Neurology

Association Between Inflammatory Biomarkers And Carotid Ultrasound Parameters In The Northern Manhattan Stroke Study.

Inflammation contributes to atherosclerosis and vascular remodeling, but the immune pathways associated with distinct carotid ultrasound phenotypes, including carotid intima-media thickness (cIMT), maximal plaque thickness (MPT), and arterial stiffness remain incompletely characterized. We investigated associations between circulating immune biomarkers and carotid ultrasound measures in a stroke-f...

Interpretable Dual-Stream EEG-MRI Fusion Uncovers Structure-Function Signatures of Stroke Motor Recovery.

Motor recovery prediction after stroke is hindered by the inability of single-modality imaging to capture how structural damage and functional reorganization interact. Existing multimodal approaches often treat electroencephalography (EEG) and magnetic resonance imaging (MRI) as independent signals, limiting both predictive performance and mechanistic interpretability. We introduce Dual-Stream Cro...

An overview of current and emerging strategies for phantom limb pain.

INTRODUCTION: Phantom limb pain (PLP) is a disabling neuropathic pain syndrome affecting many individuals following limb amputation. Despite decades o...

NeuroOmics-Net: An interpretable multimodal deep learning framework for Alzheimer's disease diagnosis and progression prediction using neuroimaging, EEG, and genomic data.

Accurate diagnosis and progression prediction of Alzheimer's disease (AD) remain challenging due to the heterogeneous nature of the disease, which inv...

Easy-to-use EMG system to decode hand movements in people with spinal cord injury.

Objective Loss of hand function following spinal cord injury (SCI) severely impacts independence and quality of life. Restoring volitional hand co...

Advancing multimodal neuroimaging: Explainable and responsible AI for early dementia detection.

Artificial intelligence (AI) has not seen the clinical uptake that might be expected from a technology that has received so much attention and investm...

Arterial Spin Labeling of Cerebral Perfusion in Unresponsive Wakefulness Syndrome: A Proof-of-Concept Comparison with FDG-PET.

BACKGROUND: Despite the clinical utility of [18F]-fluorodeoxyglucose positron emission tomography (FDG-PET) in evaluating patients with unresponsive w...

Comparative Screening of Alzheimer's Disease, Lewy Body Dementia, and Frontotemporal Dementia Using miRNA and Machine Learning.

Current dementia diagnostic methods can be costly, invasive, or limited in their ability to distinguish between disorders with overlapping clinical sy...

A 60-second interpretable voice model for early dementia screening.

Early detection of cognitive impairment in assisted living is hindered by time-intensive tools like the Mini-Mental State Examination (MMSE) and the M...

Imaging features of affective and non-affective psychosis.

Affective and non-affective psychoses exhibit heterogeneous clinical presentation, neurobiological underpinnings, and treatment response. This special...

Machine Learning Prediction of Hoehn and Yahr Scores at 5-Years Post-123I-Ioflupane SPECT Imaging in a Real-World Parkinson's Disease Dataset.

BACKGROUND: Parkinson's disease (PD) progression is highly heterogeneous, complicating clinical management and prognostication. While machine learning...

The High-Intensity Zone: A Dynamic Inflammatory Hub in Lumbar Disc Degeneration.

The lumbar intervertebral disc high-intensity zone (HIZ), a focal hyperintensity within the annulus fibrosus on T2-weighted magnetic resonance imaging...

Risk Factors for Coronary Heart Disease and Stroke Among Older Adults With Metabolic Dysfunction-Associated Steatotic Liver Disease: A Nationwide Cohort Study.

BACKGROUND: Older adults with metabolic dysfunction-associated steatotic liver disease have elevated cardiovascular disease (CVD) risk, yet convention...

Advancing Cerebro-cerebellar Network Imaging with Ultra-high Field (7T) MRI: Progress and Future Challenges.

Ultra-high field (UHF) MRI (≥ 7T) is increasingly used to study the cerebro-cerebellar networks, offering substantial gains in signal-to-noise ratio a...

Photosensitivity in Lafora and Unverricht-Lundborg progressive myoclonic epilepsies.

OBJECTIVE: Lafora disease (LD) and Unverricht-Lundborg disease (EPM1A) are the most common forms of progressive myoclonic epilepsy and are frequently ...

De Novo-Designed Peptide-Engineered Multimodal Platform for Post-Ischemic Stroke Tissue Repair.

Orchestrating tissue regeneration in complex pathologies like post-ischemic stroke requires materials that can precisely regulate multiple signaling p...

Radiation dose reduction in computed tomography perfusion of acute ischemic stroke patients using a denoising autoencoder.

BACKGROUND: Ischemic stroke results from the occlusion of a cerebral artery and is a leading cause of mortality and disability worldwide. Multimodal c...

Artificial Intelligence Techniques in Cardiac Neuromodulation: Mechanisms, Applications, and Pathways to Clinical Translation.

Cardiac neuromodulation includes various methods, such as vagus nerve stimulation, baroreflex activation therapy, renal denervation, and stellate gang...

Accelerated 7T 3D DESS MR Neurography of the Cervical Spine Using CS-CAIPIRINHA and Deep Learning Reconstruction.

OBJECTIVE: To evaluate the potential of combined coherent and incoherent undersampling with deep learning (DL) reconstruction for highly accelerated h...

The effectiveness of adding on or switching antiseizure medications after the first fails to control focal epilepsy: A systematic review of randomized controlled trials.

Focal epilepsy constitutes 60-70% of epilepsy, and up to half of patients do not achieve seizure freedom with their first antiseizure medication (ASM)...