Researchers use machine learning approach to accurately predict risk of depression

Depression affects more than 15 million American adults, or about 6.7 percent of the U.S. population, each year. It is the leading cause of disability for those between the ages of 15 and 44. Is it possible to detect who might be vulnerable to the illness before its onset using brain imaging? David Schnyer, a cognitive neuroscientist and professor of psychology at The University of Texas at Austin, believes it may be. But identifying its tell-tale signs is no simpler matter.