Chapter 11 Study Questions

  1. What are the differences between hypothesis-driven and data-driven analyses?
  2. What is meant by a “data reduction technique” in the context of fMRI analysis?
  3. What are the differences between principal components analysis (PCA) and independent components analysis (ICA)?
  4. How might researchers use a technique like ICA to improve the quality of their data during preprocessing?
  5. What is hyperscanning? Why might it be a useful technique for fMRI?
  6. What does it mean for two regions to exhibit functional connectivity?
  7. What do fMRI researchers evaluate when they look for psychophysiological interactions?
  8. Why do fMRI researchers run experiments in which participants have no task at all (i.e., resting-state fMRI)?
  9. What are the goals of the Human Connectome Project? 
  10. Why is it difficult to identify causal relations between brain regions using fMRI?
  11. What approaches have fMRI researchers used to identify causal influences? What are their limitations?
  12. How can fMRI and DTI data be combined to provide information about functional relations between brain regions?
  13. What are some applications of fMRI biofeedback?
  14. How can fMRI data be used to predict variation in behavior, such as the decisions people make on different trials?
  15. What is the basic approach for multi-voxel pattern analysis in fMRI?
  16. What are the strengths and limitations of multi-voxel pattern analysis?
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