Latest AI and machine learning research in seizures for healthcare professionals.
BACKGROUND: Out-of-hospital cardiac arrest (OHCA) survival in China remains critically low due to li...
Due to large intra-subject and inter-subject variabilities of electroencephalogram (EEG) signals, EE...
OBJECTIVE: Closed-loop neurostimulation is a promising treatment for drug-resistant focal epilepsy. ...
Electroencephalography (EEG) is a noninvasive technique for studying brain electrophysiology with h...
BackgroundThe retrogenesis hypothesis (RH) suggests that the functional and cognitive decline observ...
OBJECTIVE: Electroencephalography (EEG) is a method that offers detailed observations of electrical ...
γ neuromodulation has emerged as a promising strategy for addressing neurological and psychiatric di...
Accurate localization of the epileptogenic zone (EZ) is crucial for epilepsy surgery, but the class ...
Epilepsy is a neurological disorder characterized by recurrent seizures caused by abnormal brain act...
The prediction of epileptic seizures heavily depends on the precise embedding and classification of ...
In recent years, cross-frequency coupling (CFC) has emerged as a valuable tool in the study of a wid...
Laser interstitial thermal therapy (LiTT) has emerged as a minimally invasive, MRI-guided treatment ...
Over the past 20 years, responsive neurostimulation (RNS), a closed-loop device for treating certain...
OBJECTIVE: Prognostication in patients with disorders of consciousness (DOCs) remains challenging be...
Numerous neurological conditions impact the brain, spinal cord, and nerves, including neurodegenerat...
The dynamic propagation of epileptic discharges complicates Drug-Resistant Epilepsy (DRE) seizure de...
BACKGROUND: Neuroimaging studies have linked the beneficial effects of subanaesthetic ketamine doses...
PURPOSE: Epilepsy surgery is a potential curative treatment for people with focal epilepsy. Intraope...
Status epilepticus (SE) can be regarded as the most severe expression of seizure activity characteri...
Low-beta (L, 13-20 Hz) power plays a key role in upper-limb motor control and afferent processing, m...
Electroencephalographic (EEG) microstates, as a non-invasive and high-temporal-resolution tool for a...