MRIs show a brain anomaly in nearly 70 percent of babies at high risk of developing the condition who go on to be diagnosed, laying the groundwork for a predictive aid for pediatricians and the search for a potential treatment.
This first-of-its-kind study used MRIs to image the brains of infants, and then researchers used brain measurements and a computer algorithm to accurately predict autism before symptoms set in.
Groundbreaking initiative combines web-based registry with DNA analysis to accelerate autism research and speed discovery of personalized treatments.
Researchers at the Carolina Institute for Developmental Disabilities tracking age-related issues of autism identified an increased risk of Parkinson’s disease in this high-impact paper.
Joseph Piven, MD, and his team are trying to fill the gaps in our understanding of what it has meant and will mean to live with autism as older adults.
UNC researchers find that the bigger the differences in brain activity related to emotion regulation, the more severe the autism. Gabriel Dichter, PhD, associate professor of psychiatry and psychology was the paper's senior author.
Multiple programs at UNC to utilize $900,000 grant from the U.S. Department of Health and Human Services
