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New Brain Scan Can Now Detect Autism In Infants As Old As 6 Months.

By scanning the brains of babies whose siblings have autism, researchers say they have been able to make reasonably accurate forecasts about which of these high-risk infants will later develop autism themselves.

New Brain Scan Can Now Detect Autism In Infants As Old As 6 Months.

Autism is a spectrum disorder, which is also known as Autism Spectrum Disorder (ASD). It is primarily a developmental and bio- neurological disorder. A child with autism has immense difficulty in social interaction and spoken communication. Regardless of these commonalities, no two children suffering from autism are similar. The signs and characteristics present themselves in varying permutation and combinations which can range from mild to severe. According to researchers, siblings of children diagnosed with autism are at higher risk of developing the disorder.

Currently, clinicians can't diagnose autism until toddlers that are about 2, when the first behavioral and language symptoms of the developmental disorder become noticeable. Scientists are developing more sophisticated screening tests that rely on brain-imaging techniques or eye-tracking technologies that monitor an infant's gaze to pick up early autistic signs still there is no reliable way to diagnose the condition in younger infants.

The director of Eunice Kennedy Shriver National Institute of Child Health and Human Development in the US, Diana Bianchi and NIH-funded investigators at the University of North Carolina at Chapel Hill and Washington University School of Medicine in St. Louis used specific magnetic resonance imaging procedure to determine 82 percent of the newborns, who would go on to have autism (9 out of 11) and it correctly identified all of the children, who did not develop autism by using functional connectivity magnetic resonance imaging (fcMRI).

autism child development

Currently, clinicians can't diagnose autism until toddlers that are about 2 years old
Photo Credit: iStock



Researchers used a computer-based technology called machine learning, which trains itself to look for differences that can separate the neuro imaging results into two groups, autism or non-autism, and predict future diagnoses. Joshua Gordon, director of the National Institute of Mental Health said that in the future, neuro imaging may be a useful tool to diagnose autism or help health care providers evaluate a child's risk of developing the disorder.

The team eventually found 974 functional connections in the brains of 6 month old infants that were associated with autism-related behaviors. The researchers claimed that a single neuro-imaging scan may accurately predict autism among high-risk infants, but caution that the findings need to be replicated in a larger group. The study is published in the journal of Science Translational medicine.

(With inputs from ANI)

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