Event-related functional MRI: Past, present, and future, Proc. Natl. Acad ,
DOI : 10.1073/pnas.95.3.773
Brain magnetic resonance imaging with contrast dependent on blood oxygenation., Proc. Natl. Acad. Sci. USA, pp.9868-9872, 1990. ,
DOI : 10.1073/pnas.87.24.9868
Processing strategies for time-course data sets in functional mri of the human brain, Magnetic Resonance in Medicine, vol.2, issue.2, pp.161-173, 1993. ,
DOI : 10.1002/mrm.1910300204
Functional-Anatomic Correlates of Object Priming in Humans Revealed by Rapid Presentation Event-Related fMRI, Neuron, vol.20, issue.2, pp.285-296, 1998. ,
DOI : 10.1016/S0896-6273(00)80456-0
A Model for the Coupling Between Cerebral Blood Flow and Oxygen Metabolism During Neural Stimulation, Journal of Cerebral Blood Flow & Metabolism, vol.10, issue.5, pp.64-72, 1997. ,
DOI : 10.1097/00004647-199701000-00009
Dynamics of blood flow and oxygenation changes during brain activation: The balloon model, Magnetic Resonance in Medicine, vol.77, issue.6, pp.855-864, 1998. ,
DOI : 10.1002/mrm.1910390602
Assessment of Hemodynamic Response during Focal Neural Activity in Human Using Bolus Tracking, Arterial Spin Labeling and BOLD Techniques, NeuroImage, vol.12, issue.4, pp.442-451, 2000. ,
DOI : 10.1006/nimg.2000.0634
Neurophysiological investigation of the basis of the fMRI signal, Nature, vol.412, issue.6843, pp.150-157, 2001. ,
DOI : 10.1038/35084005
Statistical parametric mapping, Functional Neuroimaging : Technical Foundations, pp.79-93, 1994. ,
Linear systems analysis of functional magnetic resonance imaging in human V1, J. Neurosci, vol.16, pp.4207-4221, 1996. ,
Empirical and substantive models, the Bayesian paradigm, and meta-analysis in functional brain imaging, Human Brain Mapping, vol.1, issue.4, pp.259-263, 1997. ,
DOI : 10.1002/(SICI)1097-0193(1997)5:4<259::AID-HBM10>3.0.CO;2-9
Parametric Analysis of fMRI Data Using Linear Systems Methods, NeuroImage, vol.6, issue.2, pp.93-103, 1997. ,
DOI : 10.1006/nimg.1997.0278
Modeling hemodynamic response for analysis of functional MRI time-series, Human Brain Mapping, vol.2, issue.4, pp.283-300, 1998. ,
DOI : 10.1002/(SICI)1097-0193(1998)6:4<283::AID-HBM7>3.0.CO;2-#
Deconvolution of Impulse Response in Event-Related BOLD fMRI1, NeuroImage, vol.9, issue.4, pp.416-429, 1999. ,
DOI : 10.1006/nimg.1998.0419
Modeling the hemodynamic response in fMRI using smooth FIR filters, IEEE Transactions on Medical Imaging, vol.19, issue.12, pp.1188-1201, 2000. ,
DOI : 10.1109/42.897811
Bayesian Modeling of the Hemodynamic Response Function in BOLD fMRI, NeuroImage, vol.14, issue.1, pp.140-148, 2001. ,
DOI : 10.1006/nimg.2001.0795
Comparison of two convolution models for fMRI time series, Neuroimage, vol.5, p.473, 1997. ,
Bayesian estimation of the hemodynamic response function in functional MRI, AIP Conference Proceedings, 2001. ,
DOI : 10.1063/1.1477050
URL : https://hal.archives-ouvertes.fr/cea-00333749
Statistical methods of estimation and inference for functional MR image analysis, Magnetic Resonance in Medicine, vol.13, issue.2, pp.261-277, 1996. ,
DOI : 10.1002/mrm.1910350219
Detection versus Estimation in Event-Related fMRI: Choosing the Optimal Stimulus Timing, NeuroImage, vol.15, issue.1, pp.252-264, 2002. ,
DOI : 10.1006/nimg.2001.0964
A General Statistical Analysis for fMRI Data, NeuroImage, vol.15, issue.1, pp.1-15, 2002. ,
DOI : 10.1006/nimg.2001.0933
Empirical Analyses of BOLD fMRI Statistics, NeuroImage, vol.5, issue.3, pp.179-197, 1997. ,
DOI : 10.1006/nimg.1997.0263
Unsupervised deconvolution of sparse spike trains using stochastic approximation, IEEE Transactions on Signal Processing, vol.44, issue.12, pp.2988-2998, 1996. ,
DOI : 10.1109/78.553473
ML parameter estimation for Markov random fields with applications to Bayesian tomography, IEEE Transactions on Image Processing, vol.7, issue.7, pp.1029-1044, 1998. ,
DOI : 10.1109/83.701163
Maximum likelihood from incomplete data via the EM algorithm, J. R. Statist. Soc. B, vol.39, pp.1-38, 1977. ,
Unsupervised image segmentation using a telegraph parameterization of Pickard random fields Methodological aspects and some applications, ser. Lecture notes in Statistics, Spatial statistics, pp.115-140, 2001. ,
Maximum likelihood estimation via the ECM algorithm: A general framework, Biometrika, vol.80, issue.2, pp.267-278, 1993. ,
DOI : 10.1093/biomet/80.2.267
On the Convergence Properties of the EM Algorithm, The Annals of Statistics, vol.11, issue.1, pp.95-103, 1983. ,
DOI : 10.1214/aos/1176346060
Detection Power, Estimation Efficiency, and Predictability in Event-Related fMRI, NeuroImage, vol.13, issue.4, pp.759-773, 2001. ,
DOI : 10.1006/nimg.2000.0728
Optimal experimental design for event-related fMRI, Human Brain Mapping, vol.6, issue.2-3, pp.109-114, 1999. ,
DOI : 10.1002/(SICI)1097-0193(1999)8:2/3<109::AID-HBM7>3.0.CO;2-W
Optimization of experimental design in fMRI: a general framework using a genetic algorithm, NeuroImage, vol.18, issue.2, pp.293-309, 1989. ,
DOI : 10.1016/S1053-8119(02)00046-0
Robust Bayesian estimation of the hemodynamic response function in event-related BOLD fMRI using basic physiological information, Human Brain Mapping, vol.2, issue.1, pp.1-17, 2003. ,
DOI : 10.1002/hbm.10100
URL : https://hal.archives-ouvertes.fr/cea-00333748
Multivariate Model Specification for fMRI Data, NeuroImage, vol.16, issue.4, pp.1068-1083, 2002. ,
DOI : 10.1006/nimg.2002.1094
URL : https://hal.archives-ouvertes.fr/inria-00615631
Spatio-temporal fMRI analysis using Markov random fields, IEEE Transactions on Medical Imaging, vol.17, issue.6, pp.1028-1039, 1998. ,
DOI : 10.1109/42.746636
Bayesian Spatiotemporal Inference in Functional Magnetic Resonance Imaging, Biometrics, vol.22, issue.2, 2001. ,
DOI : 10.1111/j.0006-341X.2001.00554.x