New research points to a simple way to diagnose autism, even in non-verbal patients

Measuring the brain's ability to toggle between two images is highly correlated to the severity of autism symptoms in study participants

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A child uses a touch screen tablet computer.

Photo by Hal Gatewood on Unsplash 

A recent study from researchers at Johns Hopkins University and Dartmouth College has identified a new marker for autism that could facilitate earlier diagnosis. The marker is a difference in the autistic brain’s capacity for binocular rivalry, which describes the visual cortex’s ability to process one image at a time when presented with multiple images at once. The brain's inability to ignore one of several competing stimuli is tied to the hypersensitivity to sensory input that is characteristic of autism.

Study participants were shown checkerboard patterns of different colors in their right and left eyes, and their visual processing of the images was measured through an electrode that picks up on brain signals. Autistic participants were much less able to toggle their focus between the two images, compared to neurotypical  participants. Amazingly, the researchers found that the rate of binocular rivalry they measured was predictive of the severity of one’s symptoms, and using the data they could diagnose autism in study participants with 87% accuracy. A clear benefit of this study is that this marker is non-verbal, which means it can be used to evaluate young children who have not started talking yet as well as non-verbal adults.  

While this work provides insight into the underlying neurological root of autism and establishes a new diagnostic tool, it’s important to remember that autism is not a problem to be solved. While the differences in the autistic brain may lead to social challenges, they also impart unique intellectual abilities.