Statistical parametric mapping (SPM)
暂无分享,去创建一个
[1] Karl J. Friston,et al. Modelling Geometric Deformations in Epi Time Series , 2022 .
[2] F. Gonzalez-Lima,et al. Structural equation modeling and its application to network analysis in functional brain imaging , 1994 .
[3] P. Bandettini,et al. Synthetic images by subspace transforms. I. Principal components images and related filters. , 1994, Medical physics.
[4] B. Biswal,et al. Functional connectivity in the motor cortex of resting human brain using echo‐planar mri , 1995, Magnetic resonance in medicine.
[5] Karl J. Friston,et al. Nonlinear Regression in Parametric Activation Studies , 1996, NeuroImage.
[6] Karl J. Friston,et al. Robust Smoothness Estimation in Statistical Parametric Maps Using Standardized Residuals from the General Linear Model , 1999, NeuroImage.
[7] D. Perkel,et al. Simultaneously Recorded Trains of Action Potentials: Analysis and Functional Interpretation , 1969, Science.
[8] Karl J. Friston,et al. Movement‐Related effects in fMRI time‐series , 1996, Magnetic resonance in medicine.
[9] R. Turner,et al. Characterization and Correction of Interpolation Effects in the Realignment of fMRI Time Series , 2000, NeuroImage.
[10] Karl J. Friston,et al. The Trouble with Cognitive Subtraction , 1996, NeuroImage.
[11] Karl J. Friston,et al. To Smooth or Not to Smooth? Bias and Efficiency in fMRI Time-Series Analysis , 2000, NeuroImage.
[12] A. Dale,et al. Selective averaging of rapidly presented individual trials using fMRI , 1997, Human brain mapping.
[13] M. D’Esposito,et al. Empirical Analyses of BOLD fMRI Statistics , 1997, NeuroImage.
[14] D. Heeger,et al. Linear Systems Analysis of Functional Magnetic Resonance Imaging in Human V1 , 1996, The Journal of Neuroscience.
[15] Karl J. Friston,et al. Regional response differences within the human auditory cortex when listening to words , 1992, Neuroscience Letters.
[16] Karl J. Friston,et al. Statistical parametric maps in functional imaging: A general linear approach , 1994 .
[17] J. Haxby,et al. fMRI study of face perception and memory using random stimulus sequences. , 1998, Journal of neurophysiology.
[18] R. Turner,et al. Characterizing Evoked Hemodynamics with fMRI , 1995, NeuroImage.
[19] Lars Kai Hansen,et al. Visualization of neural networks using saliency maps , 1995, Proceedings of ICNN'95 - International Conference on Neural Networks.
[20] 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.
[21] R. Adler,et al. The Geometry of Random Fields , 1982 .
[22] M. Posner,et al. Positron Emission Tomographic Studies of the Processing of Singe Words , 1989, Journal of Cognitive Neuroscience.
[23] 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.
[24] Karl J. Friston,et al. Multisubject fMRI Studies and Conjunction Analyses , 1999, NeuroImage.
[25] D. Noll,et al. Nonlinear Aspects of the BOLD Response in Functional MRI , 1998, NeuroImage.
[26] 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.
[27] Karl J. Friston,et al. Psychophysiological and Modulatory Interactions in Neuroimaging , 1997, NeuroImage.
[28] 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.
[29] 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.
[30] 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.
[31] 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.
[32] Karl J. Friston,et al. Spatial registration and normalization of images , 1995 .
[33] Scott L. Zeger,et al. Non‐linear Fourier Time Series Analysis for Human Brain Mapping by Functional Magnetic Resonance Imaging , 1997 .
[34] Karl J. Friston,et al. Analysis of functional MRI time‐series , 1994, Human Brain Mapping.
[35] J. Bullier,et al. Visual activity in area V2 during reversible inactivation of area 17 in the macaque monkey. , 1989, Journal of neurophysiology.
[36] 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.
[37] S. Zeki. Vision: The motion pathways of the visual cortex , 1991 .
[38] Karl J. Friston,et al. Cognitive Conjunction: A New Approach to Brain Activation Experiments , 1997, NeuroImage.
[39] A M Dale,et al. Randomized event‐related experimental designs allow for extremely rapid presentation rates using functional MRI , 1998, Neuroreport.
[40] 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.
[41] Karl J. Friston,et al. Functional topography: multidimensional scaling and functional connectivity in the brain. , 1996, Cerebral cortex.
[42] John H. R. Maunsell,et al. Attentional modulation of visual motion processing in cortical areas MT and MST , 1996, Nature.
[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] R. Turner,et al. Event-Related fMRI: Characterizing Differential Responses , 1998, NeuroImage.
[45] Karl J. Friston,et al. A unified statistical approach for determining significant signals in images of cerebral activation , 1996, Human brain mapping.
[46] 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.
[47] C. Büchel,et al. Modulation of connectivity in visual pathways by attention: cortical interactions evaluated with structural equation modelling and fMRI. , 1997, Cerebral cortex.
[48] Karl J. Friston,et al. Nonlinear Responses in fMRI: The Balloon Model, Volterra Kernels, and Other Hemodynamics , 2000, NeuroImage.
[49] Karl J. Friston,et al. A multivariate analysis of PET activation studies , 1996, Human brain mapping.
[50] 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.
[51] Karl J. Friston,et al. Assessing the significance of focal activations using their spatial extent , 1994, Human brain mapping.
[52] E. Bullmore,et al. Statistical methods of estimation and inference for functional MR image analysis , 1996, Magnetic resonance in medicine.
[53] D. Benson,et al. Disconnection syndromes , 1993, Neurology.
[54] Karl J. Friston,et al. Incorporating Prior Knowledge into Image Registration , 1997, NeuroImage.
[55] J. Ashburner,et al. Nonlinear spatial normalization using basis functions , 1999, Human brain mapping.
[56] Karl J. Friston,et al. Analysis of fMRI Time-Series Revisited—Again , 1995, NeuroImage.
[57] Karl J. Friston,et al. Voxel-Based Morphometry—The Methods , 2000, NeuroImage.
[58] P. Jezzard,et al. Correction for geometric distortion in echo planar images from B0 field variations , 1995, Magnetic resonance in medicine.
[59] 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.
[60] L.K. Hansen,et al. fMRI neuroinformatics , 2006, IEEE Engineering in Medicine and Biology Magazine.
[61] Karl J. Friston,et al. Detecting Activations in PET and fMRI: Levels of Inference and Power , 1996, NeuroImage.