Independent Component Analysis for Brain fMRI Does Indeed Select for Maximal Independence

This article was republished on October 23, 2013 because of missing equations. Please download this article again to view the equations.

[1]  Terrence J. Sejnowski,et al.  An Information-Maximization Approach to Blind Separation and Blind Deconvolution , 1995, Neural Computation.

[2]  D. Chakrabarti,et al.  A fast fixed - point algorithm for independent component analysis , 1997 .

[3]  S Makeig,et al.  Analysis of fMRI data by blind separation into independent spatial components , 1998, Human brain mapping.

[4]  Hagai Attias,et al.  Independent Factor Analysis , 1999, Neural Computation.

[5]  Terrence J. Sejnowski,et al.  Independent Component Analysis Using an Extended Infomax Algorithm for Mixed Subgaussian and Supergaussian Sources , 1999, Neural Computation.

[6]  Jean-Franois Cardoso High-Order Contrasts for Independent Component Analysis , 1999, Neural Computation.

[7]  J. Pekar,et al.  A method for making group inferences from functional MRI data using independent component analysis , 2001, Human brain mapping.

[8]  Barak A. Pearlmutter,et al.  Blind Source Separation by Sparse Decomposition in a Signal Dictionary , 2001, Neural Computation.

[9]  L. K. Hansen,et al.  Independent component analysis of functional MRI: what is signal and what is noise? , 2003, Current Opinion in Neurobiology.

[10]  Patrik O. Hoyer,et al.  Non-negative Matrix Factorization with Sparseness Constraints , 2004, J. Mach. Learn. Res..

[11]  Godfrey D Pearlson,et al.  Source density‐driven independent component analysis approach for fMRI data , 2005, Human brain mapping.

[12]  Vince D. Calhoun,et al.  Performance of blind source separation algorithms for fMRI analysis using a group ICA method. , 2007, Magnetic resonance imaging.

[13]  I Daubechies,et al.  Independent component analysis for brain fMRI does not select for independence , 2009 .

[14]  Vince D. Calhoun,et al.  Flexible complex ICA of fMRI data , 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

[15]  Tülay Adali,et al.  Complex Independent Component Analysis by Entropy Bound Minimization , 2010, IEEE Transactions on Circuits and Systems I: Regular Papers.

[16]  Guillermo Sapiro,et al.  Online Learning for Matrix Factorization and Sparse Coding , 2009, J. Mach. Learn. Res..

[17]  Vince D. Calhoun,et al.  Application of Independent Component Analysis With Adaptive Density Model to Complex-Valued fMRI Data , 2011, IEEE Transactions on Biomedical Engineering.

[18]  Vince D. Calhoun,et al.  ICA of fMRI data: Performance of three ICA algorithms and the importance of taking correlation information into account , 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

[19]  V. Calhoun,et al.  Multisubject Independent Component Analysis of fMRI: A Decade of Intrinsic Networks, Default Mode, and Neurodiagnostic Discovery , 2012, IEEE Reviews in Biomedical Engineering.