings.
Aleksandre Tsereteli, Natela Okujava, Nikoloz Malashkhia, Tamar Sakvarelidze   +3 more
wiley   +1 more source

How to report neurotechnology and artificial intelligence studies in epilepsy: Peer‐review‐inspired recommendations

Epilepsia Open, EarlyView.
Abstract Objective The integration of neurotechnology and artificial intelligence (AI) in epilepsy research has led to significant advancements in diagnosis, monitoring, and treatment. However, the impact of these innovations is often diminished by inadequate and inaccurate reporting, limiting their reproducibility and implementation.
Pedro F. Viana, Matthew McWilliam, Andrea Biondi, Jesus Servando Medel‐Matus, Naoto Kuroda, Giulia Sofia Cereda, Aristea S. Galanopoulou   +6 more
wiley   +1 more source

Statistical mechanics of neocortical interactions: Portfolio of physiological indicators [PDF]

L. Ingber
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Review on Mathematical Modelling of Electroencephalography (EEG)

Jahresbericht der Deutschen Mathematiker-Vereinigung, 2018
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Darbas, Marion, Lohrengel, Stéphanie
openaire   +3 more sources

Electroencephalography (EEG)

2009
The scalp electroencephalogram (EEG)/magnetoencephalogram (MEG) occupies an important position as a diagnostic and research tool because of four main characteristics: (1) it has an exceedingly high time resolution, (2) it is noninvasive, (3) it is simple to record and it is inexpensive, and (4) it is the only technique by means of which the dynamics of
Lopes da Silva, F. H., Gonçalves, S. I., de Munck, J. C.   +2 more
openaire   +2 more sources

Basics of Electroencephalography (EEG)

2016
Electroencephalography (EEG) is the noninvasive recording and measuring of the electrical activity of the cerebral cortex, with surface EEG performed via electrodes placed on the scalp. The recorded voltage activity is the net difference between ionic current flows within the brain, controlled by N-methyl-D-aspartate (NMDA) glutamate receptors becoming
Abdul Qayyum Rana, Ali T. Ghouse, Raghav Govindarajan   +2 more
openaire   +1 more source

Immersive EEG: Evaluating Electroencephalography in Virtual Reality

2019 IEEE Conference on Virtual Reality and 3D User Interfaces (VR), 2019
We investigate the feasibility of combining off-the-shelf virtual reality headsets and electroencephalography. EEG is a highly sensitive tool and subject to strong distortions when exerting physical force like mounting a VR headset on top of it that twists sensors and cables.
Jan-Philipp Tauscher, Fabian Wolf Schottky, Steve Grogorick, Paul Maximilian Bittner, Maryam Mustafa, Marcus A. Magnor   +5 more
openaire   +1 more source

Detection of Brain Stroke using Electroencephalography (EEG)

2019 13th International Conference on Sensing Technology (ICST), 2019
This paper focuses on identifying an approach to identify stroke non-invasively and cost-effectively using Electroencephalography (EEG). Brain stroke occurs when blood flow to the brain is interrupted and brain cells are deprived of oxygen and nutrients and they begin to collapse. In order to detect a brain stroke, generally a CT scan or MRI is done to
Pinanshu Garg, Prateek Kumar 0004, Kshitij Shakya, Dheeraj Khurana, Shubhajit Roy Chowdhury   +4 more
openaire   +1 more source