Spatiotemporal clustering of fMRI time series in the spectral domain
暂无分享,去创建一个
[1] M. D’Esposito,et al. The variability of human BOLD hemodynamic responses , 1998, NeuroImage.
[2] D. Thomson,et al. Spectrum estimation and harmonic analysis , 1982, Proceedings of the IEEE.
[3] J A Sorenson,et al. ROC methods for evaluation of fMRI techniques , 1996, Magnetic resonance in medicine.
[4] James S. Duncan,et al. Medical Image Analysis , 1999, IEEE Pulse.
[5] H. Gudbjartsson,et al. The rician distribution of noisy mri data , 1995, Magnetic resonance in medicine.
[6] Gabriele Lohmann,et al. On Multivariate Spectral Analysis of fMRI Time Series , 2001, NeuroImage.
[7] 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.
[8] François G. Meyer,et al. Analysis of Event-Related fMRI Data Using Best Clustering Bases , 2003, IPMI.
[9] D. Brillinger. Time series - data analysis and theory , 1981, Classics in applied mathematics.
[10] David R. Brillinger,et al. Time Series: Data Analysis and Theory. , 1982 .
[11] Thomas E. Nichols,et al. Statistical limitations in functional neuroimaging. II. Signal detection and statistical inference. , 1999, Philosophical transactions of the Royal Society of London. Series B, Biological sciences.
[12] Karl J. Friston,et al. Analysis of functional MRI time‐series , 1994, Human Brain Mapping.
[13] Karl J. Friston,et al. Variability in fMRI: An Examination of Intersession Differences , 2000, NeuroImage.
[14] R. Baumgartner,et al. Validating fuzzy clusters in fMRI data: A supervised approach , 2000, NeuroImage.
[15] E C Wong,et al. Processing strategies for time‐course data sets in functional mri of the human brain , 1993, Magnetic resonance in medicine.
[16] Thomas E. Nichols,et al. Statistical limitations in functional neuroimaging. I. Non-inferential methods and statistical models. , 1999, Philosophical transactions of the Royal Society of London. Series B, Biological sciences.
[17] E. DeYoe,et al. Analysis and use of FMRI response delays , 2001, Human brain mapping.
[18] L. K. Hansen,et al. On Clustering fMRI Time Series , 1999, NeuroImage.
[19] B. Ripley,et al. A new statistical approach to detecting significant activation in functional MRI , 2000, NeuroImage.
[20] J C Gore,et al. An roc approach for evaluating functional brain mr imaging and postprocessing protocols , 1995, Magnetic resonance in medicine.
[21] Scott L. Zeger,et al. Non‐linear Fourier Time Series Analysis for Human Brain Mapping by Functional Magnetic Resonance Imaging , 1997 .
[22] T.M. Talavage,et al. Testing a model for MR imager noise , 2002, Proceedings of the Second Joint 24th Annual Conference and the Annual Fall Meeting of the Biomedical Engineering Society] [Engineering in Medicine and Biology.
[23] C. Windischberger,et al. Quantification in functional magnetic resonance imaging: fuzzy clustering vs. correlation analysis. , 1998, Magnetic resonance imaging.
[24] John A. Hartigan,et al. Clustering Algorithms , 1975 .
[25] S Zeki,et al. Parallelism and functional specialization in human visual cortex. , 1990, Cold Spring Harbor symposia on quantitative biology.
[26] J. Simonoff. Multivariate Density Estimation , 1996 .
[27] P. Boesiger,et al. A new correlation‐based fuzzy logic clustering algorithm for FMRI , 1998, Magnetic resonance in medicine.
[28] C Gössl,et al. Dynamic models in fMRI , 2000, Magnetic resonance in medicine.
[29] E. Kaplan,et al. A Principal Components-Based Method for the Detection of Neuronal Activity Maps: Application to Optical Imaging , 2000, NeuroImage.
[30] G. McCarthy,et al. Human Brain Mapping 6:1–13(1998) � Functional MRI Studies of Auditory Comprehension , 2022 .
[31] Karl J. Friston,et al. Revealing interactions among brain systems with nonlinear PCA , 1999, Human brain mapping.
[32] J. Bezdek,et al. FCM: The fuzzy c-means clustering algorithm , 1984 .
[33] E. Bullmore,et al. Statistical methods of estimation and inference for functional MR image analysis , 1996, Magnetic resonance in medicine.
[34] P. Mitra,et al. Analysis of dynamic brain imaging data. , 1998, Biophysical journal.
[35] T Allison,et al. Magnetic resonance imaging studies of functional brain activation: analysis and interpretation. , 1996, Electroencephalography and clinical neurophysiology. Supplement.
[36] P. Lauterbur,et al. Principles of magnetic resonance imaging : a signal processing perspective , 1999 .