Dependencies between stimuli and spatially independent fMRI sources: Towards brain correlates of natural stimuli

NeuroImage

Volumn 48, Issue 1, 2009, Pages 176-185

  Ylipaavalniemi, Jarkko ^a   Savia, Eerika ^a,b   Malinen, Sanna ^a   Hari, Riitta ^a   Vigário, Ricardo ^a   Kaski, Samuel ^a,b  

^a AALTO UNIVERSITY   (Finland)

^b HELSINKI INSTITUTE FOR INFORMATION TECHNOLOGY   (Finland)

Author keywords

Canonical correlation analysis (CCA); Functional magnetic resonance imaging; Human; Independent component analysis; Natural stimuli

Indexed keywords

ADULT; ANALYTIC METHOD; ARTICLE; BRAIN DEPTH STIMULATION; CORRELATION ANALYSIS; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HUMAN; HUMAN EXPERIMENT; INDEPENDENT COMPONENT ANALYSIS; MACHINE LEARNING; MEASUREMENT; NEUROIMAGING; NORMAL HUMAN; PRIORITY JOURNAL;

ACOUSTIC STIMULATION; AUDITORY PERCEPTION; BRAIN; HUMANS; MAGNETIC RESONANCE IMAGING; PHOTIC STIMULATION; PHYSICAL STIMULATION; TIME FACTORS; TOUCH PERCEPTION; VISUAL PERCEPTION;

EID: 67949121767     PISSN: 10538119     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2009.03.056     Document Type: Article

References (32)

1. Aguirre G.K., Zarahn E., and D'Esposito M. The inferential impact of global signal covariates in functional neuroimaging analyses. NeuroImage 8 3 (1998) 302-306
2. Bartels A., and Zeki S. Brain dynamics during natural viewing conditions - a new guide for mapping connectivity in vivo. NeuroImage 24 2 (2005) 339-349
3. Bartels A., and Zeki S. The chronoarchitecture of the cerebral cortex. NeuroImage 360 1456 (2005) 733-750
4. Calhoun V.D., Pekar J.J., McGinty V.B., Adali T., Watson T.D., and Pearlson G.D. Different activation dynamics in multiple neural systems during simulated driving. Hum. Brain Mapp. 16 (2002) 158-167
5. Damoiseaux J.S., Rombouts S.A.R.B., Barkhof F., Scheltens P., Stam C.J., Smith S.M., and Beckmann C.F. Consistent resting-state networks across healthy subjects. Proc. Natl. Acad. Sci. 103 37 (2006) 13848-13853
6. Efron B., and Tibshirani R.J. An Introduction to the Bootstrap, 1st Edition. Vol. 57 of Monographs on Statistics and Applied Probability Series (1994), CRC Press
7. FastICA, 1998. MATLAB™package. http://www.cis.hut.fi/research/ica/fastica.
8. Friman O., Carlsson J., Lundberg P., Borga M., and Knutsson H. Detection of neural activity in functional MRI using canonical correlation analysis. Magn. Reson. Med. 45 2 (2001) 323-330
9. Hardoon D.R., Mourão-Miranda J., Brammer M., and Shawe-Taylor J. Unsupervised analysis of fMRI data using kernel canonical correlation. NeuroImage 37 4 (2007) 1250-1259
10. Hasson U., Nir Y., Levy I., Fuhrmann G., and Malach R. Intersubject synchronization of cortical activity during natural vision. Science 303 5664 (2004) 1634-1640
11. Haynes J.D., and Rees G. Predicting the orientation of invisible stimuli from activity in human primary visual cortex. Nat. Neurosci. 8 5 (2005) 686-691
12. Hyvärinen A., Karhunen J., and Oja E. Independent Component Analysis. 1st Edition (2001), Wiley-Interscience, New York, NY
13. ISO. JTC1/SC29 information technology - multimedia content description interface - part 4: Audio. ISO/IEC FDIS 15938-4 (2002), International Standards Organization, Geneva, Switzerland
14. Kamitani Y., and Tong F. Decoding the visual and subjective contents of the human brain. Nat. Neurosci. 8 5 (2005) 679-685
15. Kullback S. Information Theory and Statistics. 2nd Edition (1997), Dover Publications, Mineola, NY
16. Malinen S., Hlushchuk Y., and Hari R. Towards natural stimulation in fMRI - issues of data analysis. NeuroImage 35 1 (2007) 131-139
17. Mantini D., Perrucci M.G., Gratta C.D., Romani G.L., and Corbetta M. Electrophysiological signatures of resting state networks in the human brain. Proc. Natl. Acad. Sci. 104 32 (2007) 13170-13175
18. McKeown M.J., Makeig S., Brown G.G., Jung T.P., Kindermann S.S., Bell A.J., and Sejnowski T.J. Analysis of fMRI data by blind separation into independent spatial components. Hum. Brain Mapp. 6 3 (1998) 160-188
19. Murphy, K., Birn, R.M., Handwerker, D.A., Jones, T.B., Bandettini, P.A., 2008. The impact of global signal regression on resting state correlations: are anti-correlated networks introduced? NeuroImage In press. doi:10.1016/j.neuroimage.2008.09.036.
20. Raichle M.E., and Mintun M.A. Brain work and brain imaging. Annu. Rev. Neurosci. 39 (2006) 449-476
21. Rasmussen C.E., and Williams C.K.I. Gaussian Processes for Machine Learning. 1st Edition (2005), MIT Press, Cambridge, MA
22. Schneider, W., Bartels, A., Formisano, E., Haxby, J., Goebel, R., Mitchell, T., Nichols, T., Siegle, G., 2006. Competition: inferring experience based cognition from fMRI. In: Proceedings of the 12th Meeting of the Organization for Human Brain Mapping (HBM 2006). Florence, Italy, http://www.ebc.pitt.edu/2006/competition.html.
23. Sona D., Veeramachaneni S., Olivetti E., and Avesani P. Inferring cognition from fMRI brain images. In: Proceedings of the 17th International Conference on Artificial Neural Networks (ICANN 2007) (2007), Porto, Portugal 869-878
24. SPM2, 2002. MATLAB™package. http://www.fil.ion.ucl.ac.uk/spm.
25. Stevens J.P. Applied Multivariate Statistics for the Social Sciences. 4th Edition (2001), Mahwah, NJ, Lawrence Erlbaum Associates
26. Timm N.H. Applied Multivariate Analysis. 1st Edition (2002), Springer, New York, NY
27. Vapnik V.N. Statistical Learning Theory. 1st Edition (1998), Wiley-Interscience, New York, NY
28. Worsley K.J., and Friston K.J. Analysis of fMRI time-series revisited - again. NeuroImage 2 3 (1995) 173-235
29. Ylipaavalniemi J., and Vigário R. Analyzing consistency of independent components: an fMRI illustration. NeuroImage 39 1 (2008) 169-180
30. Ylipaavalniemi J., Savia E., Vigário R., and Kaski S. Functional elements and networks in fMRI. Proceedings of the 15th European Symposium on Artificial Neural Networks (ESANN 2007) (2007), Bruges, Belgium 561-566
31. Ylipaavalniemi, J., Soppela, J., 2009. Arabica: Robust ICA in a Pipeline. Proceedings of the 8th International Conference on Independent Component Analysis and Signal Separation (ICA 2009). Paraty, Brazil, pp. 379-386. http://launchpad.net/arabica.
32. Zolnay, A., Kocharov, D., Schlüter, R., Ney, H., 2007. Using multiple acoustic feature sets for speech recognition 49 (6), 514-525.