Neurology

Graph Convolutional Neural Network based Depression Detection using Brain Functional Connectivity Measures.

The structural and functional connectivity of the brain network is a combination of complex connecti...

Comparative Outcomes of a Pediatric Walking Rehabilitation Robot Combined With Repetitive Transcranial Magnetic Stimulation in Children With Spastic Cerebral Palsy: Protocol for a Prospective Observational Study.

BACKGROUND: Cerebral palsy (CP) is a prevalent neurodevelopmental disorder in children, often leadin...

An improved catch fish optimization based deep learning model for Parkinson disease classification using EEG signal.

Accurate and objective identification of Parkinson's Disease (PD) from Electroencephalogram (EEG) si...

Metaheuristic hyperparameter optimization of deep neural networks for demographic-aware autism spectrum disorder classification.

Autism Spectrum Disorder (ASD) classification from neuroimaging data poses significant challenges du...

Identification of biomarkers of cerebral infarction related to ferroptosis and ubiquitin-proteasome system based on transcriptomics and the experimental validation.

Cerebral infarction is a neurological disease with complex pathological mechanisms. This study aimed...

Facial phenotypes in Alzheimer's disease: from neurobiology to artificial intelligence.

Facial analysis is increasingly being explored as a source of scalable behavioral signals relevant t...

Deep contrastive learning framework identifies cell-type-specific drug targets in Alzheimer's disease.

INTRODUCTION: Identifying disease-modifying drug targets is crucial for developing effective Alzheim...

Artificial intelligence in headache care.

Cochlear aging after synaptopathic noise: age-noise interactions in hair cell loss and axonal degeneration.

Despite many studies of cochlear synaptic loss and/or recovery after acoustic injury, none has follo...

Abrupt Scene Onsets and Gradually Emerging Scene Information Produce Distinct EEG Decoding Dynamics.

Multivariate analyses of M/EEG data are typically performed on neural responses time-locked to discr...

Advances in 3D cell culture models for alzheimer's disease drug discovery.

INTRODUCTION: Alzheimer's Disease (AD) affects more than 57 million people, yet drug development fac...

Orchestrator multi-agent clinical decision support system for secondary headache diagnosis in primary care.

OBJECTIVE: Secondary headaches require urgent recognition due to potentially devastating consequence...

Integrated machine learning, molecular docking, and molecular dynamics simulations for in silico identification of GSK3β inhibitors for Alzheimer's disease.

Glycogen Synthase Kinase-3 Beta is a multifunctional serine/threonine kinase, involved in regulating...

Machine learning classification and regional differentiation of neuropathologically-confirmed Alzheimer's disease and comorbid Lewy body disease.

BACKGROUND: Alzheimer's disease (AD) and dementia with Lewy bodies (DLB) co-occur frequently, and gr...

A Robust Voice-Based Parkinson's Disease Diagnosis Model via Semantic RGB Feature Transformation and Hybrid Deep Learning.

Reliable diagnosis of Parkinson's disease (PD) in its early stages is of vital importance for suppor...

Real-time EEG-based epileptic seizure prediction using artificial intelligence: A systematic review.

BACKGROUND: Epilepsy affects approximately 50 million people worldwide. While AI-driven seizure pred...

The natural isoflavone puerarin mitigates cerebral ischemia-reperfusion injury by directly targeting CaMKⅡδ to block DLG4-Ser654 phosphorylation.

BACKGROUND: Synaptic collapse drives severe neurological deficits following cerebral ischemia-reperf...

An EMI-suppressed, high-fidelity Janus bioelectrode with gradient impedance for accurate dual-biosignal-based motion recognition.

Accurate acquisition of bioelectrical signals like electromyography (EMG) and electrocardiography (E...

Metaheuristic-driven machine learning study for early detection and classification of Parkinson's disease using feature prioritization with pelican optimization algorithm.

Parkinson disease (PD) is a degenerative disorder of the brain and afflicts approximately 6 in 10 pe...

A Physics-Informed Deep Learning Framework for Estimating Muscle Activation Patterns Following Achilles Tendon Repair.

Accurate soleus (SOL) activation assessment is essential for Achilles tendon rupture (ATR) recovery,...

Deep Learning Assisted Heteroporous Covalent Organic Framework Hydrogels Enable Dual-Mode Tracking and Analysis to Parkinson's Management.

Resting tremor and dopamine dysregulation are closely linked in the pathophysiology of Parkinson's d...