############## Course program ############## ******** Overview ******** We aimed to cover: * Loading and manipulating images * Image diagnostics * Slice time correction by time interpolation * Principles and practice of image registration * Motion correction for FMRI * Inter-modality registration * Registration between subjects (spatial normalization) * Smoothing * The principles of linear regression * Principles of convolution (for hemodynamic modeling) * Single subject analysis * Methods for correcting for multiple comparisons * Multisubject analysis and random effects (we did not cover the multi-subject analyses or multiple comparisons) Other subjects we considered covering according to time and interest: * Connectivity analysis methods * Analyzing resting state data * Machine learning / classification methods * Diffusion imaging principles * Diffusion imaging analysis including tractography (we did not have time for any of these other subjects) ****** By day ****** .. toctree:: day0 day1 day2 day3 day4 day5 day6 day7 day8 day9 day10 day11 day12 day13 day14 day15 day16 day17 day18 day19 day20 day21 day22 day23 day25 day26 day27 day28