A Data-Driven Sparse GLM for fMRI Analysis Using Sparse Dictionary Learning With MDL Criterion
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Sungho Tak | Kangjoo Lee | Jong Chul Ye | J. C. Ye | S. Tak | Kangjoo Lee
[1] Joseph F. Murray,et al. Dictionary Learning Algorithms for Sparse Representation , 2003, Neural Computation.
[2] Roberto Viviani,et al. Functional principal component analysis of fMRI data , 2005, Human brain mapping.
[3] Iwao Kanno,et al. Activation detection in functional MRI using subspace modeling and maximum likelihood estimation , 1999, IEEE Transactions on Medical Imaging.
[4] A. Andersen,et al. Principal component analysis of the dynamic response measured by fMRI: a generalized linear systems framework. , 1999, Magnetic resonance imaging.
[5] Emmanuel J. Candès,et al. Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information , 2004, IEEE Transactions on Information Theory.
[6] James V. Stone,et al. Spatiotemporal Independent Component Analysis of Event-Related fMRI Data Using Skewed Probability Density Functions , 2002, NeuroImage.
[7] A. Dale,et al. Coupling of Total Hemoglobin Concentration, Oxygenation, and Neural Activity in Rat Somatosensory Cortex , 2003, Neuron.
[8] E Yacoub,et al. Detection of the early decrease in fMRI signal in the motor area , 2001, Magnetic resonance in medicine.
[9] D. Heeger,et al. In this issue , 2002, Nature Reviews Drug Discovery.
[10] Karl J. Friston,et al. Statistical parametric mapping , 2013 .
[11] C. Koch,et al. Sparse but not ‘Grandmother-cell’ coding in the medial temporal lobe , 2008, Trends in Cognitive Sciences.
[12] R. Poldrack,et al. Can the cerebral metabolic rate of oxygen be estimated with near-infrared spectroscopy? , 2003, Physics in medicine and biology.
[13] David A. Boas,et al. A Quantitative Comparison of Simultaneous BOLD fMRI and NIRS Recordings during Functional Brain Activation , 2002, NeuroImage.
[14] Naoki Saito,et al. Simultaneous noise suppression and signal compression using a library of orthonormal bases and the minimum-description-length criterion , 1994, Defense, Security, and Sensing.
[15] 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.
[16] R. Buxton. The Elusive Initial Dip , 2001, NeuroImage.
[17] Karl J. Friston,et al. Statistical parametric maps in functional imaging: A general linear approach , 1994 .
[18] M. Elad,et al. $rm K$-SVD: An Algorithm for Designing Overcomplete Dictionaries for Sparse Representation , 2006, IEEE Transactions on Signal Processing.
[19] Jens Frahm,et al. The post-stimulation undershoot in BOLD fMRI of human brain is not caused by elevated cerebral blood volume , 2008, NeuroImage.
[20] Terrence J. Sejnowski,et al. Learning Overcomplete Representations , 2000, Neural Computation.
[21] David J. Field,et al. Emergence of simple-cell receptive field properties by learning a sparse code for natural images , 1996, Nature.
[22] K. Uğurbil,et al. The Spatial Dependence of the Poststimulus Undershoot as Revealed by High-Resolution BOLD- and CBV-Weighted fMRI , 2005, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.
[23] T. Sejnowski,et al. Human Brain Mapping 6:368–372(1998) � Independent Component Analysis of fMRI Data: Examining the Assumptions , 2022 .
[24] R. Turner,et al. Characterizing Evoked Hemodynamics with fMRI , 1995, NeuroImage.
[25] Joel A. Tropp,et al. Greed is good: algorithmic results for sparse approximation , 2004, IEEE Transactions on Information Theory.
[26] C. G. Phillips,et al. Localization of function in the cerebral cortex. Past, present and future. , 1984, Brain : a journal of neurology.
[27] Michael Elad,et al. Compression of facial images using the K-SVD algorithm , 2008, J. Vis. Commun. Image Represent..
[28] H. Rauhut,et al. Atoms of All Channels, Unite! Average Case Analysis of Multi-Channel Sparse Recovery Using Greedy Algorithms , 2008 .
[29] Michael Elad,et al. Optimally sparse representation in general (nonorthogonal) dictionaries via ℓ1 minimization , 2003, Proceedings of the National Academy of Sciences of the United States of America.
