Psychiatric disorders — including autism — are characterized and diagnosed based on a clinical assessment of verbal and physical behavior. However, brain imaging and cognitive neuroscience are poised to provide a powerful advanced new tool.
Carnegie Mellon University researchers have created brain-reading techniques to use neural representations of social thoughts to predict autism diagnoses with 97 percent accuracy. This establishes the first biologically based diagnostic tool that measures a person’s thoughts to detect the disorder that affects many children and adults worldwide.
Credit: Carnegie Mellon University
In addition to Just, the research team included CMU’s Vladimir L. Cherkassky, Augusto Buchweitz, Timothy A. Keller and Tom M. Mitchell.
The National Institute of Mental Health funded this research.