Neurology

Diagnostic Accuracy of Deep Learning for Automated Detection of Spinal Degenerative Disease on MRI: A Systematic Review and Meta-Analysis.

This study aims to estimate the diagnostic accuracy of deep learning (DL) models for automated detection/classification of spinal degenerative disease (SDD) on spine MRI and explore clinically relevant heterogeneity. We searched Ovid MEDLINE, Ovid Embase and Web of Science (January 2010-5 December 2025) for diagnostic accuracy studies of DL applied to spine MRI with reconstructible 2 × 2 data (TP/...

Cardamonin ameliorates neuroinflammation in Parkinson's disease by regulating NF-κB signaling.

Effects of long-term exposure to nitrogen dioxide with cardiovascular mortality: Evidence from a nationwide cohort study.

Nitrogen dioxide (NO2) is a significant ambient pollutant whose independent health effects have not been well confirmed. Evidence on the relationship ...

Machine learning-based prognostic analysis of patients with status epilepticus in the neurological intensive care unit.

OBJECTIVE: This study aimed to develop and validate machine learning (ML) models for predicting the prognosis of status epilepticus (SE) patients with...

Prescription‑dose stratification improves deep learning‑based VMAT dose prediction in locally advanced NSCLC.

Volumetric-modulated arc therapy (VMAT) planning for locally advanced non-small cell lung cancer (NSCLC) is an iterative and planner-dependent process...

Identifying key gait features in stroke patients using wearable inertial sensors and supervised and unsupervised machine learning.

Stroke is a major cause of motor disability, degrading walking and quality of life. Wearable gait analysis with magneto-inertial measurement units (MI...

The Brain-Age Gap in Pediatric Dystonia: Neuroanatomical Deviations Inform Deep Brain Stimulation Outcomes.

BACKGROUND: Dystonia in children is a heterogeneous condition with variable response to deep brain stimulation (DBS). Brain-age gap, a machine learnin...

Deep learning-derived measures of sound-level accuracy in primary progressive apraxia of speech: A feasibility pipeline with descriptive evidence from two cases.

Primary Progressive Apraxia of Speech (PPAOS) is a neurodegenerative motor speech disorder marked by disrupted speech planning and programming. This s...

An Open-Source Pipeline for Calcium Imaging and All-Optical Physiology in Human Stem Cell-Derived Neurons.

High-throughput, single-cell resolution profiling of neuronal activity is critical for understanding brain function and modeling neurological disorder...

EENet-RLA: An Explainable Prediction Learning Framework for Alzheimer's Disease Classification from EEG Signals.

Alzheimer's disease (AD) is a prevalent neurodegenerative disorder affecting millions worldwide. Electroencephalography (EEG), a non-invasive, cost-ef...

Association Between Digital Biomarkers of Health and Anxiety: Systematic Review and Meta-Analysis.

BACKGROUND: Digital biomarkers are gaining interest as proxy markers for mental health, as they enable passive and continuous data collection. However...

Short-Term Perceptual Training Modulates Neural Responses to Deepfake Speech but Does Not Improve Behavioral Discrimination.

Rapid advancements in artificial intelligence (AI) have enabled text-to-speech (TTS) systems to produce voices increasingly indistinguishable from hum...

Research on epilepsy detection methods based on interpretable features and machine learning.

Epilepsy is a prevalent neurological condition that impacts a significant number of individuals worldwide. Patients' physical and mental health, as we...

Magnetic resonance imaging study of major depressive disorder: a 28-year scientometric and visual analysis.

Neuroimaging, particularly magnetic resonance imaging (MRI), has become a cornerstone in elucidating the neural underpinnings of Major Depressive Diso...

Effectiveness of meditation in the management of epilepsy: An updated mini systematic review of recent findings.

BACKGROUND: Epilepsy is a chronic neurological disorder characterized by altered cortical excitability. The disorder is often associated with psycholo...

Proof-of-concept: Differentiating upper trapezius muscle with myofascial trigger point using deep learning model on a small prospective sEMG dataset.

Myofascial pain syndrome commonly arises from myofascial trigger points (MTrPs). While needle electromyography (iEMG) reveals spontaneous activity at ...

Investigation of the Medical Image Modalities to Detect the Abnormalities in the Spinal Cord Using Thresholding Techniques.

Accurately segmenting spinal structures from magnetic resonance imaging (MRI) is essential for diagnosing degenerative disc diseases. However, 1.5 T l...

Biodistribution of AAV-TT and AAV9 in the Nonhuman Primate Brain.

The adeno-associated virus (AAV) capsid variant known as "true type" (AAV-TT) is a capsid with enhanced central nervous system tropism and efficient r...

Interpretable and granular video-based quantification of motor characteristics from the finger-tapping test in Parkinson's disease.

Accurately quantifying motor characteristics in Parkinson's disease is crucial for monitoring disease progression and optimizing treatment strategies....

Increased Prevalence of Extrathymic Neoplasms in Myasthenia Gravis Patients-A Population-Based, Matched Case-Control Study.

INTRODUCTION/AIMS: Myasthenia gravis (MG) is associated with thymic neoplasms. However, an increased prevalence of extrathymic neoplasms has also been...