Researchers work on early autism detection formula

MRI image with extracted brain structures
MRI image with extracted brain structures
 

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Scientists at the University of Missouri are looking into developing a formula for the early detection of autism.

The researchers are using 3D imaging to reveal correlations in the facial features and brain structures of children with autism spectrum disorder (ASD).

It is hoped that the work will reveal genetic clues which will help additional research into autism, a brain disorder involving behavioural, social and communication difficulties.

"When you compare the faces and head shapes of children with specific types of autism to other children, it is obvious there are variations," said Ye Duan, from the university's college of engineering.

"Currently, autism diagnosis is purely behaviour based and doctors use tape measurements to check for facial and brain dissimilarities. We are developing a quantitative method that will accurately measure these differences and allow for earlier, more precise detection of specific types of the disorder.

"Once we have created a formula, we can pre-screen children by performing a quick, non-invasive scan of each child's face and brain to check for abnormalities. Early detection is crucial in treating children and preparing families."

The facial and brain imaging work will focus on the two ASD groups suggested by Judith Miles, professor of pediatrics and pathology.

She has claimed that children with a tendency toward more physical and brain abnormalities and smaller heads have complex autism. Only about 20 per cent of affected children fit into this group. The other 80 per cent are classified as having essential autism.


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