Neurology

Seizures

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

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Showing 2206-2226 of 4,541 articles
Novel neural activity profiles underlying inhibitory control deficits of clinical relevance in ADHD - insights from EEG tensor decomposition.

BACKGROUND: Attention-Deficit-Hyperactivity Disorder (ADHD) is a multifaceted neurodevelopmental dis...

May 2025 40350038
Wearable sleep recording augmented by artificial intelligence for Alzheimer's disease screening.

The recent emergence of wearable devices will enable large scale remote brain monitoring. This study...

May 2025 40346113
EEG-based Signatures of Schizophrenia, Depression, and Aberrant Aging: A Supervised Machine Learning Investigation.

BACKGROUND: Electroencephalography (EEG) is a noninvasive, cost-effective, and robust tool, which di...

May 2025 39248267
ALFEE: Adaptive Large Foundation Model for EEG Representation

While foundation models excel in text, image, and video domains, the critical biological signals, ...

Depolarization block induction via slow NaV1.1 inactivation in Dravet syndrome

Dravet syndrome is a developmental and epileptic encephalopathy, characterized by the early onset ...

Closed-loop control of seizure activity via real-time seizure forecasting by reservoir neuromorphic computing

Closed-loop brain stimulation holds potential as personalized treatment for drug-resistant epileps...

Low-dimensional representation of brain networks for seizure risk forecasting

Identifying preictal states -- periods during which seizures are more likely to occur -- remains a...

KnowEEG: Explainable Knowledge Driven EEG Classification

Electroencephalography (EEG) is a method of recording brain activity that shows significant promis...

Adaptive Dynamic Surface Control of Epileptor Model Based on Nonlinear Luenberger State Observer.

Epilepsy is a prevalent neurological disorder characterized by recurrent seizures, which are sudden ...

May 2025 40170423
Mental state classification based on electroencephalogram (EEG) using multiclass support vector machine.

INTRODUCTION: Mental state refers to a person's state of mind from various perspectives, including c...

May 2025 40437725
An Integrated Electroencephalography and Eye-Tracking Analysis Using eXtreme Gradient Boosting for Mental Workload Evaluation in Surgery.

ObjectiveWe aimed to develop advanced machine learning models using electroencephalogram (EEG) and e...

May 2025 39325959
Juvenile Myoclonic Epilepsy Imaging Endophenotypes and Relationship With Cognition and Resting-State EEG.

Structural neuroimaging studies of patients with Juvenile Myoclonic Epilepsy (JME) typically present...

May 2025 40347042
xEEGNet: Towards Explainable AI in EEG Dementia Classification

This work presents xEEGNet, a novel, compact, and explainable neural network for EEG data analysis...

NRevisit: A Cognitive Behavioral Metric for Code Understandability Assessment

Measuring code understandability is both highly relevant and exceptionally challenging. This paper...

Subject-independent Classification of Meditative State from the Resting State using EEG

While it is beneficial to objectively determine whether a subject is meditating, most research in ...

Neuroadaptive Haptics: Comparing Reinforcement Learning from Explicit Ratings and Neural Signals for Adaptive XR Systems

Neuroadaptive haptics offers a path to more immersive extended reality (XR) experiences by dynamic...

Dynamic Difficulty Adjustment With Brain Waves as a Tool for Optimizing Engagement

This study explores the use of electroencephalography (EEG)-based brain wave monitoring to enable ...

Mind2Matter: Creating 3D Models from EEG Signals

The reconstruction of 3D objects from brain signals has gained significant attention in brain-comp...

Early Detection of Cognitive Impairment in Elderly using a Passive FPVS-EEG BCI and Machine Learning -- Extended Version

Early dementia diagnosis requires biomarkers sensitive to both structural and functional brain cha...

Time-varying EEG spectral power predicts evoked and spontaneous fMRI motor brain activity

Simultaneous EEG-fMRI recordings are increasingly used to investigate brain activity by leveraging...

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