Detection of consistently task-related activations in fMRI data with hybrid independent component analysis

NeuroImage

Volumn 11, Issue 1, 2000, Pages 24-35

  McKeown, Martin J ^a  

^a DUKE UNIVERSITY MEDICAL CENTER   (United States)

Author keywords

Data decomposition; Functional magnetic resonance imaging; Independent component analysis; Linear regression

Indexed keywords

ARTICLE; HYBRID; MODEL; NUCLEAR MAGNETIC RESONANCE IMAGING; PRIORITY JOURNAL; REGRESSION ANALYSIS; WAVEFORM;

EID: 0033950516     PISSN: 10538119     EISSN: None     Source Type: Journal    
DOI: 10.1006/nimg.1999.0518     Document Type: Article

References (20)

1. Aguirre G. K., Zarahn E., D'Esposito M. The inferential impact of global signal covariates in functional neuroimaging analyses. Neuroimage. 8:1998;302-306.
2. Bandettini P. A., Jesmanowicz A., Wong E. C., Hyde J. S. Processing strategies for time-course data sets in functional MRI of the human brain. Magn. Reson. Med. 30:1993;161-173.
3. Bell A. J., Sejnowski T. J. An information-maximization approach to blind separation and blind deconvolution. Neural Comput. 7:1995;1129-1159.
4. Cox R. W. "AFNI: Software for analysis and visualization of functional magnetic resonance neuroimages." Comput. Biomed. Res. 29:1996;162-173.
5. Dallal G. E., Wilkinson L. "An analytical approximation to the distribution of Lilliefors's test statistic for normality." Am. Stat. 40:1986;294-296.
6. Davis K. D., Taylor S. J., Crawley A. P., Wood M. W., Mikulis D. J. "Functional MRI of pain- and attention-related activations in the human cingulate cortex." J. Neurophysiol. 77:1997;3370-3380.
7. Friston K. J. Statistical parametric mapping and other analyses of functional imaging data. Toga A. W., Mazziotta J. C. Brain Mapping, The Methods. 1996;363-396 Academic Press, San Diego.
8. Friston K. J., Frith C. D., Liddle P. F., Frackowiak R. "Comparing functional (PET) images: The assessment of significant change." J. Cereb. Blood Flow Metab. 10:1991;458-466.
9. Friston K. J., Lezzard P., Turner R. "Analysis of functional MRI time-series." Hum. Brain Mapp. 1:1994;153-171.
10. Jackson J. E. A User's Guide to Principal Components. 1991;Wiley, New York.
11. Lee T., Girolami M., Sejnowski T. "Independent component analysis using an extended infomax algorithm for mixed sub-Gaussian and super-Gaussian sources." Neural Comput. 11:1999;417-441.
12. McKeown M. J., Jung T. P., Makeig S., Brown G., Kindermann S. S., Lee T. W., Sejnowski T. J. Spatially independent activity patterns in functional MRI data during the Stroop color-naming task. Proc. Natl. Acad. Sci. USA. 95:1998a;803-810.
13. McKeown M. J., Makeig S., Brown G. G., Jung T. P., Kindermann S. S., Bell A. J., Sejnowski T. J. "Analysis of fMRI data by blind separation into independent spatial components." Hum. Brain Mapp. 6:1998b;160-188.
14. McKeown M. J., Makeig S., Brown G., Kindermann S., Sejnowski T. J. "Modes or models: A critique on independent component analysis for fMRI - Reply to commentary by Prof Friston." Trends Cognit. Sci. 2:1998c;375.
15. McKeown M. J., Sejnowski T. J. "Independent component analysis of fMRI data: Examining the assumptions." Hum. Brain Mapp. 6:1998;368-372.
16. Myers R. H. Classical and Modern Regression with Applications. 1986;PWS, Boston.
17. Press W. H., Teukolsky S. A., Vetterling W. T., Flannery B. P. Numerical Recipes in C: The Art of Scientific Computing. 1992;Cambridge Univ. Press, Cambridge.
18. Townsend J., Harris N. S., Courchesne E. "Visual attention abnormalities in autism: Delayed orienting to location." J. Int. Neuropsychol. Soc. 2:1996;541-550.
19. Worsley K. J., Poline J. B., Friston K. J., Evans A. C. "Characterizing the response of PET and fMRI data using multivariate linear models." NeuroImage. 6:1997;305-319.
20. Zarahn E., Aguirre G. K., D'Esposito M. "Empirical analyses of BOLD fMRI statistics. I. Spatially unsmoothed data collected under null-hypothesis conditions." NeuroImage. 5:1997;179-197.