An introduction to imaging genetics and the random field theory
3pm on Wednesday, November 16th 2011 (CS.104)
In the first part of the presentation, I'm going to give a rough introduction to imaging genetics, including some backgrounds, advantages/challenges in imaging genetics, and some recent imaging genetics studies. The random field theory is a potential method to take advantages of the spatial information in 3D imaging data, detect spatial distributed signals, increase sensitivity and reduce computational efforts in imaging genetics. So in the second part of the presentation I will give a rough introduction to the random field theory and its applications in neuroimaging, including the basic ideas of peak and cluster size inferences, smoothness estimation and nonstationarity.