Neurology

Heel-tapping-based Parkinson's Disease Progression Monitoring using Smart Insoles.

Parkinson's Disease (PD) is a progressive neurodegenerative disorder marked by motor and non-motor symptoms, which complicate both diagnosis and disease monitoring. Traditional subjective assessments, such as the Unified Parkinson's Disease Rating Scale (MDS-UPDRS) and Hoehn and Yahr scale, often fall short of capturing subtle motor variations across PD stages as well as require expertise and thus...

Minimally invasive spine surgery: current advantages, limitations, and future directions.

Minimally invasive spine surgery (MISS), supported by advancements in endoscopic systems, tubular retractors, lateral access corridors, image-guided navigation, and robotic assistance, has progressively expanded its role in the management of a broad spectrum of spinal disorders. These approaches were developed to limit muscular disruption and soft tissue damage while maintaining clinical and radio...

Deep survival modelling to predict future cognitive impairment in unimpaired adults.

BACKGROUND: Predicting Alzheimer's disease (AD)-related cognitive impairment (CI) among cognitively normal (CN) adults enables meaningful disease modi...

Evaluation of a commercial AI-assisted cell counting software for dopaminergic neurons across species.

Quantification of dopaminergic neurons in the substantia nigra pars compacta (SNc) of animal models is important for understanding the pathogenesis of...

Integrated molecular and clinical profiling of primary mitochondrial oxidative phosphorylation disorders in an Indian cohort: Insights from genetics, neuroimaging, and machine learning.

Primary mitochondrial disorders are clinically and genetically heterogeneous and remain underdiagnosed in resource-limited settings. We performed a re...

Illuminating the black box of traditional Chinese medicine: The pivotal role of transgenic fluorescent zebrafish.

ETHNOPHARMACOLOGICAL RELEVANCE: Traditional Chinese Medicine (TCM) holds significant therapeutic potential, yet its modernization is hindered by the i...

Response of the authors to the letter to the editor regarding "Development of a machine learning-based predictive model for long-term adverse outcomes in neonatal bacterial meningitis".

[Magnetic resonance imaging in dementia].

Magnetic resonance imaging (MRI) plays a pivotal role in the diagnostic work-up of dementia. In addition to excluding secondary and potentially treata...

Claustrum and Hippocampus Segmentation-Based Alzheimer's Disease Identification Model Using RoT-Kmeans and CoLU-CNN.

Alzheimer's disease (AD) is a dementia disease that causes loss of cognitive functions. Also, it is a noncurable disease. However, early diagnosis and...

Identification of nonconvulsive status epilepticus in the ictal-interictal continuum using artificial intelligence: a prospective observational cohort study.

PURPOSE: This study aims to investigate differences in functional connectivity between patients on the ictal-interictal continuum (IIC) with nonconvul...

Salivary metabolomics for early detection of vascular contributions to cognitive impairment and dementia: Exploring microbiome dysbiosis and sex differences.

BackgroundVascular factors contribute to dementia in approximately 20 million individuals, notably in vascular contributions to cognitive impairment a...

Artificial Intelligence in Predicting Surgical Problems and Postoperative Morbidity in Mandibular Third Molar Extractions.

INTRODUCTION: Mandibular third molar (MTM) extractions are among the most frequent oral surgical procedures, often associated with variable surgical d...

[Basal ganglia and movement disorders : Part 1: the parkinsonian spectrum-Neuroradiological patterns and diagnostic considerations].

Movement disorders are a frequent yet diagnostically unspecific reason for referral in routine neuroradiological practice. Hypokinetic syndromes with ...

Cerebrovascular CTA radiomics for objective collateral grading in acute ischemic stroke.

OBJECTIVE: Collateral circulation is a key determinant of functional outcome after large vessel occlusion (LVO) and informs thrombectomy decisions. Ho...

Zero Echo Time Magnetic Resonance Imaging of the Spine.

Zero echo time magnetic resonance imaging is an ultrashort echo time technique that enables computed tomography-like visualization of cortical and tra...

Deep learning synthesis of virtual T2-weighted fat-suppressed MR images: a multi-center study.

OBJECTIVES: To develop a Generative Adversarial Network (GAN) for generating virtual T2 fat-suppressed (T2FS) sequences from standard T1- and T2-weigh...

Experimental investigation of muscle-tendon unit geometry and kinematics in lower-limb muscles during gait: Current applications and future directions - A scoping review.

PURPOSE: Musculoskeletal (MSK) modeling and ultrasound imaging (USI) are complementary techniques that, when combined with three-dimensional gait anal...

Comparison of median nerve conduction parameters from the index and middle fingers in carpal tunnel syndrome: Toward a standardized electrophysiological evaluation protocol.

BACKGROUND: Variability exists regarding which is the best digit for diagnosing and classifying the severity of carpal tunnel syndrome (CTS) with elec...

Gait and movement analysis for discrimination between people with dementia and healthy control persons based on pose estimation and machine learning.

BackgroundDementia disorders are affecting millions of people globally, characterized by memory loss, communication difficulties, and motor function d...

Temporal and Cell-Specific Regulation of Synaptic Homeostasis by the Chromatin Remodeler Chd1.

Disruptions in chromatin remodelers and synaptic proteins represent major genetic risk factors for autism spectrum disorder (ASD), yet how these disti...