Analysis of neural connectivity in infants could be used to predict autism

A group of researchers based at the University of California Los Angeles (UCLA; CA, USA) have identified that signature brain activity in infants could be used to predict symptoms of autism spectrum disorder (ASD) later in life. The authors of the paper, published in Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, suggest that electroencephalography can be used to identify and monitor infants most at risk. The study involved 65 infants, of which, 29 had low familial risk of ASD and 36 had older siblings with autism so were considered at high risk. When the infants were 3 months old, the researchers...