Nonlinear analysis of the BOLD signal

Eurasip Journal on Advances in Signal Processing

Volumn 2009, Issue , 2009, Pages

  Shi, Pengcheng ^b,d   Hu, Zhenghui ^a,b   Zhao, Xiaohu ^c   Liu, Huafeng ^a  

^a ZHEJIANG UNIVERSITY   (China)

^b Rochester Institute of Technology   (United States)

^c TONGJI HOSPITAL OF TONGJI UNIVERSITY   (China)

^d UNIVERSITY OF ROCHESTER MEDICAL CENTER   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DATA ASSIMILATION; FILTERING ALGORITHM; NON-LINEARITY; NONLINEAR DATA; NONLINEAR ESTIMATION METHODS; NONLINEAR FILTERING ALGORITHM; PHYSIOLOGICAL STATE; PHYSIOLOGICAL SYSTEMS; SIMULTANEOUS ESTIMATION;

DATA PROCESSING; HYDRODYNAMICS; LINEARIZATION; NONLINEAR FILTERING; PHYSIOLOGICAL MODELS;

NONLINEAR ANALYSIS;

EID: 68949083151     PISSN: 16876172     EISSN: 16876180     Source Type: Journal    
DOI: 10.1155/2009/215409     Document Type: Article

References (26)

1. Friston K. J., Holmes A. P., Worsley K. J., Poline J. B., Williams C. R., Frackowiak R. S. J., Analysis of functional MRI time-series Human Brain Mapping 1994 1 153 171
2. Rajapakse J. C., Kruggel F., Maisog J. M., von Cramon D. Y., Modeling hemodynamic response for analysis of functional MRI time-series Human Brain Mapping 1998 6 4 283 300
3. Friston K. J., Fletcher P., Josephs O., Holmes A. P., Rugg M. D., Turner R., Event-related fMRI: characterising differential responses NeuroImage 1998 7 30 40
4. Ciuciu P., Poline J.-B., Marrelec G., Idier J., Pallier C., Benali H., Unsupervised robust nonparametric estimation of the hemodynamic response function for any fMRI experiment IEEE Transactions on Medical Imaging 2003 22 10 1235 1251
5. Lindquist M., Wager T., Modeling the hemodynamic response function using inverse logit functions Proceedings of Human Brain Mapping Annual Meeting 2005
6. Glover G. H., Deconvolution of impulse response in event-related BOLD fMRI NeuroImage 1999 9 4 416 429
7. Purdon P. L., Solo V., Weisskoff R. M., Brown E. N., Locally regularized spatiotemporal modeling and model comparison for functional MRI NeuroImage 2001 14 4 912 923
8. Obata T., Liu T. T., Miller K. L., Luh W.-M., Wong E. C., Frank L. R., Buxton R. B., Discrepancies between BOLD and flow dynamics in primary and supplementary motor areas: application of the balloon model to the interpretation of BOLD transients NeuroImage 2004 21 1 144 153
9. Buxton R. B., Wong E. C., Frank L. R., Dynamics of blood flow and oxygenation changes during brain activation: the balloon model Magnetic Resonance in Medicine 1998 39 6 855 864
10. Friston K. J., Mechelli A., Turner R., Price C. J., Nonlinear responses in fMRI: the balloon model, volterra kernels, and other hemodynamics NeuroImage 2000 12 4 466 477
11. Friston K. J., Bayesian estimation of dynamical systems: an application to fMRI NeuroImage 2002 16 2 513 530
12. Deneux T., Faugeras O., Using nonlinear models in fMRI data analysis: model selection and activation detection NeuroImage 2006 32 4 1669 1689
13. Riera J. J., Watanabe J., Kazuki I., A state-space model of the hemodynamic approach: nonlinear filtering of BOLD signals NeuroImage 2004 21 2 547 567
14. Johnston L. A., Duff E., Egan G. F., Partical filtering for nonlinear BOLD signal analysis Proceedings of the 9th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 06) October 2006 Copenhagen, Denmark 292 299
15. Johnston L. A., Duff E., Mareels I., Egan G. F., Nonlinear estimation of the BOLD signal NeuroImage 2008 40 2 504 514
16. Arulampalam M. S., Maskell S., Gordon N., Clapp T., A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking IEEE Transactions on Signal Processing 2002 50 2 174 188
17. Friston K. J., Trujillo-Barreto N., Daunizeau J., DEM: a variational treatment of dynamic systems NeuroImage 2008 41 3 849 885
18. Friston K. J., Variational filtering NeuroImage 2008 41 3 747 766
19. Hu Z. H., Shi P. C., Nonlinear anaysis of BOLD signal: biophysical modeling, physiological states, and functional activation Proceedings of the International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 07) 2007 734 741
20. Zheng Y., Martindale J., Johnston D., Jones M., Berwick J., Mayhew J., A model of the hemodynamic response and oxygen delivery to brain NeuroImage 2002 16 3, part 1 617 637
21. Buxton R. B., Uluda K., Dubowitz D. J., Liu T. T., Modeling the hemodynamic response to brain activation NeuroImage 2004 23 supplement 1 S220 S233
22. Zheng Y., Johnston D., Berwick J., Chen D., Billings S., Mayhew J., A three-compartment model of the hemodynamic response and oxygen delivery to brain NeuroImage 2005 28 4 925 939
23. Hu Z. H., Shi P. C., Sensitivity analysis for biomedical model. processing
24. Julier S. J., Uhlmann J. K., Reduced sigma point filters for the propagation of means and covariances through nonlinear transformations Proceedings of the American Control Conference (ACC 02) May 2002 Anchorage, Alaska, USA 887 892
25. Julier S. J., Uhlmann J. K., Unscented filtering and nonlinear estimation Proceedings of the IEEE 2004 92 3 401 422
26. van der Merwe R., Wan E. A., The square-root unscented Kalman filter for state and parameter-estimation 6 Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 01) May 2001 Salt Lake, Utah, USA 3461 3464