Title: Computational analysis of multimodal brain and physiological dynamics
Abstract
Advances in neuroimaging and machine learning are providing exciting opportunities for investigating human brain function in health and disease. Here, we will discuss several directions focused on integrating dynamic measurements of brain activity (functional MRI, EEG) and physiological sensor data. We will discuss how these multimodal temporal signals can enrich the measurement and analysis of behavioral states, such as alertness, and inform the development of clinical biomarkers.
Speaker Bio
Dr. Catie Chang is the Sally and Dave Hopkins Faculty Fellow and Assistant Professor of Electrical and Computer Engineering and Computer Science at Vanderbilt University. Her research group, the Neuroimaging and Brain Dynamics Lab, investigates computational techniques for studying human brain activity. Prior to joining Vanderbilt University, she was a Research Fellow at the NIH and received her Ph.D. in Electrical Engineering from Stanford University.
