Neurology

Signal-Based Assessment of Postural Stability Using ECG, EMG, and Center of Pressure Measures.

Postural stability reflects the integrated function of autonomic, neuromuscular, and postural contro...

Digital Twins as the Implementation Layer of Precision Medicine in Pediatric Neurosurgery.

Pediatric neurosurgery increasingly utilizes precision medicine, but practitioners encounter challen...

Comment on "deep learning in neuroimaging for neurodegenerative diseases: State-of-the-art, challenges, and opportunities".

A Comparative Readability Analysis of Artificial Intelligence-Generated and Evidence-based Medical Content on the Diagnosis and Management of Multiple Sclerosis.

INTRODUCTION: Multiple sclerosis (MS) is a complex neurological disorder requiring effective patient...

Global Trends and Research Hotspots in Soccer Injury Literature: A Bibliometric Analysis (1904-2025).

IMPORTANCE: Soccer is associated with a substantial global injury burden, particularly involving low...

Plasma extracellular vesicle proteins biomarker for cerebral small vessel disease related cognitive impairment.

BACKGROUND: Cerebral small vessel disease (CSVD) is a major contributor to vascular dementia. Given ...

Remote smartphone-based spoken language screening predicts clinical markers in Huntington's disease.

Assessment and monitoring of Huntington's disease (HD) symptoms remain limited to infrequent, clinic...

Mobility Function and Aperiodic Electrocortical Activity in Younger and Older Adults.

Mobility declines with age to the extent that walking speed is often considered a vital sign. Identi...

Potential and challenges of generative adversarial networks for super-resolution in 4D flow MRI.

Time-resolved three-dimensional phase-contrast MRI (4D Flow MRI) enables non-invasive quantification...

Machine learning models for outcome prediction of patients with ischaemic stroke undergoing reperfusion therapy: a systematic review and meta-analysis.

BACKGROUND: Reperfusion therapy, including thrombolysis and thrombectomy, is crucial for ischaemic s...

Generation of spinal cord organoids from human induced pluripotent stem cells caudalised to a lumbar fate.

Organoids offer a powerful platform to model human development and disease in vitro, while preservin...

Machine learning-based analysis of the relationship between brain lesion sites and swallowing and cognitive functions in stroke patients.

Stroke-related dysphagia is influenced by brain damage location and cognitive impairment, but its me...

Identification of key genes related to macrophages and metabolic reprogramming in myocardial infarct based on single-cell and bulk transcriptomics data and experimental validation.

BACKGROUND: Myocardial infarction (MI), one of the most severe cardiovascular diseases, is influence...

Inflammatory-neurodegenerative crosstalk in pediatric severe traumatic brain injury: a multi-domain plasma proteomic study.

BACKGROUND: Pediatric severe traumatic brain injury (sTBI) remains a leading cause of death and long...

Identification of Mitochondrial Dysfunction-Related Candidate Biomarkers and Analysis of the Immune Cell Infiltration in Epilepsy.

Epilepsy is a severe neurological disorder with complex pathogenesis. Mitochondrial dysfunction (Mit...

Microfluidic co-culture system for synaptically segregated neural networks to explore astrocyte-driven neural pathology.

Investigating astrocyte-neuron communication in the absence of neuron-to-neuron signalling is challe...

Machine learning combined with WGCNA reveals potential calcium uptake-associated biomarkers in Parkinson's disease.

BACKGROUND: Parkinson's disease (PD) is the second most common neurodegenerative disease, characteri...

Zero-shot arbitrary-scale super resolution in susceptibility-weighted imaging for cerebral microbleed analysis.

BACKGROUND AND OBJECTIVE: Susceptibility Weighted Imaging (SWI) plays a pivotal role in detecting ce...

ECG Signatures and Long-Term Ischemic Stroke Risk: A Deep Learning Analysis of 200,000 Patients.

BACKGROUND: Scalable risk stratification for ischemic stroke remains an unmet need. OBJECTIVES: In t...

Continuous-time causal distribution learning with identifiability for brain dynamic effective connectivity inference.

Dynamic effective connectivity (dEC) analysis provides an approach for revealing the causal mechanis...

Automatic multiple sclerosis lesion segmentation in the spinal cord using 3 T and 7 T MP2RAGE images.

PURPOSE: To develop a deep learning-based fully automated framework for segmenting multiple sclerosi...