Are fMRI event-related response constant in time? A model selection answer

NeuroImage

Volumn 31, Issue 3, 2006, Pages 1169-1176

  Donnet, Sophie ^a   Lavielle, Marc ^a   Poline, Jean Baptiste ^b,c  

^a UNIVERSITÉ PARIS SUD   (France)

^b DIF   (France)

^c IFR 49   (France)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; ARTICLE; BRAIN REGION; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HEMODYNAMICS; HUMAN; HYPOTHESIS; INFORMATION; NEUROIMAGING; PARAMETER; PRIORITY JOURNAL; STATISTICAL MODEL; THEORY;

ALGORITHMS; AROUSAL; ATTENTION; BRAIN MAPPING; CEREBRAL CORTEX; DOMINANCE, CEREBRAL; EVOKED POTENTIALS; HEMODYNAMIC PROCESSES; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; LIKELIHOOD FUNCTIONS; MAGNETIC RESONANCE IMAGING; MODELS, STATISTICAL; PATTERN RECOGNITION, VISUAL; PSYCHOMOTOR PERFORMANCE; READING; SOFTWARE; SPEECH PERCEPTION;

EID: 33744908817     PISSN: 10538119     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2005.08.068     Document Type: Article

References (21)

1. Aguirre G.K., Zarahn E., and D'Esposito M. The variability of humain bold hemodynamic responses. NeuroImage 7 (1998) 574
2. Arieli A., Sterkin A., Grinvald A., and Aertsen A. Dynamics of ongoing activity: explanation of the large variability in evoked cortical responses. Science 273 5283 (1996) 1868-1871
3. Aubert A., and Costalat R. A model of the coupling between brain electrical activity, metabolism, and hemodynamics: application to the interpretation of functional neuroimaging. NeuroImage 17 (2002) 1162-1181
4. Buchel C., Holmes A.P., Rees G., and Friston K.J. Characterizing stimulus-response functions using nonlinear regressors in parametric fMRI experiments. NeuroImage 8 2 (1998) 140-148 (Aug.)
5. Buxton R., and Frank L. A model for the coupling between cerebral blood flow and oxygen metabolism during neural stimulation. J. Cereb. Blood Flow Metab. 17 1 (1997) 64-72
6. Ciuciu P., Poline J.-B., Marrelec G., Idier J., Pallier C., and Benali H. Robust estimation of the hemodynamic response function in asynchronous multitasks multiblocks event-related fMRI paradigms. Revision to IEEE Transactions on Medical Imaging (2002), SHFJ/CEA, Orsay, France
7. Ciuciu P., Poline J.-B., Marrelec G., Idier J., Pallier C., and Benali H. Unsupervised robust non-parametric estimation of the hemodynamic response function for any fMRI experiment. IEEE Trans. Med. Imag. 22 10 (2003) 1235-1251
8. Donnet S., Lavielle M., Ciuciu P., and Poline J.-B. Selection of temporal models for event-related fMRI. Proceedings 2th International Symposium on Biomedical Imaging (2004) 992-995 (Arlington, VA)
9. Duann J., Jung T., Kuo W., Yeh T., Makeig S., JC H., and TJ S. Single-trial variability in event-related bold signals. NeuroImage 15 4 (2002) 823-835
10. Friston K.J., Mechelli A., Turner R., and Price C.J. Nonlinear responses in fMRI: the balloon model, Volterra kernels, and other hemodynamics. NeuroImage 12 (2000) 466-477
11. Golanov E.V., Yamamoto S., and Reis D.J. Spontaneous waves of cerebral blood flow associated with pattern of electrocortical activity. Am. Physiol. Soc. (1994) 204-214
12. Goutte C., Nielsen F.A., and Hansen L.K. Modeling the haemodynamic response in fMRI using smooth filters. IEEE Trans. Med. Imag. 19 12 (2000) 1188-1201
13. Leopold D.A., Murayama Y., and Logothetis N.K. Very slow activity fluctuations in monkey visual cortex: implications for functional brain imaging. Cereb. Cortex 13 4 (2003) 422-433
14. Lu Y., Jiang T., and Zang Y. Single-trial variable model for event-related fMRI data analysis. IEEE Trans. Med. Imag. 24 2 (2005) 236-245
15. Makni S., Ciuciu P., Idier J., and Poline J.-B. Semi-blind deconvolution of neural impulse response in fMRI using a Gibbs sampling method. Proc. th Proc. IEEE ICASSP, volume V, IEEE Sig Proc Society, Montreal, Quebec, Canada (2004) 601-604 (May)
16. Marrelec, G., Benali, H., Ciuciu, P., and Poline, J.-B., 2001. Bayesian estimation of the hemodynamic response function in functional MRI. In: Fry, R., (Ed.), Bayesian Inference and Maximum Entropy Methods, Baltimore, MD. MaxEnt Workshops.
17. Ogawa S., Lee T., Kay A., and Tank D. Brain magnetic resonance imaging with contrast dependent on blood oxygenation. Proc. Natl. Acad. Sci. U. S. A. 87 24 (1990) 9868-9872
18. Riera J., Watanabe J., Kazuki I., Naoki M., Aubert E., Ozaki T., and Kawashima R. A state-space model of the hemodynamic approach: nonlinear filtering of BOLD signal. NeuroImage 21 (2004) 547-567
19. Van der Vaart A. Asymptotic Statistics (1998), Springer-Verlag
20. Woolrich M., Jenkinson M., Brady J., and Smith S. Fully Bayesian spatio-temporal modelling of fMRI data. IEEE Trans. Med. Imag. 23 2 (2004) 213-231
21. Woolrich M., Behrens T., Beckmann C., and Smith S. Mixture models with adpative spatial regularization for segmentation with an application to fMRI data. IEEE Trans. Med. Imag. 24 1 (2005) 1-11