Neurology

Decoding lactylation in neuropathic pain: Immune cell infiltration patterns and machine learning-identified candidate biomarkers.

This study aimed to identify lactylation-associated genes linked to immune infiltration and diagnostic potential in neuropathic pain using integrated bioinformatic and machine learning approaches. Two microarray datasets (GSE124272 and GSE150408) comprising peripheral blood transcriptomes from 25 NP patients and 25 healthy controls were obtained from the gene expression omnibus. After batch correc...

At-home movement state classification using totally implantable cortical-basal ganglia neural interface.

Decoding human movement from invasive neural signals has traditionally relied on complex machine learning algorithms using data collected from short-term laboratory tasks, limiting understanding of brain function during natural behavior and hindering development of clinically viable closed-loop neuromodulation. Here, we demonstrate the first in-human, at-home classification of a specific movement ...

An update on the developments and challenges with the diagnosis and classification of autoimmune optic neuritis.

INTRODUCTION: Autoimmune optic neuritis (ON) is a heterogeneous spectrum that includes multiple sclerosis (MS), neuromyelitis optica spectrum disorder...

Comparison of preprocessing techniques for effective cognitive analysis using electroencephalography (EEG).

Electroencephalography (EEG) serves as a significant technique to analyze the cognition. The purpose of this study is to compare EEG preprocessing tec...

The association between liver disease and stroke risk: A cross-sectional study with machine learning in a large-scale Chinese cohort.

INTRODUCTION: This study aimed to investigate the association between liver disease (LD) and stroke using cross-sectional data from the China Health a...

Effect of Brain-Computer Interface-Controlled Ankle Robot Training on Post-Stroke Motor Rehabilitation and Resting QEEG Neuroplasticity: A Randomized Controlled Trial.

BACKGROUND: Persistent post-stroke ankle impairment hinders functional recovery. Brain-computer interface (BCI)-controlled ankle robot show rehabilita...

Neuroimaging-derived brain age as a new promising biomarker in mental disorders.

Mental disorders are frequently associated with accelerated brain aging, yet the diagnostic and classificatory utility of brain age remains uncertain....

An integrative genomic framework to identify remote ischemic preconditioning-responsive genes associated with stroke risk.

BACKGROUND: Remote ischemic preconditioning (RIPC) is a promising, non-invasive strategy for reduction in ischemic injury after stroke, yet its molecu...

Empowering Alzheimer's and Related Dementia Prevention Through Primary Care Using Responsible AI: A Pilot Walk-in Memory Sync Booth.

Alzheimer's disease and related dementias (ADRD) remain underdiagnosed early due to reliance on costly, invasive, and time-intensive assessments, prom...

Autoencoder-driven stride length estimation for individuals with Parkinson's disease using inertial measurement unit-embedded footwear.

BACKGROUND: Gait disorders in Parkinson's disease (PD) are often characterized by reduced stride length, particularly under off-medication conditions....

AI-enhanced culturally tailored intervention for Latino family caregivers of persons living with dementia: a feasibility study.

BACKGROUND AND OBJECTIVES: CONFIDENCE is a culturally tailored intervention to reduce caregiver financial strain, which disproportionately impacts Lat...

Targeting Brain Networks for Recovery: Multimodal Innovations in Poststroke Therapy.

Stroke disrupts brain networks across multiple spatiotemporal scales, producing structural and functional deficits that extend beyond focal injury. Pe...

An Enthalpy-Entropy Compensated Ionogel With a Broadband Viscoelastic Plateau for Non-Invasive and High-Fidelity Neurointerfaces.

Achieving non-invasive and high-fidelity electrophysiological recording, particularly electroencephalography (EEG), on dynamic and irregular human ski...

A new graph-transformer framework for EEG-based differentiation of Alzheimer's disease and frontotemporal dementia.

Differentiating between Alzheimer's disease (AD), frontotemporal dementia (FTD), and cognitively normal (CN) subjects remains a significant challenge ...

Comprehensive Serum Proteomics Uncovers Epigenetic and Inflammatory Pathways Underlying Primary Open-Angle Glaucoma.

Glaucoma is a leading cause of irreversible blindness, driven by progressive Retinal ganglion cell loss and optic nerve degeneration. The molecular me...

Neuroimaging in Low- to Middle-Income Countries: A Health Equity Perspective.

BACKGROUND: Inequities in neuroimaging access represent a major barrier to timely diagnosis and treatment of neurologic disease, particularly in low- ...

A Multimodal Dataset for Neurophysiological and AI Applications.

Attention Deficit Hyperactivity Disorder (ADHD) is a prevalent neurodevelopmental disorder characterized by inattention, hyperactivity, and impulsivit...

Multimodal MRI reveals hypothalamic structural-functional alterations associated with bone mineral density loss in postmenopausal women.

Emerging evidence implicates central nervous system dysregulation in the pathogenesis of osteoporosis. However, the role of hypothalamic subregions - ...

Multi-criteria evaluation of clinical decision-making performance in spinal neurosurgery and physical therapy scenarios: A comparative analysis of artificial intelligence models.

Differential Neural Substrates of Freezing of Gait in Cerebral Small Vessel Disease and Parkinson Disease: A Dual-tracer PET Study.

PURPOSE: Freezing of gait (FOG) occurs in both Parkinson disease (PD) and cerebral small vessel disease (CSVD), but its mechanism in CSVD is unknown. ...