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Research Abstracts Online
January - December 2011

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University of Minnesota Twin Cities
School of Public Health
Division of Biostatistics

PI: Lynn E. Eberly

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.

Group Member

Shuzhen Li, Graduate Student