fMRI Design Optimization

Thomas Liu
University of California, San Diego (UCSD)

The proper design of an fMRI experiment can involve many factors that are critical to its success. In this talk, I will focus on optimizing the statistical efficiency of designs. After reviewing the framework of the general linear model, I will introduce metrics for statistical efficiency and discuss how these metrics
strongly depend on the underlying assumptions that an investigator must inevitably make. I will also review methods for optimizing statistical efficiency, such as the use of m-sequences and genetic algorithms.

Audio (MP3 File, Podcast Ready) Presentation (PowerPoint File)

Back to Summer School: Mathematics in Brain Imaging