Latest AI and machine learning research in seizures for healthcare professionals.
Objective Quantitative assessment of extent of tissue resection following epilepsy surgery requires ...
Brain foundation models have achieved remarkable advances across a wide range of neuroscience tasks....
Importance: Tracking and predicting seizure frequency in patients with epilepsy is important for pro...
Study Objectives Automated sleep staging underpins clinical sleep assessment and translational neuro...
Electroencephalogram (EEG) signals have become a popular medium for decoding visual information due ...
Decoding brain activity from electroencephalography (EEG) is crucial for neuroscience and clinical a...
An electroencephalogram (EEG) records the spatially averaged electrical activity of neurons in the b...
Quantifying uncertainty in clinical predictions is critical for high-stakes diagnosis tasks. Conform...
Background Epilepsy is a common neurologic disorder characterized by recurrent, unprovoked seizures....
Alzheimer's disease (AD) alters brain electrophysiology and disrupts multichannel EEG dynamics, maki...
Electroencephalography (EEG) foundation models (EFMs) have achieved strong performance under full fi...
Developing foundation models for electroencephalography (EEG) remains challenging due to the signal'...
Interictal epileptiform discharges (IEDs) are pathological hypersynchronous bursts of electrical bra...
The main challenges in the life of a child with autism are difficulties in communication, behavior, ...
Objective: We developed and validated a detection-guided artifact removal framework for clinical ele...
Brain Foundation Models (BFMs) are transforming neuroscience by enabling scalable and transferable l...
Automated EEG monitoring requires clinician-level precision for seizure detection and reporting. Cli...
Cognitive load, the mental effort required during working memory, is central to neuroscience, psycho...
Isolated REM sleep behavior disorder (iRBD) is a key prodromal marker of Parkinson's disease (PD), a...
To be practical for real-life applications, models for brain-computer interfaces must be easily and ...
Isolated REM sleep behavior disorder (iRBD) is a key prodromal marker of Parkinson's disease (PD), a...