Quantitative Methods for Brain Connectivity Network Estimation & Inference in Functional Magnetic Resonance Imaging
Brain functional connectivity maps have been utilized to learn about differences of brain activation patterns between disease groups via clustering voxels based on their connectivity patters. This project develops general frameworks for estimating associations of brain connectivity maps with predictors of interest after controlling for confounders using a statistical modeling approach that allows for using the special structure of covariance outcomes for improved parameter estimation.