“Led by Todd Braver, a professor of psychological and brain sciences in Arts & Sciences, and ShiNung Ching, an associate professor in the Preston M. Green Department of Electrical & Systems Engineering in the McKelvey School of Engineering, the work introduces a novel framework that will allow the researchers to create individualized brain models based on detailed data from noninvasive, high-temporal resolution brain scans. Such personalized models have applications in research and clinical settings, where they could support advances in neuroscience and treatment of neurological conditions. The research was published Jan. 17 in PNAS.
“This research is motivated by our need to understand person-to-person variation in brain dynamics,” said first author Matthew Singh, who conducted the research while a postdoctoral fellow with Braver and Ching at WashU and is now an assistant professor at the University of Illinois Urbana-Champaign. “We’re not explaining the full range of biophysical mechanisms at work in the human brain, but we are able to shed light on why healthy individuals have different brain dynamics with our new modeling framework, which gives us insights into brain mechanics and testable predictions of brain phenomena.””