Texas A&M University 3 credits PBSI
Physics of magnetic resonance imaging; experimental design for fMRI; linear and nonlinear image registration; data denoising; data filtering and smoothing; volume and surface methods; General Linear Models and multivariate approaches to subject-level data; mixed effects modeling, random effects modeling, permutation methods for linear models; functional connectivity. Prerequisite: Graduate classification or approval of instructor; coursework in regression models recommended.
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