A new digital app has shown to be successful in detecting one key symptom associated with ASD in young children. The app, which combines gaze tracking and machine learning algorithms, could be an inexpensive new tool to help with the diagnosis of autism.
Addressing a previous, widely criticized research paper, a new study reveals there is no link between epidurals during childbirth and an increased risk of autism diagnosis in children.
Study reveals there are differences in genes and the genetic burdens that underpin ASD between males and females. Researchers also found specific differences in the ways the brains of girls on the autism spectrum respond to different social cues.
Prenatal exposure to heavy metals such as cadmium, lead, and arsenic, and increased levels of the mineral manganese, were linked to an increased risk of ADHD and autism spectrum diagnosis in children.
In the UK, one in 57 children is on the autism spectrum. The number is significantly higher than previously reported. Children from minority backgrounds were up to 38% more likely to be diagnosed with autism. Children with ASD were more likely to also experience social disadvantages.
Motor learning deficits associated with autism may be the result of reduced levels of noradrenaline release in the primary motor cortex.
In both neurotypical males and people on the autism spectrum, researchers found a reduction in resting-state brain function in the default mode network. Additionally, connectivity between the two hemispheres in the visual cortex is reduced in women with ASD.
Proactive control is not impaired in those on the autism spectrum. Instead, those with ASD implement proactive control in a unique manner.