An empirical comparison of SPM preprocessing parameters to the analysis of fMRI data

NeuroImage

Volumn 17, Issue 1, 2002, Pages 19-28

  Della Maggiore, Valeria ^a   Chau, Wilkin ^a   Peres Neto, Pedro R ^b   McIntosh, Anthony R ^a  

^a ROTMAN RESEARCH INSTITUTE   (Canada)

^b UNIVERSITY OF TORONTO   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; COMPARATIVE STUDY; CORRELATION FUNCTION; EMPIRICISM; EVALUATION; EVENT RELATED POTENTIAL; FILTER; IMAGE PROCESSING; MONTE CARLO METHOD; NUCLEAR MAGNETIC RESONANCE IMAGING; PRIORITY JOURNAL; RISK; STATISTICAL PARAMETERS; STATISTICAL PARAMETRIC MAPPING;

EID: 0036741221     PISSN: 10538119     EISSN: None     Source Type: Journal    
DOI: 10.1006/nimg.2002.1113     Document Type: Article

References (31)

1. Adler, R. J. 1981. The Geometry of Random Fields. Wiley, New York.
2. Aguirre, G. K., Zarahn, E., and D'Esposito, M. 1998. The inferential impact of global signal covariates in functional neuroimaging analyses. Neuroimage 8(3): 302-306.
3. Cox, R. W. 1996. AFNI: Software for analysis and visualization of functional magnetic resonance neuroimages. Comput. Biomed. Res. 29(3): 162-173.
4. Cohen, M. S. 1997. Parametric analysis of fMRI data using linear systems methods. NeuroImage 6: 93-103.
5. Cohen, J. 1988. Statistical Power Analysis for the Behavioral Sciences. 2nd ed. L. Erlbaum, Hillsdale, NJ.
6. D'Esposito, M., Zarahn, E., and Aguirre, G. K. 1999. Event-related functional MRI: Implications for cognitive psychology. Psychol. Bull. 125(1): 155-164.
7. Dryden, I. L., and Walker, G. 1999. Highly resistant regression and object matching. Biometrics 55: 820-825.
8. Efron, B., and Tibshirani, R. J. 1993. An Introduction to the Bootstrap. Chapman & Hall.
9. Friston, K. J., Jezzard, P., and Turner, R. 1994. Analysis of functional MRI time series. Hum. Brain Mapp. 1: 153-171.
10. Friston, K. J., et al. 1995. Statistical parametric maps in functional imaging: A general linear approach. Hum. Brain Mapp. 2: 189-210.
11. Friston, K. J., Frith, C. D., Turner, R., and Frackowiak, R. S. 1995a. Characterizing evoked hemodynamics with fMRI. NeuroImage 2(2): 157-165.
12. Friston, K. J., Holmes, A. P., Poline, J. B., Grasby, P. J., Williams, S. C., Frackowiak, R. S., and Turner, R. 1995b. Analysis of fMRI time-series revisited. NeuroImage 2(1): 45-53.
13. Friston, K. J., Josephs, O., Zarahn, E., Holmes, A. P., Rouquette, S., and Poline, J. 2000. To smooth or not to smooth? Bias and efficiency in fMRI time-series analysis. NeuroImage 12(2): 196-208.
14. Giesbrecht, B., Woldorff, M. G., Fichtenholtz, H. M., and Mangun, G. R. 2000. Isolating the neural mechanisms of spatial and non-spatial attentional control. 30th Annual Meeting of the Society for Neuroscience, New Orleans, LA.
15. Holmes, A. P., Josephs, O., Büchel, C., and Friston, K. J. 1997. Statistical modeling of low-frequency confounds in fMRI. Proceeding of the 3rd International Conference of the Functional Mapping of the Human Brain, S480.
16. Hopfinger, J. B., Buchel, C., Holmes, A. P., and Friston, K. J. 2000. A study of analysis parameters that influence the sensitivity of event-related fMRI analyses. NeuroImage 11(4): 326-33.
17. Liu, T. T., Frank, L. R., Wong, E. C., and Buxton, R. B. 2001. Detection power, estimation efficiency, and predictability in event-related fMRI. NeuroImage 13: 759-773.
18. Jezzard, P., and Song, A. W. 1996. Technical foundations and pitfalls of clinical fMRI. NeuroImage 4(3 Pt 3): 63-75.
19. Mcintosh, A. R., Grady, C. L., Haxby, J. V., Maisog, J. Ma, Horwitz, B., and Clark, C. M. 1996. Within subject transformations of PET regional cerebral blood flow data: ANCOVA, ratio, and Z score adjustments on empirical data. Hum. Brain Mapp. 4: 93-102.
20. Oden, N. L. 1991. Allocation of effort in Monte Carlo simulation for power of permutation tests. J. Am. Stat. Assoc. 86: 1074-1076.
21. Peres-Neto, P., and Olden, J. D. 2001. Assessing the robustness of randomization tests: Examples from behavioral studies. Animal Behav. 61: 79-86.
22. Petersson, K. M., Nichols, T. E., Poline, J.-B., and Holmes, A. P. 1999. Statistical limitations in functional neuroimaging II. Signal detection and statistical inference. Philos. Trans. R. Soc. Lond. B 354: 1261-1281.
23. Purdon, P. L., and Weisskoff, R. M. 1998. Effect of temporal autocorrelation due to physiological noise and stimulus paradigm on voxel-level false-positive rates in fMRI. Hum. Brain Mapp. 6(4): 239-249.
24. Ramsay, S. C., Murphy, K., Shea, S. A., Friston, K. J., Lammertsma, A. A., Clark, J. C., Adams, L., Guz, A., and Frackowiak, R. S. 1993. Changes in global cerebral blood flow in humans: Effect on regional cerebral blood flow during a neural activation task. J. Physiol. 471: 521-534.
25. Stephens, M. A. 1974. EDF statistics for goodness of fit and some comparisons. J. Am. Stat. Assoc. 69: 730-737.
26. Thomas, L., and Krebs, C. 1997. A review of statistical power analysis software. Bull. Ecol. Soc. Am. 78: 126-140.
27. Turner, R., Howseman, A., Rees, G. E., Josephs, O., and Friston, K. 1998. Functional magnetic resonance imaging of the human brain: Data acquisition and analysis. Exp. Brain Res. 123(1-2): 5-12.
28. Worsley, K. J., Evans, A. C., Marrett, S., and Neelin, P. A. 1992. Three-dimensional statistical analysis for CBF activation studies in human brain. J. Cereb. Blood Flow Metab. 12(6): 900-1180.
29. Worsley, K. J., and Friston, K. J. 1995. Analysis of fMRI time-series revisited - Again. NeuroImage 2(3): 173-181.
30. Worsley, K. J., Marrett, S., Neelin, P., Vanal, A. C., Friston, K. J., and Evans, A. C. 1996. A unified statistical approach for determining significant signals in images of cerebral activation. Hum. Brain Mapp. 4: 58-73.
31. Zarahn, E., Aguirre, G. K., and D'Esposito, M. 1997. Empirical analyses of BOLD fMRI statistics. I. Spatially unsmoothed data collected under null-hypothesis conditions. NeuroImage 5(3): 179-197.