[HTML][HTML] Epileptic seizures detection using deep learning techniques: a review
A variety of screening approaches have been proposed to diagnose epileptic seizures,
using electroencephalography (EEG) and magnetic resonance imaging (MRI) modalities …
using electroencephalography (EEG) and magnetic resonance imaging (MRI) modalities …
[HTML][HTML] Sleep disruption worsens seizures: neuroinflammation as a potential mechanistic link
H Bonilla-Jaime, H Zeleke, A Rojas… - International journal of …, 2021 - mdpi.com
Sleep disturbances, such as insomnia, obstructive sleep apnea, and daytime sleepiness,
are common in people diagnosed with epilepsy. These disturbances can be attributed to …
are common in people diagnosed with epilepsy. These disturbances can be attributed to …
Electrical brain stimulation and continuous behavioral state tracking in ambulatory humans
Objective. Electrical deep brain stimulation (DBS) is an established treatment for patients
with drug-resistant epilepsy. Sleep disorders are common in people with epilepsy, and DBS …
with drug-resistant epilepsy. Sleep disorders are common in people with epilepsy, and DBS …
[HTML][HTML] EEG features in autism Spectrum disorder: a retrospective analysis in a cohort of preschool children
ME Santarone, S Zambrano, N Zanotta, E Mani… - Brain Sciences, 2023 - mdpi.com
Autism Spectrum Disorder (ASD) is a complex neurodevelopmental disorder that can be
associated with intellectual disability (ID) and epilepsy (E). The etiology and the …
associated with intellectual disability (ID) and epilepsy (E). The etiology and the …
[HTML][HTML] Reduced REM sleep: a potential biomarker for epilepsy–a retrospective case-control study
U Sadak, P Honrath, U Ermis, J Heckelmann, T Meyer… - Seizure, 2022 - Elsevier
Objective Establishing the diagnosis of epilepsy can be challenging if interictal epileptic
discharges (IEDs) or seizures are undetectable. Many individuals with epilepsy experience …
discharges (IEDs) or seizures are undetectable. Many individuals with epilepsy experience …
[HTML][HTML] Vagus nerve stimulation elicits sleep EEG desynchronization and network changes in responder patients in epilepsy
Neural desynchronization was shown as a key mechanism of vagus nerve stimulation (VNS)
action in epilepsy, and EEG synchronization measures are explored as possible response …
action in epilepsy, and EEG synchronization measures are explored as possible response …
The association of nocturnal seizures and interictal cardiac/central autonomic function in frontal lobe epilepsy: heart rate variability and central autonomic network …
W Kim, H Lee, KW Lee, E Yang… - … Disease and Treatment, 2023 - Taylor & Francis
Purpose Patients with epilepsy frequently experience autonomic dysfunction, closely related
to sudden unexplained death in epilepsy (SUDEP). SUDEP occurs most often at night or …
to sudden unexplained death in epilepsy (SUDEP). SUDEP occurs most often at night or …
[HTML][HTML] Chronobiology of epilepsy and sudden unexpected death in epilepsy
BL Kreitlow, W Li, GF Buchanan - Frontiers in neuroscience, 2022 - frontiersin.org
Epilepsy is a neurological disease characterized by spontaneous, unprovoked seizures.
Various insults render the brain hyperexcitable and susceptible to seizure. Despite there …
Various insults render the brain hyperexcitable and susceptible to seizure. Despite there …
Sleep disorders in patients with neurologic disease
JK Lee-Iannotti - CONTINUUM: Lifelong Learning in Neurology, 2023 - journals.lww.com
Sleep Disorders in Patients with Neurologic Disease : CONTINUUM: Lifelong Learning in
Neurology Account Register Activate Subscription Help Subscribe American Academy of …
Neurology Account Register Activate Subscription Help Subscribe American Academy of …
First seizure from sleep: clinical features and prognosis
ND Lawn, EW Pang, J Lee, JW Dunne - Epilepsia, 2023 - Wiley Online Library
Objectives Patients with a first‐ever unprovoked seizure commonly have subsequent
seizures and identifying predictors of recurrence has important management implications …
seizures and identifying predictors of recurrence has important management implications …