Lab Manual:FMRI Data Analysis

Preprocessing

• Functional preprocessing
• Anatomical preprocessing (nudging and warping by hand)
• Checking for motion
• Troubleshooting

Modeling

• Overview
• Making regressors
• Running a general linear model (GLM)
• Calculating Mean Squared Successive Deviation (MSSD -- an optional measure of temporal variance)

Group Maps

• Group anatomical (optional)
• Group level t-tests
• Individual differences
• Making activation tables

Volume of Interest Analysis

• Making VOI Masks
• Warping VOI Masks
• Dumping Timecourses
  • Averaged Timecourse (iresp)
  • Raw Timecourses
  • Regression Coefficients
• Plotting timecourses
• Logistic regression
• Mediation Analysis

What does this AFNI Function do?

• AFNI Programs and Plugins: Here is a list of useful AFNI commands and their functions. You can also google commands on the AFNI discussion board, or type in the afni command at the command prompt.

General Program Guides

• E-Prime
• MATLAB
• Stata

Exercise for newbies

If you're new to FMRI data analysis, you could first try the following:
1. Find a recent neuroimaging paper (for example Knutson et. al. 2005 or Knutson et. al. 2007 would work well). First give the paper a quick read through to get the main idea of the paper.
2. Next, slowly and carefully read through the methods section.
3. Finally, try to identify all of the steps required to run the analyzes in the paper. See if you can match the steps you found in the methods section to the steps in the above pipeline.
This should give you a good sense of the overall flow of data processing from start to finish.