Probabilistic ICA for FMRI

2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano

Volumn 2, Issue , 2004, Pages 1490-1493

  Beckmann, Christian F ^a  

^a UNIVERSITY OF OXFORD   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

LINEAR LATENT VARIABLES; NOISE-FREE CASE; NON-SQUARE MIXING; SPATIO-TEMPORAL ACCURACY;

DATA REDUCTION; EIGENVALUES AND EIGENFUNCTIONS; GAUSSIAN NOISE (ELECTRONIC); LEAST SQUARES APPROXIMATIONS; MAGNETIC RESONANCE IMAGING; MATHEMATICAL MODELS; MATHEMATICAL TRANSFORMATIONS; MATRIX ALGEBRA; MAXIMUM LIKELIHOOD ESTIMATION; PROBABILISTIC LOGICS; SPECTRUM ANALYSIS; VECTORS;

INDEPENDENT COMPONENT ANALYSIS;

EID: 17144383655     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (8)

1. M.W. Woolrich, B.D. Ripley, J.M. Brady, and S.M. Smith, "Temporal autocorrelation in univariate linear modelling of FMRI data," NeuroImage, vol. 14, no. 6, pp. 1370-1386, 2001.
2. T.P Minka, "Automatic choice of dimensionality for PCA," Tech. Rep. 514, MIT, 2000.
3. K.J. Worsley, "An overview and some new developments in the statistical analysis of PET and fRMI data," Human Brain Mapping, vol. 5, pp. 254-258, 1997.
4. N.V. Hartvig and J. Jensen, "Spatial mixture modelling of fMRI data," Human Brain Mapping, vol. 11, no. 4, pp. 233-248, 2000.
5. C.F. Beckmann and S.M. Smith, "Probabilistic independent component analysis in FMRI," in Proc. Int. Soc. of Magnetic Resonance in Medicine, 2002.
6. C.F. Beckmann, J.A. Noble, and S.M. Smith, "Investigating the intrinsic dimensionality of. FMRI data for ICA," in Seventh Int. Conf. on Functional Mapping of the Human Brain, 2001.
7. A. Hyvärinen and E. Oja, "A fast fixed-point algorithm for independent component analysis," Neural Computation, vol. 9, no. 7, pp. 1483-1492, 1997.
8. M. J. McKeown, S. Makeig, G. G. Brown, T. P. Jung, S. S. Kindermann, A. J. Bell, and T. J. Sejnowski, "Analysis of fMRI data by blind separation into independent spatial components." Human Brain Mapping, vol. 6, no. 3, pp. 160-88, 1998.