Title: Learning Brain Functional Networks for Mental Disorder Diagnosis
Speaker : Prof. Dinggang Shen (University of North Carolina at Chapel Hill)
Time: 11:00 A.M.
Location: Room 604, Woo Jung Information & Communication bldg.
Hosted by Dept. of Brain & Cognitive Engineering, Korea University / Research Center for Artificial Intelligence, Korea University / Institute of Brain and Cognitive Engineering, Korea University / BK21+ Global Leader Development Division in Brain Engineering, Korea University / Interdisciplinary Major in Brain and Cognitive Science
Abstract:
Brain functional connectivity and the complex brain networks are very informative for investigation of cognitive function and its alterations due to various mental disorders. In this talk, I will present our recently developed methods for high-order brain network construction, directional network modeling, and various advanced machine learning and deep learning frameworks for learning discriminative features from brain networks for individualized disease diagnosis. I will also briefly introduce our newly developed toolbox, for facilitating clinicians and neuroscientists to construct brain functional networks and conduct network-based analysis/classification. All the methodological advances and their clinical applications are bringing brain functional network analysis from bench to bedside.