Autism Predicted By Infant Brain Changes, Study Says

(CNN) -- It may be possible to predict whether an infant will go on to develop autism, researchers say.

Overgrowth in brain volume during the first year of life forecasts whether a child at high risk of developing autism spectrum disorder is likely to receive a diagnosis at age 2, according to a small study published Wednesday in the journal Nature.

This new diagnostic method requires MRI brain scans to look for the features of autism, a developmental disability with behavioral symptoms that usually become obvious between ages 2 and 4.

Further research is needed before it can be developed into a tool for diagnosing infants at high risk of developing autism, said Heather Cody Hazlett, lead author of the study and a psychologist at the Carolina Institute for Developmental Disabilities and the University of North Carolina at Chapel Hill.

Common symptoms of autism include difficulty with communication and repetitive behaviors. In the United States, about one in 68 children has been identified with autism spectrum disorder, according to the Centers for Disease Control and Prevention. Yet, for infants who have an autistic sibling, the risk of developing the disorder may be as high as one in five. The risk is only one in 100 for infants without an affected sibling.

Measuring the brain

Hazlett and her colleagues studied two groups of infants: a high-risk group of 106 infants who had an older sibling with autism and a low-risk group of 42 infants with no immediate family history of autism.

The research team used MRI technology to measure brain development for each infant at set time points between 6 months and 24 months of age. Specifically, the research team measured overall volume, surface area and thickness of the cerebral cortex in particular regions.

Hazlett and her colleagues discovered an overgrowth of cortical surface area in infants later diagnosed with autism, compared with the typically developing infants. 

Next, the team developed an algorithm that predicted, based on all the brain measurements, about 80% of the 15 high-risk infants who would later meet the criteria for autism at 24 months. Using the algorithm, the researchers also made near-perfect predictions about which babies would not develop autism by age 2.

According to Dr. Joseph Piven, senior author of the study and a professor of psychiatry at the University of North Carolina at Chapel Hill, evidence from previous studies has showed that, compared with typically developing children, the brain volume of autistic children increased around age 2. These findings suggest "that brain overgrowth was happening before 2," Piven said.

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