Goals for the course: By the end of this course, attendees should have a firm grasp of common fMRI processing steps, and how they affect data. They should understand how to model fMRI data at the individual and group levels, and they should understand some of the unique considerations required for processing resting state data. Hardware/Software Prerequisites: (1) personal computer with active internet connection, (2) MATLAB, (3) SPM12, (4) FSL (optional, final session) Session 1 – Preprocessing 0:00 – 0:15Introduction – overview0:15 – 0:30Slice timing correction, motion correction0:30 – 0:45Coregistration, Segmentation & Normalization0:45 – 1:00Individual assistance 1:00 – 1:15Distortion correction1:15 – 1:30Assessing data quality1:30 – 1:45Individual assistance / break 1:45 – 2:00Session 2 – Modeling 1:30 – 1:45Introduction to the GLM1:45 – 2:001st level models2:00 – 2:15Thresholding and multiple comparisons2:15 – 2:30Individual assistance 2:30 – 2:452nd level group effects2:45 – 3:00Differences between groups3:00 – 3:15Individual assistance / break 3:15 – 3:30Session 3 – Pulse Sequence Considerations and Resting State 3:30 – 3:45Optimizing parameters – common problems3:45 – 4:00What is the resting state4:00 – 4:15Temporal confounds4:15 – 4:30Seed Region Analysis4:30 – 4:45Independent Component Analysis4:45 – 5:00Wrap up - Questions
