Bayesian model comparison in nonlinear BOLD fMRI hemodynamics

Neural Computation

Volumn 20, Issue 3, 2008, Pages 738-755

  Jacobsen, Daniel J ^a   Hansen, Lars Kai ^a   Madsen, Kristoffer Hougaard ^a,b  

^a TECHNICAL UNIVERSITY OF DENMARK   (Denmark)

^b Department of Obstetrics Gynaecology   (Denmark)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; BAYES THEOREM; BIOLOGICAL MODEL; BRAIN; BRAIN ARTERY; BRAIN CIRCULATION; COMPARATIVE STUDY; COMPUTER SIMULATION; HEMODYNAMICS; HISTOLOGY; HUMAN; METHODOLOGY; NONLINEAR SYSTEM; NUCLEAR MAGNETIC RESONANCE IMAGING; OXYGEN CONSUMPTION; PHYSIOLOGY; PROBABILITY; VASCULARIZATION;

BAYES THEOREM; BRAIN; CEREBRAL ARTERIES; CEREBROVASCULAR CIRCULATION; COMPUTER SIMULATION; HEMODYNAMICS; HUMANS; MAGNETIC RESONANCE IMAGING; MARKOV CHAINS; MODELS, NEUROLOGICAL; NONLINEAR DYNAMICS; OXYGEN CONSUMPTION;

EID: 41549127249     PISSN: 08997667     EISSN: 1530888X     Source Type: Journal    
DOI: 10.1162/neco.2007.07-06-282     Document Type: Article

References (18)

1. Abramowitz, M., & Stegun, I. A. (Eds.) (1972). Handbook of mathematical functions with formulas, graphs, and mathematical tables. New York: Dover.
2. Bandettini, P. A., Birn, R. M., Kelley, D., & Saad, Z. S. (2002). Dynamic nonlinearities in bold contrast: Neuronal or hemodynamic? Dordrecht: Elsevier.
3. Buxton, R. B., Uludag, K., Dubowitz, D. J., & Liu, T. T. (2004). Modeling the hemodynamic response to brain activation. NeuroImage, 23, 220-233.
4. Buxton, R. B., Wong, E. C., & Frank, L. R. (1998). Dynamics of blood flow and oxygenation changes during brain activation: The balloon model. MRM, 39, 855-864.
5. Friston, K. (2003). Introduction: Experimental design and statistical parametric mapping. In R. S. J. Frackowiak, K. J. Friston, C. Frith, R. Dolan, K. J. Friston, C. J. Price, et al. (Eds.), Human brain function (2nd ed). Orlando, FL: Academic Press.
6. Friston, K. J., Mechelli, A., Turner, R., & Price, C. (2000). Nonlinear responses in fMRI: The balloon model, Volterra kernels, and other hemodynamics. NeuroImage, 12, 466-477.
7. Ghahramani, Z., & Beal, M. (2000). Graphical models and variational methods. In D. Saad & M. Opper (Eds.), Advanced mean field methods - theory and practice. Cambridge, MA: MIT Press.
8. Goutte, C., Hansen, L. K., Liptrot, M. G., & Rostrup, E. (2001). Feature-space clustering for fMRI meta-analysis. Human Brain Mapping, 13, 165-183.
9. Gregory, P. (2005). Bayesian logical data analysis for the physical sciences: A comparative approach with mathematica support. Cambridge, MA: Cambridge University Press.
10. Kong, Y., Zheng, Y., Johnston, D., Martindale, J., Jones, M., Billings, S., et al. (2004). A model of the dynamic relationship between blood flow and volume changes during brain activation. J. Cereb. Blood Flow Metab., 24, 1382-1392.
11. Larsen, J., & Larsen, K. H. (1997). Generalization: The hidden agenda of learning. IEEE Signal Processing Magazine, 14, 43-45.
12. MacKay, D. (2003). Information theory, inference, and learning algorithms. Cambridge: Cambridge University Press.
13. Moon, Y., Rajagopalan, B., & Lall, U. (1995). Estimation of mutual information using kernel density estimators. Physical Review E, 52, 2318-2321.
14. Obata, T., Liu, T., Miller, K., Luh, W., Wong, E., Frank, L., et al. (2004). Discrepancies between bold and flow dynamics in primary and supplementary motor areas: Application of the balloon model to the interpretation of bold transients. NeuroImage, 21, 144-153.
15. Riera, J., Watanabe, J., Iwata, K., Miura, N., Aubert, E., Ozaki, T., et al. (2004). A state-space model of the hemodynamic approach: Nonlinear filtering of bold signals. NeuroImage, 21, 547-567.
16. Spiegelhalter, D., Best, N., Carlin, B., & van der Linde, A. (2002). Bayesian measures of model complexity and fit. Journal of the Royal Statistical Society, Series B, 64, 583-640.
17. Strother, S. C., Anderson, J., & Hansen, L. K. (2002). The quantitative evaluation of functional neuroimaging experiments: The NPAIRS data analysis framework. NeuroImage, 15, 4, 747-771.
18. Zheng, Y., Martindale, J., Johnston, D., Jones, M., Berwick, J., & Mayhew, J. (2002). A model of the hemodynamic response and oxygen delivery to brain. NeuroImage, 16, 617-637.