Functional magnetic resonance imaging (fMRI) is one of the leading brain mapping technologies for studying brain activity in response to mental stimuli. For neuroimaging studies utilizing this pioneering technology, there is a great demand of high-quality experimental designs that help to collect informative data to make precise and valid inference about brain functions. In this talk, I provide a survey on some recently developed analytical and computational results on fMRI design selection. The performance of some commonly considered designs such as blocked designs, and m-sequences is discussed. In addition, I present a recently proposed new type of fMRI designs that are constructed using a certain type of Hadamard matrices. Under certain assumptions, these designs can be shown to be statistically optimal. Some future research directions in design of fMRI experiments are also discussed.
More information on Jason Kao may be found at http://math.la.asu.edu/~mhkao/