Boosts Sociability, Quells Repetitiveness – NIH Study National Institutes of Health researchers have reversed behaviors in mice resembling two of...
Machine learning algorithms help researchers identify speech patterns in children on the autism spectrum that are consistent between different languages.
Different symptoms of ASD can affect different brain regions and neuroanatomy. AI technology allowed researchers to detect brain differences on an individual level in those with ASD.
Precision-medicine enhanced with the help of artificial intelligence assisted in the identification of a new autism subtype that was characterized by abnormal lipid levels. AI-enhanced precision medicine could become a biomedical screening tool for ASD.
Researchers find exposure to air pollution appears to increase the risk of developing autism in those which a specific genetic disposition to the disorder.
Researchers report children exposed to fine particulates from outdoor pollution have an increased risk of developing autism by up to 78%.
Researchers are studying the brain activity of adults with ASD to better understand the cognitive changes that occur across aging in adulthood.
A new study identifies common genomic defects that may explain why children with autism have an abnormal number of brain cells and abnormal brain growth.
A new study investigates how joint attention and spontaneous facial mimicry interact in relation to each other in people with autism.
A new study reports mitochondrial changes may be important risk factors for identifying those with autism spectrum disorders.
Autistic children with traditional anxiety had significantly greater amygdala volume than children without ASD. Those with autism-distinct anxiety had significantly lower amygdala volume.
A new PNAS study reveals typically developing children experience neurogenesis in the amygdala as they become adults. However, for those with autism, the amygdala loses neurons as they age.
