What:Brain Imaging Series Lecture
When: Wednesday, January 12, 2011 3:15-4:15pm
Who: Free, Open to the public
Where: Center for Advanced Brain Imaging, Conference Room
Interdisciplinary Neuroimaging and Its Data Analysis
Department of Statistics and Department of Psychology
University of Illinois at Urbana-Champaign
Neuroimging is a highly interdisciplinary field that requires mathematical and statistical computation to solve complex neuroscience problems. The underlying computational issues are challenging and often hampered by the variability of brain anatomy and physiology, and the nature of the imaging data to be handled such as the presence of noise and correlation, and the sample and data sizes, etc. In this talk, after the brief introduction of neuroimaging, I will present the computational and statistical methods we have developed for several problems in the realms of brain morphometry, neural circuits and individual differences in learning from analyzing structural and functional magnetic resonance imaging (MRI) data. The discussion will include a description of the problem areas, an overview of the statistical techniques involved, and a presentation of results on simulated and real brain imaging data using these quantitative methods.