[30] Michael Elad,et al. Image Denoising Via Sparse and Redundant Representations Over Learned Dictionaries , 2006, IEEE Transactions on Image Processing.
[31] Vinod Menon,et al. Functional connectivity in the resting brain: A network analysis of the default mode hypothesis , 2002, Proceedings of the National Academy of Sciences of the United States of America.
[32] Michael A. Saunders,et al. Atomic Decomposition by Basis Pursuit , 1998, SIAM J. Sci. Comput..
[33] J. Pekar,et al. A method for making group inferences from functional MRI data using independent component analysis , 2001, Human brain mapping.
[34] S Makeig,et al. Analysis of fMRI data by blind separation into independent spatial components , 1998, Human brain mapping.
[35] J. Rissanen,et al. Modeling By Shortest Data Description* , 1978, Autom..
[36] Joel A. Tropp,et al. Signal Recovery From Random Measurements Via Orthogonal Matching Pursuit , 2007, IEEE Transactions on Information Theory.
[37] H. Akaike. A new look at the statistical model identification , 1974 .
[38] B. Biswal,et al. Functional connectivity in the motor cortex of resting human brain using echo‐planar mri , 1995, Magnetic resonance in medicine.
[39] P. Fransson. Spontaneous low‐frequency BOLD signal fluctuations: An fMRI investigation of the resting‐state default mode of brain function hypothesis , 2005, Human brain mapping.
[40] Karl J. Friston,et al. Analysis of functional MRI time‐series , 1994, Human Brain Mapping.
[41] C. Koch,et al. Invariant visual representation by single neurons in the human brain , 2005, Nature.
[42] Emmanuel J. Candès,et al. Decoding by linear programming , 2005, IEEE Transactions on Information Theory.
[43] M. McKeown. Detection of Consistently Task-Related Activations in fMRI Data with Hybrid Independent Component Analysis , 2000, NeuroImage.
[44] A. Kleinschmidt,et al. Simultaneous Recording of Cerebral Blood Oxygenation Changes during Human Brain Activation by Magnetic Resonance Imaging and Near-Infrared Spectroscopy , 1996, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.
[45] A. Shmuel,et al. Investigation of the initial dip in fMRI at 7 Tesla , 2001, NMR in biomedicine.
[46] Mark W. Woolrich,et al. Advances in functional and structural MR image analysis and implementation as FSL , 2004, NeuroImage.
[47] D. V. Cramon,et al. Investigating the post-stimulus undershoot of the BOLD signal—a simultaneous fMRI and fNIRS study , 2006, NeuroImage.
[48] Karl J. Friston,et al. Unified SPM–ICA for fMRI analysis , 2005, NeuroImage.
[49] I Daubechies,et al. Independent component analysis for brain fMRI does not select for independence , 2009 .
[50] Rainer Goebel,et al. Spatial independent component analysis of functional MRI time‐series: To what extent do results depend on the algorithm used? , 2002, Human brain mapping.
[51] David L Donoho,et al. Compressed sensing , 2006, IEEE Transactions on Information Theory.
[52] B. Biswal,et al. Blind source separation of multiple signal sources of fMRI data sets using independent component analysis. , 1999, Journal of computer assisted tomography.
[53] Terrence J. Sejnowski,et al. An Information-Maximization Approach to Blind Separation and Blind Deconvolution , 1995, Neural Computation.
[54] G. Schwarz. Estimating the Dimension of a Model , 1978 .
[55] Karl J. Friston,et al. Analysis of fMRI Time-Series Revisited , 1995, NeuroImage.
[56] D. Chakrabarti,et al. A fast fixed - point algorithm for independent component analysis , 1997 .
[57] R. Buxton,et al. Dynamics of blood flow and oxygenation changes during brain activation: The balloon model , 1998, Magnetic resonance in medicine.
[58] V D Calhoun,et al. Spatial and temporal independent component analysis of functional MRI data containing a pair of task‐related waveforms , 2001, Human brain mapping.
[59] A. Bruckstein,et al. K-SVD : An Algorithm for Designing of Overcomplete Dictionaries for Sparse Representation , 2005 .
[60] Michael Elad,et al. Efficient Implementation of the K-SVD Algorithm using Batch Orthogonal Matching Pursuit , 2008 .