Researchers identified a novel, direct link between autism and the SUV39H2 gene.
Using human stem cells to develop a brain organoid model, researchers were able to show exposure to a common pesticide synergizes with an autism-linked gene mutation. The study provides clear evidence that genetics and environment may combine to disrupt neurodevelopment.
A new mouse study identifies the Necdin (Ndn) gene as a causal factor of autism with 15q11-q13 chromosomal abnormality.
While those with autism are less likely to use substances than those who are not on the autism spectrum, those who do are more likely to self-medicate for their mental health symptoms. Those with ASD who self-medicate report they do so to improve focus and attention and, in some cases, to mask ASD symptoms.
Taking SSRI antidepressants does not increase the risk of developmental delays or autism in children, a new study reports. However, there is an increased risk for ASD and developmental delays in children whose mothers suffer from maternal psychiatric disorders.
Hyperactivity of the dopamine system may explain the prevalent traits and conditions associated with ASD more commonly found in males.
A study in fruit fly models of autism reveals sleep disruption associated with the neurodevelopmental disorder is associated with elevated levels of serotonin. The origin of the higher levels of serotonin was discovered to be in glial cells in the blood-brain barrier.
Bilingualism in children on the autism spectrum partly makes up for deficits in theory of mind and executive function, a new study reports.
People on the autism spectrum have difficulties in identifying angry expressions produced at normal speed and intensity.
Mouse pups with the autism-associated 16p11.2 deletion can not able to correctly perform a specific vocalization pattern to call for their mother when separated from her in the same way those without the deletion can, a new study reveals.
Study reveals how the autism-associated Cullin 3 gene affects brain development in mouse models.
A new computational model can identify genes linked to autism and predict the level of intellectual disability in people with ASD by only using rare mutations in genes already associated with the condition.
