Results 51 to 60 of about 180,531 (324)
IEEE Access, 2023 We demonstrate how to use generative adversarial networks to improve the small data problem when training brain-computer-interfaces. The new approach is based on finely graded frequency bands, which are extracted from motor imagery electroencephalography
Pascal Penava, Ricardo Buettner
doaj +1 more source
Investigation of Known Genetic Mutations of Arabian Horses in Egyptian Arabian Foals with Juvenile Idiopathic Epilepsy. [PDF]
, 2017 BackgroundThe carrier status of lavender foal syndrome (LFS), cerebellar abiotrophy (CA), severe combined immunodeficiency (SCID), and occipitoatlantoaxial malformation (OAAM1) in foals with juvenile idiopathic epilepsy (JIE) is unknown.Hypothesis ...
Aleman, M +3 more
core +1 more source
Brain-Switches for Asynchronous Brain−Computer Interfaces: A Systematic Review [PDF]
, 2020 A brain–computer interface (BCI) has been extensively studied to develop a novel communication system for disabled people using their brain activities. An asynchronous BCI system is more realistic and practical than a synchronous BCI system, in that, BCI
Han, Chang-Hee +2 more
core +1 more source
Advanced Science, EarlyView.This study identifies DEC2 as a critical transcriptional repressor of Scn2a that directly binds E‐box motifs in its promoter to regulate neuronal plasticity and epileptogenesis. Functional manipulation of DEC2 alters seizure susceptibility in vivo. Cannabidiol enhances this repression, unveiling a novel DEC2‐SCN2A axis underlying its anticonvulsant ...
Huifang Song +24 more
wiley +1 more source
Intraoperative Neurophysiological Monitoring for Endoscopic Endonasal Approaches to the Skull Base: A Technical Guide. [PDF]
, 2016 Intraoperative neurophysiological monitoring during endoscopic, endonasal approaches to the skull base is both feasible and safe. Numerous reports have recently emerged from the literature evaluating the efficacy of different neuromonitoring tests during
Doan, Adam T. +6 more
core +3 more sources
Advanced Science, EarlyView.BrainFusion is a low‐code software framework for multimodal brain–computer interface (BCI) and brain–body interaction research. It supports electroencephalography (EEG), functional near‐infrared spectroscopy (fNIRS), electromyography (EMG), and electrocardiography (ECG) integration with standardized preprocessing, feature fusion, and model ...
Wenhao Li +10 more
wiley +1 more source
Use of amplitude-integrated electroencephalography in decision-making for extracorporeal membrane oxygenation in comatose cardiac arrest patients whose eventual neurologic recovery is uncertain [PDF]
Clinical and Experimental Emergency Medicine, 2019 Comatose cardiac arrest patients frequently experience cardiogenic shock or recurrent arrest. Extracorporeal membrane oxygenation (ECMO) can be used to salvage patients with cardiogenic shock or cardiac arrest refractory to conventional therapies ...
Byung Kook Lee +4 more
doaj +1 more source
Getting the best outcomes from epilepsy surgery. [PDF]
, 2018 Neurosurgery is an underutilized treatment that can potentially cure drug-refractory epilepsy. Careful, multidisciplinary presurgical evaluation is vital for selecting patients and to ensure optimal outcomes.
Duncan, John S +5 more
core
Syncope and electroencephalography [PDF]
Brain, 2014 Sir, van Dijk and colleagues have made an impressive scientific analysis of the relation between the clinical features during head-up-tilt induced syncope in adults and the simultaneous EEG findings (van Dijk et al. , 2014). In particular, these authors have drawn attention to the semiology associated with the ‘classical’ slow-flat-slow EEG pattern ...
openaire +3 more sources
Advanced Science, EarlyView.This study examines how the human hippocampus encodes visual memory categories. By decoding spiking activity from CA3 and CA1 neurons using an interpretable model, it reveals that category‐specific representations emerge from distributed temporal coding.
Xiwei She +17 more
wiley +1 more source