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

fMRI: Biological Basis and Experiment Design Lecture 24: GLM in all its glory. Previously. Assumed shape of HIRF, analysis for single voxel. =. X. time. Previously. voxels. Assumed shape of HIRF, analysis in many voxels. X. =. time. voxels. Today.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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