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Neurology Subcategories: Autism Dementia Head Trauma Parkinson's Disease Seizures Sleep Disorders

Showing 316-336 of 3,730 articles

TFTL: A Task-Free Transfer Learning Strategy for EEG-Based Cross-Subject and Cross-Dataset Motor Imagery BCI.

OBJECTIVE: Motor imagery-based brain-computer interfaces (MI-BCIs) have been playing an increasingly...

Jan 2025 PMID: 39365711

Deep Learning-Based Tract Classification of Preoperative DWI Tractography Advances the Prediction of Short-Term Postoperative Language Improvement in Children With Drug-Resistant Epilepsy.

OBJECTIVE: To develop an innovative deep convolutional neural network (DCNN)-based tract classificat...

Jan 2025 PMID: 39292577

Deep Clustering for Epileptic Seizure Detection.

UNLABELLED: Epilepsy is a neurological disorder characterized by recurrent epileptic seizures, which...

Jan 2025 PMID: 39255079

Model-agnostic meta-learning for EEG-based inter-subject emotion recognition.

. Developing an efficient and generalizable method for inter-subject emotion recognition from neural...

Jan 2025 PMID: 39622162

Machine Learning-Based Diagnosis of Chronic Subjective Tinnitus With Altered Cognitive Function: An Event-Related Potential Study.

OBJECTIVES: Due to the absence of objective diagnostic criteria, tinnitus diagnosis primarily relies...

Jan 2025 PMID: 40232877

Alzheimer's disease diagnosis using rhythmic power changes and phase differences: a low-density EEG study.

OBJECTIVES: The future emergence of disease-modifying treatments for dementia highlights the urgent ...

Jan 2025 PMID: 39897456

Diagnosing Epilepsy with Normal Interictal EEG Using Dynamic Network Models.

OBJECTIVE: Whereas a scalp electroencephalogram (EEG) is important for diagnosing epilepsy, a single...

Jan 2025 PMID: 39817338

Parallel convolutional neural network and empirical mode decomposition for high accuracy in motor imagery EEG signal classification.

In recent years, the utilization of motor imagery (MI) signals derived from electroencephalography (...

Jan 2025 PMID: 39820611

Working-memory load decoding model inspired by brain cognition based on cross-frequency coupling.

Working memory, a fundamental cognitive function of the brain, necessitates the evaluation of cognit...

Jan 2025 PMID: 39824230

Screening of Aβ and phosphorylated tau status in the cerebrospinal fluid through machine learning analysis of portable electroencephalography data.

Diagnosing Alzheimer's disease (AD) through pathological markers is typically costly and invasive. T...

Jan 2025 PMID: 39820097

Supervised Contrastive Learning-Based Domain Generalization Network for Cross-Subject Motor Decoding.

Developing an electroencephalogram (EEG)-based motor imagery and motor execution (MI/ME) decoding sy...

Jan 2025 PMID: 39046861

A Synergy of Convolutional Neural Networks for Sensor-Based EEG Brain-Computer Interfaces to Enhance Motor Imagery Classification.

Enhancing motor disability assessment and its imagery classification is a significant concern in con...

Jan 2025 PMID: 39860813

Opportunities and Challenges for Clinical Practice in Detecting Depression Using EEG and Machine Learning.

Major depressive disorder (MDD) is associated with substantial morbidity and mortality, yet its diag...

Jan 2025 PMID: 39860780

Partial directed coherence analysis of resting-state EEG signals for alcohol use disorder detection using machine learning.

INTRODUCTION: Excessive alcohol consumption negatively impacts physical and psychiatric health, life...

Jan 2025 PMID: 39867451

Neurology

Browse Specialties

TFTL: A Task-Free Transfer Learning Strategy for EEG-Based Cross-Subject and Cross-Dataset Motor Imagery BCI.

Deep Learning-Based Tract Classification of Preoperative DWI Tractography Advances the Prediction of Short-Term Postoperative Language Improvement in Children With Drug-Resistant Epilepsy.

Deep Clustering for Epileptic Seizure Detection.

Model-agnostic meta-learning for EEG-based inter-subject emotion recognition.

Machine Learning-Based Diagnosis of Chronic Subjective Tinnitus With Altered Cognitive Function: An Event-Related Potential Study.

Alzheimer's disease diagnosis using rhythmic power changes and phase differences: a low-density EEG study.

Diagnosing Epilepsy with Normal Interictal EEG Using Dynamic Network Models.

Parallel convolutional neural network and empirical mode decomposition for high accuracy in motor imagery EEG signal classification.

Working-memory load decoding model inspired by brain cognition based on cross-frequency coupling.

Screening of Aβ and phosphorylated tau status in the cerebrospinal fluid through machine learning analysis of portable electroencephalography data.

Supervised Contrastive Learning-Based Domain Generalization Network for Cross-Subject Motor Decoding.

A Synergy of Convolutional Neural Networks for Sensor-Based EEG Brain-Computer Interfaces to Enhance Motor Imagery Classification.

Opportunities and Challenges for Clinical Practice in Detecting Depression Using EEG and Machine Learning.

Partial directed coherence analysis of resting-state EEG signals for alcohol use disorder detection using machine learning.

A Fine-grained Hemispheric Asymmetry Network for accurate and interpretable EEG-based emotion classification.

Utilizing natural language processing to identify pediatric patients experiencing status epilepticus.

EEG microstate analysis and machine learning classification in patients with obsessive-compulsive disorder.

Interpretable Multi-Branch Architecture for Spatiotemporal Neural Networks and Its Application in Seizure Prediction.

Multiscale Spatial-Temporal Feature Fusion Neural Network for Motor Imagery Brain-Computer Interfaces.

MFRC-Net: Multi-Scale Feature Residual Convolutional Neural Network for Motor Imagery Decoding.

An EEG-based emotion recognition method by fusing multi-frequency-spatial features under multi-frequency bands.

Browse Specialties