The document discusses the signal averaging method used in BOLD fMRI analysis. It outlines the advantages of signal averaging and describes the methodology, which involves correlating BOLD fMRI data over time and frequency, averaging signals with high correlation, and generating activation maps at different thresholds. The results section analyzes activation maps for different tasks and datasets using this method.

1. Signal Averaging Method (BOLD- fMRI Signal Data)

2. Outline

3. Introduction- fMRI

4. BOLD fMRI

5. Signal Averaging

6. Advantages of Signal Averaging

7. Objective

8. Method

9. Method (cont’d)

10. Flow Chart Diagram BOLD fMRI Data Time Correlation In common Frequency Correlation SIGNAL AVERAGING New Hemodynamic Response Time Correlation with High Threshold Final MAP

11. Imaging Parameters

12. Data Analysis

13. Results

14. Frequency Correlation

15. Time and Frequency Correlation

16. FTAP Hemodynamic Response Vs. Reference

17. Final Activation Map; Threshold = 0.6 Activation observed on the sides of the brain

18. BH Hemodynamic Response bh002

19. Final Map, Threshold = 0.4 Activation observed on the sides and through the Mid line

20. DSST1 Hemodynamic Response bh002

21. Final Map, Threshold = 0.5 Activation only in SLICE # 20 in the back of the brain

22. DSST2 Hemodynamic Response

23. Final Map, Threshold = 0.4

24. DSST3 Hemodynamic Response

25. Final Map, Threshold = 0.5

26. FTAP: bh002 Vs. bh101 OLD bh 101 YOUNG bh 002

27. BH: bh002 Vs. bh101 Hemodynamic Response for bh101 at Threshold= 0.6: Hemodynamic Response for bh002 at Threshold= 0.4:

28. DSST3: bh002 Vs. bh118 Hemodynamic Response for bh118 at Threshold= 0.6: Hemodynamic Response for bh002 at Threshold= 0.5:

29. Conclusion

30. References