Five Challenges in fMRI - Lecture

Five Challenges in fMRI - Lecture

MGH Martinos Center via YouTube Direct link

Challenges

8 of 18

8 of 18

Challenges

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Five Challenges in fMRI - Lecture

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  1. 1 Intro
  2. 2 What has improved after 30 years
  3. 3 What has not improved
  4. 4 Types of controversies
  5. 5 Mysteries
  6. 6 Four Pillars
  7. 7 Application
  8. 8 Challenges
  9. 9 Seamless data and code pooling
  10. 10 Publication workflow
  11. 11 Shared data
  12. 12 Curated data
  13. 13 Goals
  14. 14 Physiological noise
  15. 15 Blood volume
  16. 16 Realtime assessment
  17. 17 Ongoing fluctuation
  18. 18 Biomarkers

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