Neurology

Dual MDM2 and PPARG regulatory axes mediate the antiepileptic effects of Gouteng: An Integration of Bioinformatics, Network Pharmacology, Machine Learning, Molecular Docking, and MD Simulations.

Gouteng is a traditional Chinese medicine widely used for the clinical treatment of epilepsy, yet the specific mechanism underlying its antiepileptic has not been elucidated. Network pharmacology, bioinformatics, machine learning, molecular docking, MD simulation, and ADMET druggability analysis were performed to systematically elucidate the molecular regulatory mechanism of Gouteng against epilep...

Study protocol of the Speech of children After Neonatal Encephalopathy (SANE): a single-centre prospective cohort study.

INTRODUCTION: Language development is a key determinant of academic achievement and psychosocial outcome. Due to the therapeutic hypothermia procedure, 75% of children diagnosed with moderate to severe neonatal encephalopathy (E) survive without serious neurological sequelae. Several studies have already revealed the overall cognitive deficits of these infants; however, their long-term language de...

Multiparametric MRI radiomics for noninvasive risk stratification of pediatric neuroblastoma: a pilot study.

Neuroblastoma is the most common extracranial solid tumor in children, with risk stratification guiding therapy and prognosis. Although current risk s...

Protein-protein interaction-mediated signaling networks in ischemic stroke: from molecular mechanisms to therapeutic strategies.

The pathological progression of ischemic stroke is driven by a dynamic signaling network mediated by protein-protein interactions (PPI) that involves ...

Clinical application of artificial intelligence technology in epilepsy.

Epilepsy is a prevalent neurological disorder, and its inherent complexity and significant interindividual variability pose substantial challenges for...

Insulin like growth factor and cytokine signalling predict future cognitive impairment in Parkinson's disease.

Cognitive impairment is a common non-motor sym.ptom of neurodegenerative Parkinson's disease (PD). However, the onset and severity of cognitive impair...

Experiment-confirmed machine learning optimization of NADES extraction with ultrasound assistance and Mendelian randomization evidence on antioxidant effects of ferulic acid and ligustilide from Angelicae Sinensis Radix.

This study developed an efficient and sustainable extraction process for extracting ferulic acid (FA) and ligustilide (LIG) from Angelica sinensis Rad...

Sociodemographic bias in LLMs' clinical decision-making for dizziness.

ObjectiveAs large language models (LLMs) enter clinical decision support, concerns persist about sociodemographic bias. We assessed whether LLM recomm...

The Open Data Commons for Traumatic Brain Injury: An Interagency Community Platform for Pre-Clinical Data Management and Sharing.

The Open Data Commons for Traumatic Brain Injury (ODC-TBI.org) was launched in 2018 to support data sharing in pre-clinical TBI. As data science and a...

Brain morphometric alterations associated with degenerative scoliosis: a structural MRI study.

STUDY DESIGN: Cross-sectional Study. BACKGROUND: Degenerative scoliosis (DS) is conventionally viewed as a localized spinal biomechanical failure. How...

Integrative machine learning reveals telomere-associated gene modules reflecting neuronal dysregulation in Alzheimer's disease.

BackgroundTelomere dysfunction contributes to cellular aging and genome instability, but telomere-associated transcription in Alzheimer's disease (AD)...

Interobserver and intraobserver variability of fetal and maternal Doppler measurements: systematic review and meta-analysis.

OBJECTIVES: To evaluate the variability and reproducibility of umbilical artery (UA), fetal middle cerebral artery (MCA) and uterine artery (UtA) Dopp...

Quantifying generalization error in machine learning prediction of cognitive decline.

BACKGROUND: Predicting cognitive decline as a continuum, from healthy age-related decline to mild cognitive impairment and dementia, enables more prec...

Exploration of EEG activity corresponding to the functional expansion theory of disgust.

Disgust is often conceptualised as a basic emotion arising from contamination avoidance; however, the functional expansion account distinguishes multi...

A multi-band spatial asymmetry convolutional neural network for EEG-based emotion recognition.

Emotion recognition is an important component for enabling machines to perceive and respond to human emotions. Existing electroencephalogram (EEG)-bas...

Deep Learning-based Automated Vessel Extraction for VR Image Creation From Cerebral TOF-MRA.

RATIONALE AND OBJECTIVES: Accurate and efficient three-dimensional visualization of cerebral vasculature is essential for clinical evaluation; however...

Evaluating clinical and neuroimaging predictors for cognitive-behavioral therapy outcome in obsessive-compulsive disorder.

Cognitive-behavioral therapy (CBT) is the first-line treatment for obsessive-compulsive disorder (OCD), yet a significant number of patients do not ac...

Integrating statistical parametric mapping, functional principal component analysis, explainable machine learning, and equivalence testing for multimodal gait signal analysis.

BACKGROUND: Gait speed is a key clinical indicator in neurological and orthopaedic conditions, yet waveform-level adaptations in ground reaction force...

Using Mobi-L RYMO to target spasticity in patient with chronic stroke: A case series study.

BACKGROUND/OBJECTIVES: Stroke represents one of the main causes of permanent disability, with persistent upper limb motor deficits in 50% of patients;...

DNAJC12 p.Asp44Gly associated with mild hyperphenylalaninemia and migraine-like headaches: Structural and deep learning analyses.

OBJECTIVE: DNAJC12 encodes a J-domain co-chaperone involved in the function of aromatic amino acid hydroxylases, and its deficiency is associated with...