Advances in Modeling and Inference of Neuroimaging Data.
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[1] Scott L. Zeger,et al. Non‐linear Fourier Time Series Analysis for Human Brain Mapping by Functional Magnetic Resonance Imaging , 1997 .
[2] Karl J. Friston,et al. Detecting Activations in PET and fMRI: Levels of Inference and Power , 1996, NeuroImage.
[3] C. Patlak,et al. Principles of Susceptibility Contrast-Based Functional MRI: The Sign of the Functional MRI Response , 2000 .
[4] Andrew P. Holmes,et al. Statistical issues in functional brain mapping. , 1994 .
[5] Karl J. Friston,et al. Stochastic Designs in Event-Related fMRI , 1999, NeuroImage.
[6] R. Turner,et al. Dynamic magnetic resonance imaging of human brain activity during primary sensory stimulation. , 1992, Proceedings of the National Academy of Sciences of the United States of America.
[7] R. Turner,et al. Event-Related fMRI: Characterizing Differential Responses , 1998, NeuroImage.
[8] Thomas E. Nichols,et al. Nonstationary cluster-size inference with random field and permutation methods , 2004, NeuroImage.
[9] K. Worsley,et al. Local Maxima and the Expected Euler Characteristic of Excursion Sets of χ 2, F and t Fields , 1994, Advances in Applied Probability.
[10] James S. Hyde,et al. Strategies for block-design fMRI experiments during task-related motion of structures of the oral cavity , 2006, NeuroImage.
[11] Stephen M. Smith,et al. Temporal Autocorrelation in Univariate Linear Modeling of FMRI Data , 2001, NeuroImage.
[12] Karl J. Friston,et al. A unified statistical approach for determining significant signals in images of cerebral activation , 1996, Human brain mapping.
[13] B. Ripley,et al. A new statistical approach to detecting significant activation in functional MRI , 2000, NeuroImage.
[14] Thomas E. Nichols,et al. Diagnosis and exploration of massively univariate neuroimaging models , 2003, NeuroImage.
[15] Karl J. Friston. Testing for anatomically specified regional effects , 1997, Human brain mapping.
[16] Beatriz Luna,et al. Combining Brains: A Survey of Methods for Statistical Pooling of Information , 2002, NeuroImage.
[17] Stephen C. Strother,et al. An evaluation of methods for detecting brain activations from functional neuroimages , 2002, Artif. Intell. Medicine.
[18] 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.
[19] R. A. Leibler,et al. On Information and Sufficiency , 1951 .
[20] Jeffrey A Fessler,et al. Analysis of observer performance in unknown-location tasks for tomographic image reconstruction. , 2007, Journal of the Optical Society of America. A, Optics, image science, and vision.
[21] 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.
[22] Soon Chun Siong,et al. Comparison of block and event‐related fMRI designs in evaluating the word‐frequency effect , 2003, Human brain mapping.
[23] M. Jenkinson. Estimation of Smoothness from the Residual Field FMRIB Technical Report TR 00 MJ 3 , 2000 .
[24] R. D. Gordon. Values of Mills' Ratio of Area to Bounding Ordinate and of the Normal Probability Integral for Large Values of the Argument , 1941 .
[25] Keith J. Worsley,et al. Applications of Random Fields in Human Brain Mapping , 2001 .
[26] G. Jogesh Babu,et al. Multivariate Permutation Tests , 2002, Technometrics.
[27] R. Adler. The Geometry of Random Fields , 2009 .
[28] Thomas E. Nichols,et al. Controlling the familywise error rate in functional neuroimaging: a comparative review , 2003, Statistical methods in medical research.
[29] Brian D. Ripley,et al. A New Statistical Approach to Detecting Significant Activation in Functional MRI , 2000, NeuroImage.
[30] Alan C. Evans,et al. A General Statistical Analysis for fMRI Data , 2000, NeuroImage.
[31] Gang Chen,et al. Functional imaging analysis contest (FIAC) analysis according to AFNI and SUMA , 2006, Human brain mapping.
[32] Karl J. Friston,et al. Robust Smoothness Estimation in Statistical Parametric Maps Using Standardized Residuals from the General Linear Model , 1999, NeuroImage.
[33] D. Siegmund,et al. Testing for a Signal with Unknown Location and Scale in a Stationary Gaussian Random Field , 1995 .
[34] Jonathan D. Cohen,et al. Improved Assessment of Significant Activation in Functional Magnetic Resonance Imaging (fMRI): Use of a Cluster‐Size Threshold , 1995, Magnetic resonance in medicine.
[35] Jeffrey A. Fessler,et al. Analysis of observer performance in known-location tasks for tomographic image reconstruction , 2006, IEEE Transactions on Medical Imaging.
[36] J. Cao. The size of the connected components of excursion sets of χ2, t and F fields , 1999, Advances in Applied Probability.
[37] R. Adler,et al. The Geometry of Random Fields , 1982 .
[38] Thomas E. Nichols,et al. Combining voxel intensity and cluster extent with permutation test framework , 2004, NeuroImage.
[39] Thomas E. Nichols,et al. Validating cluster size inference: random field and permutation methods , 2003, NeuroImage.
[40] Thomas E. Nichols,et al. Nonparametric permutation tests for functional neuroimaging: A primer with examples , 2002, Human brain mapping.
[41] S. Ogawa,et al. Oxygenation‐sensitive contrast in magnetic resonance image of rodent brain at high magnetic fields , 1990, Magnetic resonance in medicine.
[42] John Suckling,et al. Global, voxel, and cluster tests, by theory and permutation, for a difference between two groups of structural MR images of the brain , 1999, IEEE Transactions on Medical Imaging.
[43] Karl J. Friston,et al. Assessing the significance of focal activations using their spatial extent , 1994, Human brain mapping.
[44] John Jonides,et al. Order Information in Working Memory: fMRI Evidence for Parietal and Prefrontal Mechanisms , 2000, Journal of Cognitive Neuroscience.
[45] E. Bullmore,et al. Statistical methods of estimation and inference for functional MR image analysis , 1996, Magnetic resonance in medicine.
[46] C. Sherrington,et al. On the Regulation of the Blood‐supply of the Brain , 1890, The Journal of physiology.
[47] Karl J. Friston,et al. Combining Spatial Extent and Peak Intensity to Test for Activations in Functional Imaging , 1997, NeuroImage.