1. fMRI: Biological Basis and Experiment Design Lecture 24: GLM in all its glory

2. Previously... X = time Assumed shape of HIRF, analysis for single voxel

3. Previously... X= time voxels Assumed shape of HIRF, analysis in many voxels

4. Today x= time Estimate shape of HIRF (single voxel)

5. Design matrix time stim 1stim 2stim 3baseline trends, etc. stim 1stim 2stim 3 Assuming HIRF:Not assuming HIRF:

6. Regression coefficients stim 1 Assuming HIRF:Not assuming HIRF: stim 2 stim 3 trend 1 trend 2 trend 3 stim 1 stim 2 stim 3 trends

7. Example 1: Slow ER, "same" HIRFs, no trends no trends Ax Data simulation: A*x + noise

8. Example 1: Slow ER, "same" HIRFs, no trends

10. Example 2: Slow ER, "same" HIRFs, trends

12. Example 3: Rapid ER, "same" HIRFs, no trends

14. Example 4: Rapid ER, diff. HIRFs, no trends

16. Example 5: Rapid ER, diff. HIRFs, trends

18. Example 6: Block design, diff. HIRFs, trends