Rosalyn Moran presented insights into analyzing rhythmic neurological data
Rosalyn Moran, PhD
Rosalyn Moran, an assistant professor at the Virginia Tech Carilion Research Institute, spoke on June 5 at Rhythmic Dynamics and Cognition, a two-day event at the Massachusetts Institute of Technology. The event was sponsored by the Cognitive Rhythms Collaborative, a group of scientists in the Boston area who work together to advance understanding of the brain dynamics underlying cognitive functions, such as sensory processing, attention, learning, memory, and motor planning.
Moran joined several other specialists in a series of talks focusing on the analysis of rhythmic data. As an expert on dynamic causal modeling – a way to interpret data from functional magnetic resonance imaging scans – and an avid computer programmer, she writes the portion of the most-used brain imaging software, Statistical Parametric Mapping, that deals with dynamic causal modeling. Moran’s talk, “Dynamic Causal Models to Unpack the Physiological Connectivity of Oscillatory Brain Networks,” provided insights into the methodology’s use in analyzing rhythmic data.