Intestinal metabolites and the risk of autistic spectrum disorder: A two-sample Mendelian randomization study. [PDF]
Liu D+5 more
europepmc +1 more source
Prevalence of autistic spectrum disorder in children attending mainstream schools in a Welsh education authority [PDF]
E Webb+5 more
openalex +1 more source
Nonparametric Motion Control in Functional Connectivity Studies in Children with Autism Spectrum Disorder [PDF]
Autism Spectrum Disorder (ASD) is a neurodevelopmental condition associated with difficulties with social interactions, communication, and restricted or repetitive behaviors. To characterize ASD, investigators often use functional connectivity derived from resting-state functional magnetic resonance imaging of the brain.
arxiv
Autistic spectrum disorder (ASD) - Gene, molecular and pathway signatures linking systemic inflammation, mitochondrial dysfunction, transsynaptic signalling, and neurodevelopment. [PDF]
Gevezova M+5 more
europepmc +1 more source
Comparison of classification algorithms for predicting autistic spectrum disorder using WEKA modeler. [PDF]
Mohd Radzi SF+2 more
europepmc +1 more source
Visual and auditory attention in individuals with DYRK1A and SCN2A disruptive variants
Abstract This preliminary study sought to assess biomarkers of attention using electroencephalography (EEG) and eye tracking in two ultra‐rare monogenic populations associated with autism spectrum disorder (ASD). Relative to idiopathic ASD (n = 12) and neurotypical comparison (n = 49) groups, divergent attention profiles were observed for the monogenic
Caitlin M. Hudac+12 more
wiley +1 more source
Auditory symptoms and autistic spectrum disorder: A scoping review and recommendations for future research. [PDF]
Timms S, Lodhi S, Bruce J, Stapleton E.
europepmc +1 more source
Auditory hypersensitivity in children and teenagers with autistic spectrum disorder [PDF]
Erissandra Gomes+4 more
openalex +1 more source
Leveraging Machine Learning for Early Autism Detection via INDT-ASD Indian Database [PDF]
Machine learning (ML) has advanced quickly, particularly throughout the area of health care. The diagnosis of neurodevelopment problems using ML is a very important area of healthcare. Autism spectrum disorder (ASD) is one of the developmental disorders that is growing the fastest globally.
arxiv