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Researchers say MRI scans show very specific brain activity that could help diagnose autism and aid people in determining early treatment options.
Developers gather at a weekend hackathon to use natural language processing, Kinect tech, Google Glass, and big data to help people with autism live a more self-sufficient life.
Using MRI to measure brain activity, researchers at Stanford find that kids with autism have a weaker connection between language and reward centers than kids without autism.
One study examines the brain's organization of white matter, while another measures its electrical activity -- in both cases, to detect autism.
Medical researchers at the University of Utah are using MRI to identify areas in the brains of people with autism that do not communicate properly.
New research suggests that an algorithm based on 12 acoustic parameters associated with vocal development identifies autism in children with 86 percent accuracy.
Children's Hospital of Philadelphia researchers find that a pattern of brain response visible via magnetoencephalography may be the first imaging biomarker for autism.
LenaBaby, a home device that records 16 hours of audio from a toddler's shirt pocket, appears to predict autism in children as young as 24 months with 91 percent accuracy.
The final clip for this week's celebration of Jimmie Johnson wins we get the thrilling conclusion of the 2009 Autism Speaks 400 when Johnson came from behind to squeak out a win over Tony Stewart.
Suppressing the activity of a particular enzyme fixed brain cell structure and communication and improved mouse behavior.