Anatomo-functional description of the brain: A probabilistic approach

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn 5, Issue , 2006, Pages

  Thyreau, Benjamin ^a   Thirion, Bertrand ^a   Flandin, Guillaume ^a   Poline, Jean Baptiste ^a  

^a DIF   (France)

Author keywords

[No Author keywords available]

Indexed keywords

OPTIMAL PARAMETERIZATION; PARCELLATION MODELS; SPATIAL RELAXATION; VARIANCE COMPONENTS;

INFORMATION THEORY; MAGNETIC RESONANCE IMAGING; PARAMETERIZATION; PROBABILISTIC LOGICS;

BRAIN;

EID: 33847080974     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (7)

1. J. Ashburner, K.J. Friston, and W. Penny, editors. Human Brain Function, 2nd Edition. Academic press, 2004.
2. A.P. Dempster, A.P. Laird, and D.B. Rubin. Maximum likelihood from incomplete data via the em algorithm (with discussion). Journal of the Royal Statistical Society, Series B, 39:1-38, 1977.
3. G. Flandin, F. Kherif, X. Pennec, G. Malandain, N. Ayache, and J.-B. Poline. Improved detection sensitivity of functional MRI data using a brain parcellation technique. In Proc. 5th MICCAI, LNCS 2488 (Part I), pages 467-474, Tokyo, Japan, September 2002. Springer Verlag.
4. Peter J. Green. Reversible jump MCMC computation and Bayesian model determination. Biometrika, 82:711-732, 1995.
5. T. Hastie, R. Tibshirani, and J. Friedman, editors. Springer Series in Statistics, 2001.
6. W.D. Penny. Variational bayes for d-dimensional gaussian mixture models. Technical report, Wellcome Department of Cognitive Neurology, University College London, 2001.
7. B. Thirion, G. Flandin, P. Pinel, A. Roche, P. Ciuciu, and J.-B. Poline. Dealing with the shortcomings of spatial normalization: Multi-subject parcellation of fmri datasets. Hum. Brain Mapp., in Press.