Neurology

Artificial intelligence-based 3D segmentation of tangle-associated TDP-43 in neurodegeneration.

TAR DNA-binding protein 43 (TDP-43) inclusions are often associated with hyperphosphorylated tau, thus neurofibrillary tangles as the hallmark of Alzheimer's disease (AD) and primary age-related tauopathy (PART). TDP-43 in AD is associated with cognitive impairment, and while staging is known, the localization, cellular and inclusion characteristics of TDP-43 are yet to be elucidated. We investiga...

Local recurrence in rectal cancer: from detection to structured reporting.

Despite advances in total mesorectal excision and neoadjuvant therapy, locally recurrent rectal cancer remains a clinically important source of pelvic morbidity and cancer-related mortality, affecting approximately 2-10% of the treated patients. Most recurrences develop within three years of surgery and often arise near the surgical bed, where fibrosis and distorted anatomy can delay detection. Ea...

Effect of genetic factors on [18F]FDG PET metabolic phenotypes in dementia with Lewy bodies.

BACKGROUND: Neuroimaging with [18F]FDG PET can support the diagnosis of Dementia with Lewy Bodies (DLB), but it remains unclear how genetic factors in...

Machine Learning Methods to Predict Unmeasured Muscle Activation in Upper Limb Reaching Task for Assessing Population-Level Cross-Subject Generalizability.

Accurately estimating muscle activation remains a fundamental challenge in neuromuscular modeling, particularly when measurements are limited by senso...

Deep learning reveals a neurocomputational mechanism predicting depression risk in adolescents.

Early detection and prevention of psychiatric disorders, particularly depression, remain as major global health challenges, yet reliable tools for ide...

Abnormal functional lateralization and cooperation in primary angle-closure glaucoma correlate with cell type-specific transcriptional signatures.

BACKGROUND: Primary angle-closure glaucoma (PACG) damages retinal ganglion cells (RGCs) and is associated with neurodegeneration. This study used rest...

Integrated Identification of NAD⁺ Metabolism-Associated Candidate Genes.

Migraine is one of the most disabling neurological diseases globally; however, a significant proportion of patients do not respond to current treatmen...

Clinical Validity of Wrist- and Trunk-Worn Sensor-Derived Data Models in Parkinson's Disease.

BACKGROUND: Clinical rating scales for Parkinson's disease (PD) have limitations in the accurate assessment of disease severity, which may obscure tre...

Wearable exoskeleton upper limb device based on soft actuators: design, characterization, and preliminary testing.

This article presents the development of a wearable exoskeleton robotic device designed for the motor recovery of the upper limbs following stroke, in...

Calibration-Free Estimation of Cerebrovascular Reactivity From Resting-State BOLD fMRI Using Reconstructed Respiratory Fluctuations.

PURPOSE: Cerebrovascular reactivity (CVR) provides an important index of vascular health and is conventionally quantified using a hypercapnic gas or b...

AI-powered robotic assistive technologies in rehabilitation: global trends, ethical dimensions and human-centred futures.

PURPOSE: The aim of this study is to examine global research trends, the conceptual framework and emerging research themes relating to artificial inte...

Essential Innovations in Spinal Surgery: Contributions from the French School.

French innovation has profoundly shaped the evolution of spinal surgery over the past fifty years. While many French contributions are now internation...

Prediction of Incident Atrial Fibrillation and Association With Outcomes Using Routine Electronic Health Records in a Western Pacific Population.

BACKGROUND AND AIM: Atrial fibrillation (AF) affects over 37 million people internationally and confers increased risk of cardiovascular conditions. P...

Data-driven trajectories of atrophy explain clinical heterogeneity across Lewy body diseases.

BACKGROUND: Lewy body diseases (LBD) collectively share α-synuclein Lewy pathology, yet present wide clinical heterogeneity, with overlapping motor an...

Deep learning for EEG-based depression detection: A systematic literature review of methods and interpretability techniques.

Depression is a widespread mental illness in which there is a noticeable difference in the quality of life of people. Electroencephalography (EEG) see...

Altered Temporal dynamics of resting-state EEG microstates as a neural signature of impaired consciousness: a high-density EEG analysis in chronic disorders of consciousness.

PRIMARY OBJECTIVE: To differentiate Unresponsive Wakefulness Syndrome (UWS) from Minimally Conscious State (MCS) using EEG microstates. RESEARCH DESIG...

Machine learning-based screening tool for predicting the risk of oropharyngeal dysphagia in patients with ischemic stroke.

PURPOSE: Dysphagia frequently complicates recovery after stroke, necessitating effective predictive tools. This study aimed to develop supervised mach...

miRNA-mRNA Interaction Network Analysis in Alzheimer's Disease for Biomarker Discovery.

Alzheimer's disease (AD) is a complex neurodegenerative disorder characterized by widespread dysregulation of gene expression and regulatory pathways....

Patterns of iron deposition and classification in parkinsonian syndromes: a quantitative susceptibility mapping study.

Differential diagnosis of parkinsonian syndromes remains challenging because of overlapping clinical symptoms. We characterized brain iron deposition ...

Mental workload classification using EEG in drivers: A personalized approach to occupational risk reduction.

BackgroundMental state is a key factor influencing occupational health and safety, particularly in professional drivers who are exposed to high cognit...