fMRI activation maps based on the NN-ARx model

[1]  Martin Petri,et al.  To Smooth or Not to Smooth - the Impact of Grants and Remittances on the Equilibrium Real Exchange Rate in Jordan , 2006, SSRN Electronic Journal.

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

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

[4]  Silke Dodel,et al.  Functional connectivity: studying nonlinear, delayed interactions between BOLD signals , 2003, NeuroImage.

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

[6]  Iwao Kanno,et al.  Regional distribution of human cerebral vascular mean transit time measured by positron emission tomography , 2003, NeuroImage.

[7]  Karl J. Friston,et al.  Posterior probability maps and SPMs , 2003, NeuroImage.

[8]  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.

[9]  Xianhong Xie,et al.  Optimal spline smoothing of fMRI time series by generalized cross-validation , 2003, NeuroImage.

[10]  Stephen M. Smith,et al.  On Bias in the Estimation of Autocorrelations for fMRI Voxel Time-Series Analysis , 2003, NeuroImage.

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

[12]  Yasumasa Matsuda,et al.  A Spatio-temporal Regression Model for the Analysis of Functional MRI Data , 2002, NeuroImage.

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

[14]  C. Iadecola,et al.  Intrinsic signals and functional brain mapping: caution, blood vessels at work. , 2002, Cerebral cortex.

[15]  N. Harel,et al.  Blood capillary distribution correlates with hemodynamic-based functional imaging in cerebral cortex. , 2002, Cerebral cortex.

[16]  Stephen M. Smith,et al.  Temporal Autocorrelation in Univariate Linear Modeling of FMRI Data , 2001, NeuroImage.

[17]  Scott A. Huettel,et al.  Regional Differences in the Refractory Period of the Hemodynamic Response: An Event-Related fMRI Study , 2001, NeuroImage.

[18]  P. Bandettini,et al.  Spatial Heterogeneity of the Nonlinear Dynamics in the FMRI BOLD Response , 2001, NeuroImage.

[19]  Emery N. Brown,et al.  Locally Regularized Spatiotemporal Modeling and Model Comparison for Functional MRI , 2001, NeuroImage.

[20]  Lars Kai Hansen,et al.  Modeling the hemodynamic response in fMRI using smooth FIR filters , 2000, IEEE Transactions on Medical Imaging.

[21]  A M Dale,et al.  Estimation and detection of event‐related fMRI signals with temporally correlated noise: A statistically efficient and unbiased approach , 2000, Human brain mapping.

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

[23]  Karl J. Friston,et al.  To Smooth or Not to Smooth? Bias and Efficiency in fMRI Time-Series Analysis , 2000, NeuroImage.

[24]  Alan C. Evans,et al.  A general statistical analysis for fMRI data , 2000, NeuroImage.

[25]  G. McCarthy,et al.  Evidence for a Refractory Period in the Hemodynamic Response to Visual Stimuli as Measured by MRI , 2000, NeuroImage.

[26]  Karl J. Friston,et al.  A Study of Analysis Parameters That Influence the Sensitivity of Event-Related fMRI Analyses , 2000, NeuroImage.

[27]  F Kruggel,et al.  Modeling the hemodynamic response in single‐trial functional MRI experiments , 1999, Magnetic resonance in medicine.

[28]  P. Magistretti,et al.  Cellular mechanisms of brain energy metabolism and their relevance to functional brain imaging. , 1999, Philosophical transactions of the Royal Society of London. Series B, Biological sciences.

[29]  O Josephs,et al.  Event-related functional magnetic resonance imaging: modelling, inference and optimization. , 1999, Philosophical transactions of the Royal Society of London. Series B, Biological sciences.

[30]  G. Berns,et al.  Continuous Functional Magnetic Resonance Imaging Reveals Dynamic Nonlinearities of “Dose-Response” Curves for Finger Opposition , 1999, The Journal of Neuroscience.

[31]  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.

[32]  Richard A. Davis,et al.  Introduction to time series and forecasting , 1998 .

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

[34]  R. Turner,et al.  Event-Related fMRI: Characterizing Differential Responses , 1998, NeuroImage.

[35]  Karl J. Friston,et al.  Nonlinear event‐related responses in fMRI , 1998, Magnetic resonance in medicine.

[36]  Karl J. Friston,et al.  Characterizing the Response of PET and fMRI Data Using Multivariate Linear Models , 1997, NeuroImage.

[37]  E. Bullmore,et al.  Statistical methods of estimation and inference for functional MR image analysis , 1996, Magnetic resonance in medicine.

[38]  Karl J. Friston,et al.  Analysis of fMRI Time-Series Revisited—Again , 1995, NeuroImage.

[39]  Clifford M. Hurvich,et al.  Regression and time series model selection in small samples , 1989 .

[40]  T. Ozaki,et al.  Modelling nonlinear random vibrations using an amplitude-dependent autoregressive time series model , 1981 .

[41]  A M Dale,et al.  Optimal experimental design for event‐related fMRI , 1999, Human brain mapping.

[42]  P. J. Jennings,et al.  Time series analysis in the time domain and resampling methods for studies of functional magnetic resonance brain imaging , 1997, Human brain mapping.

[43]  Scott L. Zeger,et al.  Non‐linear Fourier Time Series Analysis for Human Brain Mapping by Functional Magnetic Resonance Imaging , 1997 .

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

[45]  J. Rajapakse,et al.  Human Brain Mapping 6:283–300(1998) � Modeling Hemodynamic Response for Analysis of Functional MRI Time-Series , 2022 .