Results 231 to 240 of about 141,252 (319)

A multi‐feature method for real‐time seizure detection in pediatric intensive care unit

Epilepsia Open, EarlyView.
Abstract Purpose Continuous electroencephalogram (cEEG) monitoring is an important technique used in detecting electroclinical seizures in the pediatric intensive care unit (PICU). This study developed an artificial intelligence method for the real‐time automatic detection of seizures in the PICU.
Tian Sang, Jiong Deng, Tong Zhao, Qi Zhang, Qiao Guan, Yanqin Lei, Yuxiang Yan, Bo Hong, Ningning Wei, Yuwu Jiang, Ying Wang   +10 more
wiley   +1 more source

Resting-state frontal electroencephalography (EEG) biomarkers for detecting the severity of chronic neuropathic pain. [PDF]

Sci Rep
Ryu S, Gwon D, Park C, Ha Y, Ahn M.
europepmc   +1 more source

Diagnostic performance of neuroimaging modalities for epileptogenic focus localization: A systematic review

Epilepsia Open, EarlyView.
Abstract Objective Accurate localization of epileptogenic foci remains of significant importance for surgical planning in drug‐resistant epilepsy. Multiple neuroimaging modalities are available; however, their comparative diagnostic performance lacks comparative detailed synthesis.
Mustafa S. Alhasan, Mohammed Khalil, Ayman S. Alhasan, Ahmed Najjar, Yasir Hassan Elhassan, Abdullah Almaghraby, Omar Alharthi, Seham Hamoud, Muhammed Amir Essibayi, Fabricio Feltrin, Sumit Singh, James Milburn, Ahmed Y. Azzam   +12 more
wiley   +1 more source

Resting-state electroencephalography (EEG) microstates of healthy individuals following mild sleep deprivation. [PDF]

Sci Rep
Khoo SY, Lai WH, On SH, On YY, Adam BM, Law WC, Ng BHS, Fong AYY, Anselm ST.   +8 more
europepmc   +1 more source

Automatic Detection of Epilepsy from Electroencephalography (EEG) Signals Using Artificial Intelligence (AI)

S.Fis Agus Widodo, Lilik Linggar Rahayuningsih   +1 more
openalex   +1 more source

On the handling of stimulation artifacts during simultaneous electroencephalography (EEG) and transcranial low field strength magnetic stimulation (LFMS)

, 2017
Vladimir Miskovic, Karl Kuntzelman, C. Alex Goddard   +2 more
openalex   +2 more sources

Correspondence between large‐scale ictal and interictal epileptic networks revealed by single photon emission computed tomography (SPECT) and electroencephalography (EEG)–functional magnetic resonance imaging (fMRI) [PDF]

, 2015
Simon Tousseyn, Patrick Dupont, Karolien Goffin, Stefan Sunaert, Wim Van Paesschen   +4 more
openalex   +1 more source

sEEG‐guided responsive neurostimulation to treat neocortical epilepsy: A multicenter retrospective study of the efficacy and safety of depth electrode‐mediated neuromodulation

Epilepsia Open, EarlyView.
Abstract Objectives Pivotal trials have established the effectiveness of the Responsive Neurostimulation System (RNS® System) in treating focal epilepsy. In clinical trials, depth leads were primarily used to treat mesial temporal seizure onsets while cortical strip leads were used to treat neocortical seizure onsets.
Sina Sadeghzadeh, David A. Purger, Priya Bhanot, Noriah Johnson, Daniel A. N. Barbosa, Yuhao Huang, Jay J. Park, Ethan Schonfeld, Matthew A. Abikenari, Bhav Jain, Joshua P. Aronson, Cornelia Drees, Tiffany L. Fisher, Jason Gerrard, Tyler E. Gray, Saadi Ghatan, Kevin Hines, Barbara C. Jobst, Ioannis Karakis, Steven G. Ojemann, Imran H. Quraishi, Ahmed M. Raslan, Michael D. Sather, Christopher T. Skidmore, Jon T. Willie, Chengyuan Wu, Ji Yeoun Yoo, Kevin D. Graber, Casey H. Halpern, Vivek P. Buch, Jonathon J. Parker   +30 more
wiley   +1 more source

Exploring the neural underpinnings of chord prediction uncertainty: an electroencephalography (EEG) study. [PDF]

Sci Rep
Ono K, Mizuochi R, Yamamoto K, Sasaoka T, Ymawaki S.   +4 more
europepmc   +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