Wavelet correlation between subjects: A time-scale data driven analysis for brain mapping using fMRI

Journal of Neuroscience Methods

Volumn 194, Issue 2, 2011, Pages 350-357

  Lessa, Patricia S ^a,d   Sato, João R ^b,c   Cardoso, Elisson F ^b   Neto, Carlos G ^b   Valadares, Ana Paula ^b   Amaro, Edson ^b  

^a FEDERAL UNIVERSITY OF PERNAMBUCO   (Brazil)

^b UNIVERSITY OF SÃO PAULO   (Brazil)

^c UNIVERSIDADE FEDERAL DO ABC   (Brazil)

^d HOSPITAL ISRAELITA ALBERT EINSTEIN   (Brazil)

Author keywords

Activation maps; Brain mapping; Correlation; Intersubject; Wavelets

Indexed keywords

ARTICLE; BRAIN DEPTH STIMULATION; BRAIN MAPPING; BRAIN REGION; CORRELATION ANALYSIS; CORRELATION COEFFICIENT; DATA ANALYSIS; DISCRETE WAVELET TRANSFORM; FACE; FACIAL EXPRESSION; FUNCTIONAL MAGNETIC RESONANCE IMAGING; GENERAL LINEAR MODEL; HUMAN; IMAGE PROCESSING; INTERMETHOD COMPARISON; NEUROIMAGING; NEUROPHYSIOLOGY; NORMAL HUMAN; PRIORITY JOURNAL; STATISTICAL ANALYSIS; VISUAL STIMULATION;

EID: 78650516807     PISSN: 01650270     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jneumeth.2010.09.005     Document Type: Article

References (35)

