Autism

Deep learning enhanced ALPS reveals genetic and environmental factors of brain glymphatic function.

BACKGROUND: The glymphatic system plays a critical role in brain waste clearance and health. Diffusi...

A multilayered integrated analysis of insomnia-related genes ATG7 and JAK2 in the autophagy-inflammation mechanism and clinical implications in major depressive disorder.

OBJECTIVE: Insomnia is widely recognized as a key risk factor for major depressive disorder (MDD). H...

Evolution of sensory systems underlies the emergence of predatory feeding behaviors in nematodes.

Understanding how animal behavior evolves remains a major challenge, with few studies linking geneti...

Functional neurobehaviour of the human fetus: a comprehensive framework for prenatal assessment using 4D ultrasound and AI.

OBJECTIVES: To evaluate current evidence on prenatal neurobehavioural assessment using four-dimensio...

Unbiased Characterization of Atrial Fibrillation Phenotypic Architecture Provides Insight Into Genetic Liability and Clinically Relevant Outcomes.

BACKGROUND: Atrial fibrillation (AF) is a common and clinically heterogeneous arrhythmia. Machine le...

Pharmacological manipulation of nested oscillations in human iPSC-derived 2D neuronal networks.

Dynamically coupled neural networks are fundamental to human cognition and behavior and are disrupte...

Interpersonal Coordination Deficits in Joint Action in Pre-school Children With Autism Spectrum Disorder: Evidence From fNIRS Hyper-Scanning and Machine Learning.

PURPOSE: Whether children with autism spectrum disorder (ASD) exhibit interpersonal coordination def...

Combined Modeling Approaches for Assessing Sodium-Iodide Symporter Inhibition.

The sodium-iodide symporter (NIS, SLC5A5) plays a crucial role in thyroid hormone synthesis. Especia...

Deep learning assessment of fetal brain maturation on 3D ultrasound volumes in early-onset fetal growth restriction.

OBJECTIVES: To quantify fetal brain maturation in fetuses with early-onset fetal growth restriction ...

Evaluation of the neurotrophic peptide mixture in pathogenetic therapy of patients with Parkinson's disease.

This exploratory, single-group, open-label study investigated 17 patients with Parkinson's disease (...

Aperiodic parameters of the fMRI power spectrum associate with preterm birth and neonatal age.

Perinatal period is a critical time for brain development and premature-born children have an elevat...

Group-based trajectory modelling and interpretable machine learning to identify factors associated with neurodevelopmental trajectories in preterm infants.

Full-Endoscopic Spine Surgery for Adjacent Segment Disease Using Artificial Intelligence-Assisted 3-Dimensional MRI/CT Fusion Imaging: A Case Report.

CASE: An 82-year-old woman presented with right medial thigh pain. Her medical history included mult...

SHAP-based explainable machine learning analysis of reward-related neural connectivity to predict preadolescent irritability.

Preadolescent irritability is a robust transdiagnostic neurodevelopmental predictor of later psychop...

A Framework for Healthcare from the Eye: Oculomics as a Powerful Window to Systemic Health.

PURPOSE: To present a comprehensive framework for integrating oculomics to assess ocular and systemi...

Generative Artificial Intelligence-Enabled Saliency Analysis of Eye Tracking in Cerebral/Cortical Visual Impairment (SET-CVI).

PURPOSE: Children with cerebral/cortical visual impairment (CVI) have neurological conditions that i...

The role of the kynurenine pathway in the pathophysiology of autism-like phenotype induced by maternal inflammation in male mice.

Autism spectrum disorder (ASD) is a neurodevelopmental disorder with core symptoms that may include ...

Machine Learning Prediction of Pharmacogenetic Testing Uptake Among Opioid-Prescribed Patients Using Electronic Health Records: Retrospective Cohort Study.

BACKGROUND: Opioids are a widely prescribed class of medication for pain management. However, they h...

Predatory aggression evolved through adaptations to noradrenergic circuits.

Behaviours are adaptive traits evolving through natural selection. Crucially, the genetic, molecular...

Personalized surveillance in giant congenital melanocytic nevus, including the role of AI, histopathology and MC1R genotyping: A case report.

Giant congenital melanocytic nevi (GCMN) are rare pigmented skin lesions present at birth that carry...

Evolution of the gut microbiome in infancy: recent advances.

PURPOSE OF REVIEW: The early-life gut microbiome is a dynamic ecosystem that alongside other niches,...