Neurology

Essence: A benchmarking-validated transformer framework for early diagnosis of Parkinson's disease using cerebrospinal fluid protein biomarkers.

Parkinson's disease (PD) is a progressive neurodegenerative disorder characterized by motor and non-...

Incidence and prevalence of vascular cognitive impairment in China: a systematic review and meta-analysis.

OBJECTIVE: Given China's rapid population ageing and substantial stroke burden, understanding the ep...

Identification of PANoptosis-Related Biomarkers in Spinal Cord Injury (SCI) through Multi-Omics Analysis and Machine Learning.

BACKGROUND: Spinal cord injury (SCI) is a severe neurological disorder lacking early diagnostic biom...

Deep Learning Reconstruction Versus Hybrid Iterative Reconstruction for Acute Cerebral Infarction Detection on 135 kVp Non-Contrast Brain CT.

PURPOSE: Deep learning reconstruction (DLR) is useful to reduce image noise and improve contrast res...

Increased Pre-Activation and Co-Contraction in ACL-Reconstructed Athletes: Insights from AI-based EMG Analysis.

INTRODUCTION: Anterior Cruciate Ligament (ACL) tears disrupt the neural structures within the ligame...

Machine Learning-Derived Cardiovascular Aging Phenotypes From Cardiac Function and Stroke Risk in the UK Biobank: Cohort Study.

BACKGROUND: Cardiovascular magnetic resonance (CMR) is widely used across various cardiac conditions...

Development of a community home-based dual-supplier cooperation care model for people with dementia based on an intelligent decision-assistance system: protocol of a 1-year randomised controlled trial in China.

INTRODUCTION: Dementia imposes significant care and financial burdens on families and countries glob...

Deep learning discriminates seizures from normal brain oscillations in the electroencephalogram of a rat model of post-traumatic epilepsy.

This study used machine learning to objectively identify seizures in the electroencephalogram of a m...

Frequency-based deep learning to identify subtle postural instability in early, untreated Parkinson's disease.

Despite evidence of early neurodegeneration, postural instability is commonly associated with later ...

An interpretable deep learning diagnostic framework for early Alzheimer's disease based on EEG microstate spectra and multi-branch CNN.

From Static Diagnosis to Dynamic Guidance : Evolution of Artificial Intelligence in Pediatric Neuroimaging.

The pediatric brain represents a dynamic biological target characterized by rapid myelination and fu...

The Efficacy of Proprioceptive Neuromuscular Facilitation-Based Robot-Assisted Therapy in Individuals With Stroke: A Randomized Controlled Trial.

OBJECTIVES: The effects of combining robot-assisted therapy (RAT) with other physiotherapy approache...

Machine learning classification of patients after suicide attempts using demographic data, EEG connectivity and heart rate variability.

OBJECTIVE: The aim of this study was to develop a way to distinguish suicidal patients based on thei...

Algometric assessment of sensitization and habituation as predictive markers for OnabotulinumtoxinA response in chronic migraine.

BACKGROUND: Chronic migraine is a debilitating disorder characterized by central sensitization and i...

Data-driven thresholds for standardized classification of severe Alzheimer's disease neuropathology using digital neuropathology.

Alzheimer's disease neuropathological changes (ADNC)-operationalized with semi-quantitative paramete...

Feasibility of a hybrid SSVEP-motor imagery BCI with robotic feedback for upper limb motor rehabilitation in stroke patients.

BACKGROUND: Stroke remains a leading cause of long-term disability, necessitating innovative neurore...

Prediction of survival in patients with spinal metastatic disease.

The spine is among the most frequent sites of metastatic disease, with an increasing prevalence, lea...

Opportunities and challenges related to participant stratification and cohort enrichment in ALS clinical trials.

Amyotrophic lateral sclerosis (ALS) is marked by substantial clinical heterogeneity. This heterogene...

Dementia screening with the Rivermead Behavioural Memory Test: A machine learning analysis.

BackgroundWith the advent of anti-amyloid-β monoclonal antibody therapies and the growing societal b...

Brain PET in the era of anti-amyloid-β antibody therapy for Alzheimer disease.

Here the current and emerging roles of brain positron emission tomography (PET) in Alzheimer's disea...

Comment on "Exploration of a Multimodal Machine Learning Model Integrating Ultrasound and Clinical Indicators for the Diagnosis of Diabetic Peripheral Neuropathy".