Results 61 to 70 of about 48,794 (279)
Cross-Modal Data Programming Enables Rapid Medical Machine Learning
, 2019 Labeling training datasets has become a key barrier to building medical machine learning models. One strategy is to generate training labels programmatically, for example by applying natural language processing pipelines to text reports associated with ...
Dunnmon, Jared +10 more
core +1 more source
EEG oscillations during sleep and dream recall. State- or trait-like individual differences? [PDF]
, 2015 Dreaming represents a peculiar form of cognitive activity during sleep. On the basis of the well-known relationship between sleep and memory, there has been a growing interest in the predictive role of human brain activity during sleep on dream recall ...
D'ATRI, AURORA +4 more
core +2 more sources
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Subtotal hippocampal resection can leave residual hippocampal tissue, yet the immediate postoperative electrophysiologic evolution of such remnants is unknown. We describe a patient with drug‐resistant temporal lobe epilepsy in whom a hippocampal remnant was continuously monitored using a responsive neurostimulator (RNS) following subtotal ...
Patrick Hartnett +5 more
wiley +1 more source
Using a standalone ear-EEG device for focal-onset seizure detection
Bioelectronic MedicineBackground Seizure detection is challenging outside the clinical environment due to the lack of comfortable, reliable, and practical long-term neurophysiological monitoring devices. We developed a novel, discreet, unobstructive in-ear sensing system that
McGregor Joyner +12 more
doaj +1 more source
The human K-complex: Insights from combined scalp-intracranial EEG recordings
NeuroImage, 2020 Sleep spindles and K-complexes (KCs) are a hallmark of N2 sleep. While the functional significance of spindles is comparatively well investigated, there is still ongoing debate about the role of the KC: it is unclear whether it is a cortical response to ...
Véronique Latreille +5 more
doaj +1 more source
, 2018 Implantable, closed-loop devices for automated early detection and stimulation of epileptic seizures are promising treatment options for patients with severe epilepsy that cannot be treated with traditional means.
Blum, Manuel +8 more
core +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Chimeric antigen receptor (CAR) T‐cell therapy has been investigated in neurological diseases, encompassing both central nervous system malignancies and autoimmune disorders, thereby extending its application beyond hematological cancers.
Omar Alqaisi +5 more
wiley +1 more source
Electroencephalogram of Healthy Horses During Inhaled Anesthesia. [PDF]
, 2015 BackgroundPrevious study of the diagnostic validity of electroencephalography (EEG) to detect abnormalities in equine cerebral cortical function relied on the administration of various drugs for sedation, induction, and maintenance of general anesthesia ...
Aleman, MR +8 more
core +1 more source
Intracranial EEG recording in autoimmune epilepsy dataset
Data in Brief, 2019 The appearance of seizures in autoimmune epilepsy on intracranial recordings has not been previously demonstrated. The following data shows a multifocal epilepsy in a patient with seronegative autoimmune epilepsy (reported here; "Electroclinical Insights into Autoimmune Epilepsy", Gillinder, 2019).
Lisa Gillinder, Sasha Dionisio
openaire +4 more sources
Quantifying interictal intracranial EEG to predict focal epilepsy
ArXiv, 2023 Intracranial EEG (IEEG) is used for 2 main purposes, to determine: (1) if epileptic networks are amenable to focal treatment and (2) where to intervene. Currently these questions are answered qualitatively and sometimes differently across centers. There is a need for objective, standardized methods to guide surgical decision making and to enable large ...
Gallagher, Ryan S +12 more
openaire +3 more sources