Introduction Experimental design and Statistical Parametric Mapping

[1]  Karl J. Friston,et al.  Modelling Geometric Deformations in Epi Time Series , 2022 .

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

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

[4]  Karl J. Friston,et al.  Attentional modulation of effective connectivity from V2 to V5/MT in humans. , 2000, Proceedings of the National Academy of Sciences of the United States of America.

[5]  Karl J. Friston,et al.  Voxel-Based Morphometry—The Methods , 2000, NeuroImage.

[6]  R. Turner,et al.  Characterization and Correction of Interpolation Effects in the Realignment of fMRI Time Series , 2000, NeuroImage.

[7]  Karl J. Friston,et al.  Robust Smoothness Estimation in Statistical Parametric Maps Using Standardized Residuals from the General Linear Model , 1999, NeuroImage.

[8]  Karl J. Friston,et al.  Multisubject fMRI Studies and Conjunction Analyses , 1999, NeuroImage.

[9]  J. Ashburner,et al.  Nonlinear spatial normalization using basis functions , 1999, Human brain mapping.

[10]  A M Dale,et al.  Randomized event‐related experimental designs allow for extremely rapid presentation rates using functional MRI , 1998, Neuroreport.

[11]  J. Haxby,et al.  fMRI study of face perception and memory using random stimulus sequences. , 1998, Journal of neurophysiology.

[12]  M. D’Esposito,et al.  A critique of the use of the Kolmogorov‐Smirnov (KS) statistic for the analysis of BOLD fMRI data , 1998, Magnetic resonance in medicine.

[13]  S Makeig,et al.  Spatially independent activity patterns in functional MRI data during the stroop color-naming task. , 1998, Proceedings of the National Academy of Sciences of the United States of America.

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

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

[16]  R. Weisskoff,et al.  Effect of temporal autocorrelation due to physiological noise and stimulus paradigm on voxel‐level false‐positive rates in fMRI , 1998, Human brain mapping.

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

[18]  R Baumgartner,et al.  Fuzzy clustering of gradient‐echo functional MRI in the human visual cortex. Part I: Reproducibility , 1997, Journal of magnetic resonance imaging : JMRI.

[19]  Karl J. Friston,et al.  Incorporating Prior Knowledge into Image Registration , 1997, NeuroImage.

[20]  Karl J. Friston,et al.  Psychophysiological and Modulatory Interactions in Neuroimaging , 1997, NeuroImage.

[21]  Karl J. Friston,et al.  Cognitive Conjunction: A New Approach to Brain Activation Experiments , 1997, NeuroImage.

[22]  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.

[23]  C. Mountford Non-linear Fourier time series analysis for human brain mapping by functional magnetic resonance imaging - Discussion , 1997 .

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

[25]  A. Dale,et al.  Selective averaging of rapidly presented individual trials using fMRI , 1997, Human brain mapping.

[26]  Karl J. Friston Testing for anatomically specified regional effects , 1997, Human brain mapping.

[27]  S E Petersen,et al.  Detection of cortical activation during averaged single trials of a cognitive task using functional magnetic resonance imaging. , 1996, Proceedings of the National Academy of Sciences of the United States of America.

[28]  Karl J. Friston,et al.  Detecting Activations in PET and fMRI: Levels of Inference and Power , 1996, NeuroImage.

[29]  Karl J. Friston,et al.  The Trouble with Cognitive Subtraction , 1996, NeuroImage.

[30]  Karl J. Friston,et al.  Nonlinear Regression in Parametric Activation Studies , 1996, NeuroImage.

[31]  D. Heeger,et al.  Linear Systems Analysis of Functional Magnetic Resonance Imaging in Human V1 , 1996, The Journal of Neuroscience.

[32]  Karl J. Friston,et al.  Movement‐Related effects in fMRI time‐series , 1996, Magnetic resonance in medicine.

[33]  Karl J. Friston,et al.  Functional topography: multidimensional scaling and functional connectivity in the brain. , 1996, Cerebral cortex.

[34]  Karl J. Friston,et al.  A multivariate analysis of PET activation studies , 1996, Human brain mapping.

[35]  Karl J. Friston,et al.  A unified statistical approach for determining significant signals in images of cerebral activation , 1996, Human brain mapping.

[36]  B. Biswal,et al.  Functional connectivity in the motor cortex of resting human brain using echo‐planar mri , 1995, Magnetic resonance in medicine.

[37]  P. Jezzard,et al.  Correction for geometric distortion in echo planar images from B0 field variations , 1995, Magnetic resonance in medicine.

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

[39]  Karl J. Friston,et al.  Spatial registration and normalization of images , 1995 .

[40]  Karl J. Friston,et al.  Statistical parametric maps in functional imaging: A general linear approach , 1994 .

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

[42]  Karl J. Friston,et al.  Assessing the significance of focal activations using their spatial extent , 1994, Human brain mapping.

[43]  E C Wong,et al.  Processing strategies for time‐course data sets in functional mri of the human brain , 1993, Magnetic resonance in medicine.

[44]  Karl J. Friston,et al.  Functional Connectivity: The Principal-Component Analysis of Large (PET) Data Sets , 1993, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.

[45]  Alan C. Evans,et al.  A Three-Dimensional Statistical Analysis for CBF Activation Studies in Human Brain , 1992, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.

[46]  Karl J. Friston,et al.  Functional anatomy of human procedural learning determined with regional cerebral blood flow and PET , 1992, The Journal of neuroscience : the official journal of the Society for Neuroscience.

[47]  Karl J. Friston,et al.  Motor practice and neurophysiological adaptation in the cerebellum: a positron tomography study , 1992, Proceedings of the Royal Society of London. Series B: Biological Sciences.

[48]  Karl J. Friston,et al.  Cerebral Blood Flow and Mental Processes in Schizophrenia , 1992, Journal of the Royal Society of Medicine.

[49]  Karl J. Friston,et al.  Comparing Functional (PET) Images: The Assessment of Significant Change , 1991, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.

[50]  C. Gilbert,et al.  Synaptic physiology of horizontal connections in the cat's visual cortex , 1991, The Journal of neuroscience : the official journal of the Society for Neuroscience.

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

[52]  S. Zeki Vision: The motion pathways of the visual cortex , 1991 .

[53]  J. Bullier,et al.  Visual activity in area V2 during reversible inactivation of area 17 in the macaque monkey. , 1989, Journal of neurophysiology.

[54]  Karl J. Friston,et al.  The colour centre in the cerebral cortex of man , 1989, Nature.

[55]  D. Perkel,et al.  Simultaneously Recorded Trains of Action Potentials: Analysis and Functional Interpretation , 1969, Science.