Neurology

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

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Effects of Gait Rehabilitation Robot Combined with Electrical Stimulation on Spinal Cord Injury Patients' Blood Pressure.

BACKGROUND: Orthostatic hypotension can occur during acute spinal cord injury (SCI) and subsequently...

Machine learning reveals sex differences in distinguishing between conduct-disordered and neurotypical youth based on emotion processing dysfunction.

BACKGROUND: Theoretical models of conduct disorder (CD) highlight that deficits in emotion recogniti...

Knowledge Distillation Guided Interpretable Brain Subgraph Neural Networks for Brain Disorder Exploration.

The human brain is a highly complex neurological system that has been the subject of continuous expl...

CDNA-SNN: A New Spiking Neural Network for Pattern Classification Using Neuronal Assemblies.

Spiking neural networks (SNNs) mimic their biological counterparts more closely than their predecess...

Deep Multiview Module Adaption Transfer Network for Subject-Specific EEG Recognition.

Transfer learning is one of the popular methods to solve the problem of insufficient data in subject...

Reconstruction of Adaptive Leaky Integrate-and-Fire Neuron to Enhance the Spiking Neural Networks Performance by Establishing Complex Dynamics.

Since digital spiking signals can carry rich information and propagate with low computational consum...

Community Graph Convolution Neural Network for Alzheimer's Disease Classification and Pathogenetic Factors Identification.

As a complex neural network system, the brain regions and genes collaborate to effectively store and...

Joint ensemble learning-based risk prediction of Alzheimer's disease among mild cognitive impairment patients.

OBJECTIVE: Due to the recognition for the importance of early intervention in Alzheimer's disease (A...

Dynamic blinking feature extraction for automated facial nerve paralysis detection.

Facial nerve paralysis (FNP) impair eyelid closure and blinking, risking ophthalmic complications an...

Bio-plausible reconfigurable spiking neuron for neuromorphic computing.

Biological neurons use diverse temporal expressions of spikes to achieve efficient communication and...

Shoulder Musculoskeletal Disorder Rehabilitation Using a Robotic Device Based on Electromyography (EMG) Biofeedback: A Retrospective Cohort Study.

: While shoulder injuries represent the musculoskeletal disorders (MSDs) most encountered in physica...

Detection of Alzheimer Disease in Neuroimages Using Vision Transformers: Systematic Review and Meta-Analysis.

BACKGROUND: Alzheimer disease (AD) is a progressive condition characterized by cognitive decline and...

A multi-domain feature fusion epilepsy seizure detection method based on spike matching and PLV functional networks.

The identification of spikes, as a typical characteristic wave of epilepsy, is crucial for diagnosin...

Identifying natural inhibitors against FUS protein in dementia through machine learning, molecular docking, and dynamics simulation.

Dementia, a complex and debilitating spectrum of neurodegenerative diseases, presents a profound cha...

Multi-source sparse broad transfer learning for parkinson's disease diagnosis via speech.

Diagnosing Parkinson's disease (PD) via speech is crucial for its non-invasive and convenient data c...

Machine Learning-based World Health Organization Disability Assessment Schedule for persons with Parkinson's disease.

INTRODUCTION: The World Health Organization Disability Assessment Schedule 2.0 (WHODAS 2.0) is a wel...

FLANet: A multiscale temporal convolution and spatial-spectral attention network for EEG artifact removal with adversarial training.

Denoising artifacts, such as noise from muscle or cardiac activity, is a crucial and ubiquitous conc...

EEG-based fatigue state evaluation by combining complex network and frequency-spatial features.

BACKGROUND: The proportion of traffic accidents caused by fatigue driving is increasing year by year...

Interoperable Models for Identifying Critically Ill Children at Risk of Neurologic Morbidity.

IMPORTANCE: Decreasing mortality in the field of pediatric critical care medicine has shifted practi...

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