Neurology

Seizures

Latest AI and machine learning research in seizures for healthcare professionals.

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PhysioMotion Artifact: A Task-Driven EEG Dataset with Channel-Level Motion Artifact Annotations

Physiological artifacts pose persistent challenges in electroencephalo-gram (EEG) data acquisition, ...

Circadian and Sleep-Wake Modulation of Functional Connectivity Across Brain Oscillations and States Linked to Cognition in Humans

Sleep and circadian rhythms both contribute to cognitive performance, but the underlying neuronal ne...

Effect of Large Language Models on P300 Speller Performance with Cross-Subject Training

Amyotrophic lateral sclerosis (ALS), a progressive neuromuscular degenerative disease, rapidly impai...

Transformer Networks Enable Robust Generalization of Source Localization for EEG Measurements

An electroencephalogram (EEG) is an electrical measurement of brain activity using electrodes placed...

Automated Seizure Detection in Animal EEG Signals

Automated seizure detection in animal electroencephalography (EEG) is crucial for accelerating epile...

Data-driven identification of functional networks in artificial and biological neural networks

Understanding how the brain represents information is a central challenge in neuroscience and a prac...

Cognitive and brain function enhancement in Gen X group after personalized, AI supervised EEG-neurofeedback training

Interventions supporting medical care and enhancing quality of life in neurodegenerative or age-rela...

Model-based EEG phenotyping uncovers distinct neurocomputational mechanisms underlying learning impairments across psychopathologies

Major depressive disorder (MDD), bipolar disorder (BP), and schizophrenia (SCZ) involve learning imp...

A Neurodevelopment-Inspired Deep Spiking Neural Network for Auditory Spatial Attention Detection using Single Trial EEG

This study presents a deep probabilistic spiking neural network designed to extract discriminative s...

“Rapid prototyping of flexible biodegradable ECoG arrays for high-resolution cortical mapping and real-time seizure classification ”

Neural interfaces are essential tools for diagnosing and managing neurological disorders, yet conven...

An EEG-based Multi-Scale Hybrid Attention and Squeeze Network for objective taste assessment

Taste perception is central to flavor experiences. Electroencephalography (EEG) signals carry rich i...

The footprint of colour in EEG signal

Our perception of the world is inherently colourful, and colour provides well-documented benefits fo...

Direct Prediction of the Complex-Valued Analytic Signal of EEG from Raw Multichannel Data

Accurate estimation of instantaneous neural dynamics is essential for electroencephalography (EEG)-b...

Network Rerouting Under Ayahuasca: Temporally and Hemisphere-Resolved EEG Connectomics

Ayahuasca profoundly alters conscious experience, yet robust, time-resolved EEG markers of its netwo...

Motion sequencing reveals hidden patterns of repetitive behavior in a mouse model of epilepsy

Epilepsy is the 4th most prevalent neurological condition with 50 million cases worldwide. Patients ...

Temporal Dynamics of High-Frequency Oscillations in Alzheimer’s Disease: A Longitudinal Study in hAPP-J20 Mice

Alzheimer’s disease (AD) is characterized by progressive cognitive decline and increased seizure sus...

Pre-movement neural population activity in human motor cortex reflects the subsequent outcome of futsal free kicks

Recent sports science studies suggest that optimizing neural activity can enhance motor performance,...

Heart rate fragmentation improves general anesthesia state classification using machine learning

Accurate assessment of consciousness during general anesthesia is crucial for optimizing anesthetic ...

High density EEG and deep learning improves outcome prediction on the first day of coma after cardiac arrest

We assessed outcome prediction of comatose patients using a deep learning analysis applied to restin...

VIDEO BASED DETECTION OF EPILEPTIC SEIZURES USING A THREE-DIMENSIONAL CONVOLUTIONAL NEURAL NETWORK

Seizure detection in epilepsy monitoring units (EMU) is essential for the clinical assessment of dru...

Enhancing Rare Disease Education through AI-Driven Podcast Generation

Rare diseases, including many rare genetic epilepsies and neurodevelopmental disorders, present sign...

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