Rutgers scientists have used a diagnostic technique for the first time in the opioid addiction field that they believe has the potential to determine which opioid-addicted patients are more likely to relapse. Using an algorithm that looks for patterns in brain structure and functional connectivity, researchers were able to distinguish prescription opioid users from healthy participants. If treatment is successful, their brains will resemble the brain of someone not addicted to opioids. “People can say one thing, but brain patterns do not lie,” said Suchismita Ray, lead researcher and an associate professor in the Department of Health Informatics at Rutgers School of Health Professions. “The brain patterns that the algorithm identified from brain volume and functional connectivity biomarkers from prescription opioid users hold great promise to improve over current diagnosis.” To read the full story.