1. Alexandera M.E., Baumgartnera R., Windischberger C., Moserb E., Somorjaia R.L. Wavelet domain de-noising of time-courses in MR image sequences. Magn Reson Imaging 2000, 18:1129-1134.
2. Brammer M.J., Bullmore E.T., Simmons A., Williams S.C., Grasby P.M., Howard R.J., et al. Generic brain activation mapping in functional magnetic resonance imaging: a nonparametric approach. Magn Reson Imaging 1997, 15:736-770.
3. Bullmore E., Fadili J., Breakspear M., Salvador R., Suckling J., Brammer M. Wavelets and statistical analysis of functional magnetic resonance images of the human brain. Stat Methods Med Res 2003, 12:375-399.
4. Bullmore E., Fadili J., Maxim V., Xendur L., Whitcher B., Suckling J., et al. Wavelets and functional magnetic resonance imaging of the human brain. NeuroImage 2004, 23:234-249.
5. Buxton R.B., Wong E.C., Frank L.R. Dynamics of blood flow and oxygenation changes during brain activation: the balloon model. Magn Reson Med 1998, 39:855-864.
6. Calhoun V.D., Adali T., Pearlson G.D. Independent components analysis applied to fMRI data: a generative model for validating results. J VLSI Signal Process Syst Signal Image Video Technol 2004, 37:281-291.
7. Cardoso E.F., Fregni F., Martins Maia F., Boggio P.S., Luis Myczkowski M., Coracini K., et al. rTMS treatment for depression in Parkinson's disease increases BOLD responses in the left prefrontal cortex. Int J Neuropsychopharmacol 2008, 11:173-183.
8. Cardoso E.F., Maia F.M., Fregni F., Myczkowski M.L., Melo L.M., Sato J.R., et al. Depression in Parkinson's disease: convergence from voxel-based morphometry and functional magnetic resonance imaging in the limbic thalamus. Neuroimage 2009, 47:467-472.
9. Clare S. Magnetic resonance imaging of brain function. Methods Enzymol 2004, 385:134-148.
10. Daubechies. 10 Lectures on Wavelets, S.I.A.M. 1992.
11. Dimitriadou E., Barth M., Windischberger C., Hornik K., Moser E. A quantitative comparison of functional MRI cluster analysis. Artif Intell Med 2004, 31:57-71.
12. Donoho DL, Johnstone IM, Kerkyacharian G, Picard D, Universal near minimaxity of wavelet shrinkage, Draft: 8; 1995.
13. Ekman P., Friesen V.W. Pictures of facial affect 1976, Consulting Psychologists Press, CA.
14. Escolá R., Bonnet S., Guillemaud R., Magnin I. Wavelet-based scale-dependent detection of neurological action potentials. Conf Proc IEEE Eng Med Biol Soc 2007, 1888-1891.
15. Frackowiak R.S.J., Friston K.J., Frith C.D., Dolan R.J., Price C.J., Zeki S., et al. Human brain function 2004, Elsevier Science, New York, pp. 1144. second ed.
16. Friston K.J., Ashburner J., Kiebel S.J., Nichols T.E., Penny W.D. Statistical parametric mapping: the analysis of functional brain images 2007, Elsevier, London, pp. 256.
17. Glover G.H. Deconvolution of impulse response in event-related BOLD fMRI. NeuroImage 1999, 9:416-429.
18. Graps A. An introduction to wavelets. IEEE Computational Science and Engineering 1995, 2:1-18.
19. Handwerker D.A., Ollinger J.M., D'Espositoa M. Variation of BOLD hemodynamic responses across subjects and brain regions and their effects on statistical analyses. Neuroimage 2004, 21:1639-1651.
20. Hasson U., Nir Y., Levy I., Fuhrmann G., Malach R. Intersubject synchronization of cortical activity during natural vision. Science 2004, 303:1634-1640.
21. Haynes J.D., Deichmann R., Rees G. Eye-specific effects of binocular rivalry in the human lateral geniculate nucleus. Nature 2005, 438:496-499.
22. Haxby J.V., Hoffman E.A., Gobbini M.I. Human neural systems for face recognition and social communication. Biol Psychiatry 2002, 51:59-67.
23. Hejnar M.P., Kiehl K.A., Calhoun V.D. Interparticipant correlations: a model free FMRI analysis technique. Hum Brain Mapp 2006, 28:860-867.
24. Logothetis N.K., Pauls J., Augarth M., Trinath T., Oeltermann A. Neurophysiological investigation of the basis of the fMRI signal. Nature 2001, 412:150-157.
25. Mallat S. A wavelet tour of signal processing 1989, Elsevier, San Diego, pp. 663. second ed.
26. Malonek D., Grinvald A. Interactions between electrical activity and cortical microcirculation revealed by imaging spectroscopy: implications for functional brain mapping. Science 1996, 272:551-554.
27. McKeown M.J., Hansen L.K., Sejnowski T.J. Independent component analysis of functional MRI: what is signal and what is noise?. Curr Opin Neurobiol 2003, 13:620-629.
28. O'Connor D.H., Fukui M.M., Pinsk M.A., Kastner S. Attention modulates responses in the human lateral geniculate nucleus. Nat Neurosci 2002, 5:1203-1209.
29. Ogawa S., Lee T.M., Nayak A.S., Glynn P. Oxygenation-sensitive contrast in magnetic resonance image of brain at high magnetic fields. Mag Reson Med 1990, 14:567-569.
30. Phillips M.L., Drevets W.C., Rauch S.L., Lane R. Neurobiology of emotion perception. I. The neural basis of normal emotion perception. Biol Psychiatry 2003, 54:504-514.
31. Sato J.R., Fujita A., Amaro E., Miranda J.M., Morettin P.A., Brammer M.J. DWT-CEM: an algorithm for scale-temporal clustering in fMRI. Biol Cybern 2007, 97:33-45.
32. Suckling J., Long C., Triantafyllou C., Brammer M., Bullmore E. Variable precision registration via wavelets: optimal spatial scales for inter-subject registration of functional MRI. Neuroimage 2006, 31:197-208.
33. Talairach J., Tournoux P. Co-planar stereotaxic atlas of the human brain 1998, Thieme, New York, pp. 122.
34. Vidakovic B. Statistical modeling by wavelets 1999, John Wiley and Sons Ltd., pp. 379.
35. Windischberger C., Barth M., Lamm C., Schroeder L., Bauer H., Gur R.C., et al. Fuzzy cluster analysis of high-field functional MRI data. Artif Intell Med 2003, 29:203-223.