Results 211 to 220 of about 3,887,920 (279)

EEG Biomarkers for Affective Disorders Diagnosis: An Evaluation and Validation Study. [PDF]

Hum Brain Mapp
Zhao S, Liu Y, Wang J, Zhang R, Wang Y, Jiang H, Li S, Li T, Pan G.   +8 more
europepmc   +1 more source

Detecting high‐frequency oscillations in real time during epilepsy surgery with neuromorphic hardware validated to predict postoperative seizure outcome

Epilepsia, EarlyView.
Abstract Objective High‐frequency oscillations (HFOs; 250–500 Hz) in electrocorticography (ECoG) are promising biomarkers for delineating the epileptogenic zone during epilepsy surgery. Accurate, intraoperative real‐time detection of HFOs may guide surgical resection to improve seizure outcome.
Jeroen Teurlings, Filippo Costa, Maeike Zijlmans, Maryse A. van ‘t Klooster, Giacomo Indiveri, Niklaus Krayenbühl, Murezi Capaul, Debora Ledergerber, Georgia Ramantani, Johannes Sarnthein   +9 more
wiley   +1 more source

KTU-MEDAFE: A Newly Developed Multimodal Dataset for Emotion Recognition Using EEG-Speech Decision-Level Fusion. [PDF]

Sensors (Basel)
Yilmaz BH, Mumcu B, Ozkellekci B.
europepmc   +1 more source

Comparative multicenter evaluation of thalamic neuromodulation for treatment‐resistant epilepsy in children

Epilepsia, EarlyView.
Abstract Objective Use of neuromodulation strategies targeting thalamic nuclei, including deep brain stimulation (DBS) and responsive neurostimulation (RNS), for treatment of pediatric drug‐resistant epilepsy (DRE) is increasing, despite limited evidence for efficacy and safety. We present the initial results from the Comparative Multicenter Evaluation
Samuel A. Tenhoeve, Nebras M. Warsi, Allison M. Ludwick, Adam C. Glaser, Marcella R. Ruppert‐Gomez, Scellig S. Stone, Megan Votoupal, Jeffrey S. Raskin, Shanique Doyle, Benjamin Kennedy, Deborah Grenard, Dominic Nistal, Hannah E. Goldstein, Jason S. Hauptman, Gavin Yoon, Kurtis I. Auguste, David D. Gonda, Alon Kashanian, Shaun D. Rodgers, Janette Coble, Jarod L. Roland, Nunthasiri Wittayanakorn, Chima O. Oluigbo, Somnath Das, Jasmine A. Thum, Carolina Gorodetsky, MyLoi Huynh, George M. Ibrahim, Robert J. Bollo   +28 more
wiley   +1 more source

Impact of Recording Conditions and Feature Fusion on Dementia Classification Using Spectral, Entropy, and Complexity EEG Features. [PDF]

Entropy (Basel)
Sari K, Kouchaki S, Abasolo D.
europepmc   +1 more source

Refining diagnostic boundaries and electroclinical profiles of Lennox–Gastaut syndrome through unsupervised clustering

Epilepsia, EarlyView.
Abstract Objective Lennox–Gastaut syndrome (LGS) is a developmental and epileptic encephalopathy defined by polymorphic seizures, intellectual disability (ID), and characteristic electroencephalographic (EEG) patterns. The applicability and biological validity of current electroclinical criteria remain debated.
Emanuele Cerulli Irelli, Marco Perulli, Maria S. Borioni, Anna Falco, Adolfo Mazzeo, Enrico Cocchi, Maria L. Gambardella, Alessandra Morano, Michela Quintiliani, Maria Picilli, Anna T. Giallonardo, Carlo Di Bonaventura, Domenica I. Battaglia   +12 more
wiley   +1 more source

Neurophysiological Characterization of ADHD in Children Using EEG Signals: A Machine Learning Approach to Executive Function Networks. [PDF]

Sensors (Basel)
Gutiérrez-Jácome DB, Campos-Ortuño RA, Pardo-Valenzuela JE, Gómez-Morales ÓW.   +3 more
europepmc   +1 more source

Low‐intensity focused ultrasound neuromodulation for drug‐resistant epilepsy: A randomized, sham‐controlled crossover trial

Epilepsia, EarlyView.
Abstract Objective This study was undertaken to evaluate the safety, feasibility, and efficacy of low‐intensity focused ultrasound (LIFU) as a noninvasive neuromodulation technique in patients with drug‐resistant epilepsy (DRE). Methods In this pilot, single‐blind, randomized sham‐controlled crossover trial, 12 patients with DRE underwent both LIFU and
Chien‐Chen Chou, Yen‐Cheng Shih, Yi‐Hsiu Chen, Po‐Tso Lin, Chun‐Fu Lin, Po‐Chun Chu, Hao‐Li Liu, Cheng‐Chia Lee, Hsiang‐Yu Yu   +8 more
wiley   +1 more source

Self-Concentration Detection Based on Doubled Amplitude/Phase Processing in Node PDE Modular Models. [PDF]

Biomimetics (Basel)
Zjavka L.
europepmc   +1 more source

Electroclinical features and dynamic network connectivity of orbitofrontal epilepsy

Epilepsia, EarlyView.
Abstract Objective Orbitofrontal epilepsy (OFE) is rare and underrecognized. This study aims to characterize electroclinical features and dynamic network connectivity of OFE and subtypes. Methods We retrospectively analyzed 17 patients with OFE who underwent stereoelectroencephalographic (SEEG) electrode implantation and epilepsy surgery at our center.
Meixuan Ren, Cuiping Xu, Na Clara Pan, Runshi Gao, Wei Shu, Xueyuan Wang, Xi Zhang, Li Wang, Liping Zhang, Xiaoming Yan, Xiaohua Zhang, Tao Yu, Mohamad Z Koubeissi, Yuping Wang   +13 more
wiley   +1 more source