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(22 Feb 2011 23:10 GMT) - A computational physicist and a cognitive neuroscientist at Children's Hospital Boston have come up with the beginnings of a noninvasive test to evaluate an infant's autism risk. It combines the standard electroencephalogram (EEG), which records electrical activity in the brain, with machine-learning algorithms. In a pilot study, their system had 80 percent accuracy in distinguishing between 9-month-old infants known to be at high risk for autism from controls of the same age…
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