Statistical Methods for False Discovery Rate Control in Whole-Brain Neuroimaging
This project will develop and compare several novel statistical approaches for controlling the false discovery rate (FDR) in whole-brain imaging (e.g., MRI, fMRI, PET) when voxel-wise hypothesis testing of contrasts of interest is being carried out. Such contrasts might include, for example, test-vs.-rest comparisons, analogous comparisons appropriate for more complex experimental designs, or patient-vs.-control comparisons. Current FDR approaches do not take advantage of the spatial correlation structure within the brain, or make overly simplistic assumptions about its structure. These researchers consider novel approaches that either implicitly or explicitly incorporate spatial information into the FDR control method. With the growing use of neuroimaging in many areas of clinical care, appropriate statistical methods for the use of such data will be more and more important.
A bibliography of this group’s publications acknowledging MSI is attached.