Biophysical models of fMRI responses

[1]  Karl J. Friston,et al.  Comparing dynamic causal models , 2004, NeuroImage.

[2]  Tohru Ozaki,et al.  Recursive penalized least squares solution for dynamical inverse problems of EEG generation , 2004, Human brain mapping.

[3]  Mark D'Esposito,et al.  Variation of BOLD hemodynamic responses across subjects and brain regions and their effects on statistical analyses , 2004, NeuroImage.

[4]  Nikos K Logothetis,et al.  Interpreting the BOLD signal. , 2004, Annual review of physiology.

[5]  Naoki Miura,et al.  A state-space model of the hemodynamic approach: nonlinear filtering of BOLD signals , 2004, NeuroImage.

[6]  Thomas T. Liu,et al.  Discrepancies between BOLD and flow dynamics in primary and supplementary motor areas: application of the balloon model to the interpretation of BOLD transients , 2004, NeuroImage.

[7]  Rainer Goebel,et al.  Investigating directed cortical interactions in time-resolved fMRI data using vector autoregressive modeling and Granger causality mapping. , 2003, Magnetic resonance imaging.

[8]  Karl J. Friston,et al.  A Dynamic Causal Modeling Study on Category Effects: BottomUp or TopDown Mediation? , 2003, Journal of Cognitive Neuroscience.

[9]  E. Bullmore,et al.  Wavelets and statistical analysis of functional magnetic resonance images of the human brain , 2003, Statistical methods in medical research.

[10]  Jean-Baptiste Poline,et al.  Unsupervised robust nonparametric estimation of the hemodynamic response function for any fMRI experiment , 2003, IEEE Transactions on Medical Imaging.

[11]  Karl J. Friston,et al.  Dynamic causal modelling , 2003, NeuroImage.

[12]  Karl J. Friston,et al.  Multivariate Autoregressive Modelling of fMRI time series , 2003 .

[13]  Ying Zheng,et al.  The Hemodynamic Impulse Response to a Single Neural Event , 2003, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.

[14]  H. Benali,et al.  Robust Bayesian estimation of the hemodynamic response function in event‐related BOLD fMRI using basic physiological information , 2003, Human brain mapping.

[15]  R. Freeman,et al.  Single-Neuron Activity and Tissue Oxygenation in the Cerebral Cortex , 2003, Science.

[16]  J. C. Jimenez,et al.  Local linearization filters for non-linear continuous-discrete state space models with multiplicative noise , 2003 .

[17]  Rna Henson,et al.  Analysis of fMRI time series: Linear Time-Invariant models, event-related fMRI and optimal experimental design , 2003 .

[18]  S. Roberts,et al.  Bayesian multivariate autoregressive models with structured priors , 2002 .

[19]  Ying Zheng,et al.  A Model of the Hemodynamic Response and Oxygen Delivery to Brain , 2002, NeuroImage.

[20]  Karl J. Friston,et al.  Bayesian Estimation of Dynamical Systems: An Application to fMRI , 2002, NeuroImage.

[21]  N. Logothetis,et al.  Neurophysiological investigation of the basis of the fMRI signal , 2001, Nature.

[22]  Antígona Martínez,et al.  Nonlinear temporal dynamics of the cerebral blood flow response , 2001, Human brain mapping.

[23]  Karl J. Friston,et al.  Nonlinear Responses in fMRI: The Balloon Model, Volterra Kernels, and Other Hemodynamics , 2000, NeuroImage.

[24]  G. Crelier,et al.  Linear coupling between cerebral blood flow and oxygen consumption in activated human cortex. , 1999, Proceedings of the National Academy of Sciences of the United States of America.

[25]  B. Rosen,et al.  Evidence of a Cerebrovascular Postarteriole Windkessel with Delayed Compliance , 1999, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.

[26]  C. Mathiesen,et al.  Modification of activity‐dependent increases of cerebral blood flow by excitatory synaptic activity and spikes in rat cerebellar cortex , 1998, The Journal of physiology.

[27]  R. Buxton,et al.  Dynamics of blood flow and oxygenation changes during brain activation: The balloon model , 1998, Magnetic resonance in medicine.

[28]  C. Büchel,et al.  Modulation of connectivity in visual pathways by attention: cortical interactions evaluated with structural equation modelling and fMRI. , 1997, Cerebral cortex.

[29]  Karl J. Friston,et al.  Human Brain Function , 1997 .

[30]  R. Buxton,et al.  A Model for the Coupling between Cerebral Blood Flow and Oxygen Metabolism during Neural Stimulation , 1997, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.

[31]  R. Turner,et al.  Characterizing Evoked Hemodynamics with fMRI , 1995, NeuroImage.

[32]  F. Gonzalez-Lima,et al.  Structural equation modeling and its application to network analysis in functional brain imaging , 1994 .

[33]  Karl J. Friston,et al.  Analysis of functional MRI time‐series , 1994, Human Brain Mapping.

[34]  H Preißl,et al.  Dynamics of activity and connectivity in physiological neuronal networks , 1991 .

[35]  C. Granger Investigating causal relations by econometric models and cross-spectral methods , 1969 .