Spatiotemporal models for region of Interest analyses of functional neuroimaging data

Journal of the American Statistical Association

Volumn 102, Issue 478, 2007, Pages 442-453

  Bowman, F DuBois ^a  

^a EMORY UNIVERSITY   (United States)

Author keywords

Covariance modeling; Functional distance metric; Functional magnetic resonance imaging; Mixed model; Position emission tomography; Volume of interest

Indexed keywords

EID: 34250780421     PISSN: 01621459     EISSN: None     Source Type: Journal    
DOI: 10.1198/016214506000001347     Document Type: Article

References (32)

1. Akaike, H. (1974), "A New Look at the Statistical Model Identification," IEEE Transactions on Automatic Control, AC-19, 716-723.
2. Bowman, F. D. (2005), "Spatio-Temporal Modeling of Localized Brain Activity," Biostatistics, 6, 558-575.
3. Bowman, F. D., and Kilts, C. (2003), "Modeling Intra-Subject Correlation Among Repeated Scans in Positron Emission Tomography (PET) Neuroimaging Data," Human Brain Mapping, 20, 59-70.
4. Brodmann, K. (1909), Vergleichende Lokalisationlehre der Grosshirnrinde in ihren Prinzipien Dargestellt auf Grund des Zellenbaues,
5. translated by Garey, L. J. (1994) as Brodmann's Localisation in the Cerebral Cortex, London: Smith-Gordon.
6. Bullmore, E. T., Brammer, M. J., Williams, S. C. R., Rabe-Hesketh, S., Janot, N., David, A. S., Mellers, J. D. C., Howard, R., and Sham, P. (1996), "Statistical Methods of Estimation and Inference for Functional MR Image Analysis," Magnetic Resonance in Medicine, 35, 261-277.
7. Chiu, T. Y. M., Leonard, T., and Tsui, K.-W. (1996), "The Matrix-Logarithmic Covariance Model," Journal of the American Statistical Association, 91, 198-210.
8. Cressie, N. A. (1993), Statistics for Spatial Data, New York: Wiley, p. 70.
9. Department of Transportation, National Highway Traffic Safety Administration (NHTSA) (2004), Traffic Safety Facts 2003: Alcohol, Washington, DC: Author.
10. Friston, K. J., Holmes, A. P., Poline, J. B., Grasby, P. J., Williams, S. C. R., Frackowiak, R. S. J., and Turner, R. (1995), "Analysis of fMRI Time-Series Revisited," NeuroImage, 2, 45-53.
11. Hammers, A., Koepp, M. J., Free, S. L., Brett, M., Richardson, M. P., Labbe, C., Cunningham, V. J., Brooks, D. J., and Duncan, J. (2002), "Implementation and Application of a Brain Template for Multiple Volumes of Interest," Human Brain Mapping, 15, 165-174.
12. Holmes, A. P., Blair, R. C., Watson, J. D. G., and Ford, I. (1996), "Non-Parametric Analysis of Statistic Images From Functional Mapping Experiments," Journal of Cerebral Blood Flow and Metabolism, 16, 7-22.
13. Jennrich, R., and Schlucter, M. (1986), "Unbalanced Repeated-Measures Models With Structured Covariance Matrices," Biometrics, 42, 805-820.
14. Katanoda, K., Matsuda, Y., and Sugishita, M. (2002), "A Spatio-Temporal Regression Model for the Analysis of Functional MRI Data," Neurolmage, 17, 1415-1428.
15. Kenward, M. G., and Roger, J. H. (1997), "Small-Sample Inference for Fixed Effects From Restricted Maximum Likelihood," Biometrics, 53, 983-997.
16. Laird, N., Lange, N., and Stram, D. (1987), "Maximum Likelihood Computations With Repeated Measures: Application of the EM Algorithm," Journal of the American Statistical Association, 82, 97-105.
17. Laird, N., and Ware, J. (1982), "Random-Effects Models for Longitudinal Data," Biometrics, 38, 963-974.
18. Lange, N. (2000), "Statistical Procedures for Functional MRI," in Functional MRI, eds. C. T. Moonen and P. A. Bandettini, New York: Springer-Verlag, pp. 301-335.
19. Lindstrom, M. J., and Bates, D. M. (1988), "Newton-Raphson and EM Algorithms for Linear Mixed-Effects Models for Repeated-Measures Data," Journal of the American Statistical Association, 83, 1014-1022.
20. Maitra, R. (1997), "Estimating Precision in Functional Images," Journal of Computational and Graphical Statistics, 6, 132-142.
21. Penny, W. D., Trujillo-Barreto, N. J., and Friston, K. J. (2005), "Bayesian fMRI Time Series Analysis With Spatial Priors," NeuroImage, 24, 350-362.
22. Purdon, P. L., Solo, V., Weisskoff, R. M., and Brown, E. (2001), "Locally Regularized Spatiotermporal Modeling and Model Comparison for Functional MRI," Neurolmage, 14, 912-923.
23. Schwarz, G. (1978), "Estimating the Dimension of a Model," The Annals of Statistics, 6, 461-464.
24. Shono, H. (2000), "Efficiency of the Finite Correction of Akaike's Information Criteria," Fisheries Science, 66, 608-610.
25. Talairach, J., and Tournoux, P. (1988), Co-Planar Stereotaxic Atlas of the Human Brain, Stuttgart: Thieme-Verlag.
26. Tobler, W. (1970), "A Computer Movie Simulating Urban Growth in the Detroit Region," Economic Geography, 46, 234-240.
27. U.S. Department of Health and Human Services, Substance Abuse and Mental Health Services Administration (2002), Results from the 2001 National Household Survey on Drug Abuse: Volume I. Summary of National Findings (Office of Applied Studies, NHSDA Series H-17 ed., BKD461, SMA 02-3758), Washington, DC: U.S. Government Printing Office.
28. Verbeke, G., and Molenberghs, G. (2000), Linear Mixed Models for Longitudinal Data, New York: Springer-Verlag, pp. 56-57, 74-76.
29. 2, F, and t Fields," Advances in Applied Probability, 26, 13-42.
30. Worsley, K. J., Evans, A. C., Marrett, S., and Neelin, P. (1992), "A Three-Dimensional Statistical Analysis for rCBF Activation Studies in the Human Brain," Journal of Cerebral Blood Flow and Metabolism, 12, 900-918.
31. Worsley, K. J., Evans, A. C., Strother, S. C., and Tyler, J. L. (1991), "A Linear Spatial Correlation Model, With Applications to Positron Emission Tomography," Journal of the American Statistical Association, 86, 55-67.
32. Worsley, K. J., and Friston, K. J. (1995), "Analysis of fMRI Time Series Revisited-Again," NeuroImage, 2, 173-181.