Functional principal component model for high-dimensional brain imaging

► Major directions of variation in data are modeled. ► We connect the methods to formal mixed effect models for imaging data. ► Model fitting can be performed iteratively via a SVD. ► The methods are scalable to large neuroimaging studies.