Predicting brain states from fMRI data: Incremental functional principal component regression

Advances in Neural Information Processing Systems 20 - Proceedings of the 2007 Conference

Volumn , Issue , 2008, Pages

  Ghebreab, S ^a   Smeulders, A W M ^a   Adriaans, P ^a  

^a UNIVERSITY OF AMSTERDAM   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

BENCHMARKING; FUNCTIONAL NEUROIMAGING; MULTIVARIANT ANALYSIS; PRINCIPAL COMPONENT ANALYSIS; REGRESSION ANALYSIS; SPATIAL DISTRIBUTION; STOCHASTIC SYSTEMS;

BRAIN RESPONSE; BRAIN STATE; FMRI DATA; FUNCTIONAL MEASUREMENTS; FUNCTIONAL NEUROIMAGING DATA; HUMAN BRAIN; MULTIVARIATE REGRESSION ANALYSIS; POWER; PRINCIPAL COMPONENTS; STOCHASTICS;

BRAIN;

EID: 85162028638     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (14)

1. J. Haynes and G. Rees. Decoding mental states from brain activity in humans. Nature Neuroscience, 7(8):523-534, 2006. (Pubitemid 43989773)
2. J. Haynes and G. Rees. Predicting the orientation of invisible stimuli from activity in human primary visual cortex. Nature Neuroscience, 7(5):686-691, 2005. (Pubitemid 40594212)
3. Y. Kamitani and F. Tong. Decoding the visual and subjective contents of the human brain. Nature Neuroscience, 8(5):679-685, 2005. (Pubitemid 40594211)
4. S.M. Polyn, V.S. Natu, J.D. Cohen, and K.A. Norman. Category-specific cortical activity precedes retrieval during memory search. Science, 310(5756):1963-1966, 2005. (Pubitemid 43005991)
5. T.M. Mitchell, R. Hutchinson, R.S. Niculescu, F. Pereira, X. Wang, M. Just, and S. Newman. Learning to decode cognitive states from brain images. Machine Learning, 57(1-2), 2004.
6. W. Schneider, A. Bartels, E. Formisano, J. Haxby, R. Goebel, T. Mitchell, T. Nichols, and G. Siegle. Competition: Inferring experience based cognition from fmri. In Proceedings Organization of Human Brain Mapping Florence Italy June 15, 2006.
7. Editorial. What's on your mind. Nature Neuroscience, 6(8):981, 2006.
8. K.J.Worsley, J.B. Poline, K.J. Friston, and A.C. Evans. Characterizing the response of pet and fmri data using multivariate linear models. Neuroimage, 6, 1997.
9. J. Ramsay and B. Silverman. Functional Data Analysis. Springer-Verlag, 1997.
10. R. Viviani, G. Grohn, and M. Spitzer. Functional principal component analysis of fmri data. Human Brain Mapping, 24:109-129, 2005. (Pubitemid 40205118)
11. D.B. Rowe and R.G. Hoffmann. Multivariate statistical analysis in fmri. IEEE Engineering in Medicine and Biology, 25:60-64, 2006.
12. Shumeet Baluja. Population-based incremental learning: A method for integrating genetic search based function optimization and competitive learning. Technical Report CMU-CS-94-163, Computer Science Department, Carnegie Mellon University, Pittsburgh, PA, 1994.
13. M.A. Gernsbacher and M.P. Kaschak. Neuroimaging studies of language production and comprehension. Annual Review of Psychology, 54:91-114, 2003. (Pubitemid 37417489)
14. D.A. Handwerker, J.M. Ollinger, andM. D'Esposito. Variation of bold hemodynamic response function across subjects and brain regions and their effects on statistical analysis. NeuroImage, 8(21):1639-1651, 2004. (Pubitemid 38446587)