Nonparametric permutation tests for functional neuroimaging: A primer with examples
暂无分享,去创建一个
[1] J. I. The Design of Experiments , 1936, Nature.
[2] E. Pitman. Significance Tests Which May be Applied to Samples from Any Populations , 1937 .
[3] E. J. G. Pitman,et al. Significance Tests Which May be Applied to Samples from Any Populations. II. The Correlation Coefficient Test , 1937 .
[4] E. Pitman. SIGNIFICANCE TESTS WHICH MAY BE APPLIED TO SAMPLES FROM ANY POPULATIONS III. THE ANALYSIS OF VARIANCE TEST , 1938 .
[5] M. Kendall. Rank Correlation Methods , 1949 .
[6] M. Dwass. Modified Randomization Tests for Nonparametric Hypotheses , 1957 .
[7] E. Edgington. Approximate Randomization Tests , 1969 .
[8] Eugene S. Edgington,et al. Statistical inference : the distribution-free approach , 1969 .
[9] R. Forthofer,et al. Rank Correlation Methods , 1981 .
[10] Karl-Heinz Jockel,et al. Finite Sample Properties and Asymptotic Efficiency of Monte Carlo Tests , 1986 .
[11] A. Tamhane,et al. Multiple Comparison Procedures , 1989 .
[12] Ronald Aylmer Sir Fisher,et al. Statistical Methods, Experimental Design, and Scientific Inference , 1990 .
[13] Alan C. Evans,et al. A Linear Spatial Correlation Model, with Applications to Positron Emission Tomography , 1991 .
[14] Karl J. Friston,et al. Journal of Cerebral Blood Flow and Metabolism Comparing Functional (pet) Images: the Assessment of Significant Change , 2022 .
[15] M. Kendall,et al. Rank Correlation Methods (5th ed.). , 1992 .
[16] 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.
[17] S. S. Young,et al. Resampling-Based Multiple Testing: Examples and Methods for p-Value Adjustment , 1993 .
[18] Richard S. J. Frackowiak,et al. Area V5 of the human brain: evidence from a combined study using positron emission tomography and magnetic resonance imaging. , 1993, Cerebral cortex.
[19] J B Poline,et al. Analysis of Individual Positron Emission Tomography Activation Maps by Detection of High Signal-to-Noise-Ratio Pixel Clusters , 1993, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.
[20] P. Roland,et al. Three‐dimensional analysis of clustered voxels in 15O‐butanol brain activation images , 1993 .
[21] Karl J. Friston,et al. Assessing the significance of focal activations using their spatial extent , 1994, Human brain mapping.
[22] Andrew P. Holmes,et al. Statistical issues in functional brain mapping. , 1994 .
[23] J Ashburner,et al. Emission Tomography: An Event-Related Count Rate Correlational Analysis , 1994 .
[24] 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.
[25] Karl J. Friston,et al. Statistical parametric maps in functional imaging: A general linear approach , 1994 .
[26] Karl J. Friston,et al. Analysis of fMRI Time-Series Revisited , 1995, NeuroImage.
[27] P. Good,et al. Permutation Tests: A Practical Guide to Resampling Methods for Testing Hypotheses , 1995 .
[28] Karl J. Friston,et al. Analysis of fMRI Time-Series Revisited—Again , 1995, NeuroImage.
[29] 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.
[30] Richard S. J. Frackowiak,et al. A functional neuroanatomy of hallucinations in schizophrenia , 1995, Nature.
[31] Keith J. Worsley,et al. The Geometry of Random Images , 1996 .
[32] Karl J. Friston,et al. Detecting Activations in PET and fMRI: Levels of Inference and Power , 1996, NeuroImage.
[33] N C Andreasen,et al. Tests for Comparing Images Based on Randomization and Permutation Methods , 1996, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.
[34] E. Bullmore,et al. Statistical methods of estimation and inference for functional MR image analysis , 1996, Magnetic resonance in medicine.
[35] J D Watson,et al. Nonparametric Analysis of Statistic Images from Functional Mapping Experiments , 1996, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.
[36] R. J. Frank,et al. Reliability of PET activation across statistical methods, subject groups, and sample sizes , 1996, Human brain mapping.
[37] N C Andreasen,et al. Schizophrenia and cognitive dysmetria: a positron-emission tomography study of dysfunctional prefrontal-thalamic-cerebellar circuitry. , 1996, Proceedings of the National Academy of Sciences of the United States of America.
[38] Karl J. Friston,et al. A unified statistical approach for determining significant signals in images of cerebral activation , 1996, Human brain mapping.
[39] M. Mintun,et al. Comparison of activation response using functional PET and MRI , 1996, NeuroImage.
[40] 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.
[41] K Wienhard,et al. Performance of a Randomization Test for Single-Subject 15O-Water PET Activation Studies , 1997, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.
[42] Karl J. Friston,et al. Combining Spatial Extent and Peak Intensity to Test for Activations in Functional Imaging , 1997, NeuroImage.
[43] M. Hallett. Human Brain Function , 1998, Trends in Neurosciences.
[44] E. Edgington,et al. Randomization Tests (3rd ed.) , 1998 .
[45] Thomas E. Nichols,et al. Holmes and Watson on ‘Sherlock’ , 1998, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.
[46] J. Duyn,et al. Investigation of Low Frequency Drift in fMRI Signal , 1999, NeuroImage.
[47] J. Cao. The size of the connected components of excursion sets of χ2, t and F fields , 1999, Advances in Applied Probability.
[48] 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.
[49] John Jonides,et al. Order Information in Working Memory: fMRI Evidence for Parietal and Prefrontal Mechanisms , 2000, Journal of Cognitive Neuroscience.
[50] Nicholas Ayache,et al. Smoothness and degrees of freedom restrictions when using SPM99 , 2001, NeuroImage.