Using gaussian-process regression for meta-analytic neuroimaging inference based on sparse observations

IEEE Transactions on Medical Imaging

Volumn 30, Issue 7, 2011, Pages 1401-1416

  Salimi Khorshidi, Gholamreza ^a   Nichols, Thomas E ^a,b   Smith, Stephen M ^a   Woolrich, Mark W ^a  

^a UNIVERSITY OF OXFORD   (United Kingdom)

^b UNIVERSITY OF WARWICK   (United Kingdom)

Author keywords

Bayesian inference; functional neuroimaging; Gaussian processes; meta analysis

Indexed keywords

ANALYSIS RESULTS; BAYESIAN INFERENCE; BRAIN REGIONS; EFFECT SIZE; FUNCTIONAL NEUROIMAGING; GAUSSIAN PROCESSES; META-ANALYSIS; NEURO-IMAGING; SPATIAL UNCERTAINTY; STATISTIC IMAGES;

BAYESIAN NETWORKS; BRAIN; ESTIMATION; INFERENCE ENGINES;

GAUSSIAN DISTRIBUTION;

ARTICLE; BAYES THEOREM; BRAIN; COMPUTER SIMULATION; HISTOLOGY; HUMAN; META ANALYSIS; METHODOLOGY; NORMAL DISTRIBUTION; NUCLEAR MAGNETIC RESONANCE IMAGING; PHYSIOLOGY; RECEIVER OPERATING CHARACTERISTIC; REGRESSION ANALYSIS;

BAYES THEOREM; BRAIN; COMPUTER SIMULATION; HUMANS; MAGNETIC RESONANCE IMAGING; NORMAL DISTRIBUTION; REGRESSION ANALYSIS; ROC CURVE;

EID: 79959796037     PISSN: 02780062     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMI.2011.2122341     Document Type: Article

References (28)

1. A. Sutton, D. Jones, K. Abrams, T. Sheldon, and F. Song, Methodsfor Meta-analysis in Medical Research. London: John Wiley, 2000.
2. N. Lazar, B. Luna, J. A. Sweeney, and W. F. Eddy, "Combining brains: A survey of methods for statistical pooling of information," Neuro Image, vol. 16, no. 2, pp. 538-50, 2002. (Pubitemid 34852466)
3. G. Salimi-Khorshidi, S. Smith, J. Keltner, T. D. Wager, and T. E. Nichols, "Meta-analysis of neuroimaging data: A comparison of image-based and coordinate-based pooling of studies," Neuro Image, vol. 45, no. 3, pp. 810-23, Apr. 2009a.
4. C. F. Beckmann, M. Jenkinson, and S. M. Smith, "General multilevel linear modeling for group analysis in fMRI," Neuro Image, vol. 20, no. 2, pp. 1052-63, 2003. (Pubitemid 37268124)
5. M. W. Woolrich, T. E. Behrens, C. F. Beckmann, M. Jenkinson, and S. M. Smith, "Multilevel linear modelling for fMRI group analysis using Bayesian inference," Neuro Image, vol. 21,no. 4, pp. 1732-47, 2004. (Pubitemid 38446594)
6. A. Laird, J. Lancaster, and P. T. Fox, "Brainmap: The social evolution of a functional neuroimaging database," Neuroinformatics, vol. 3, pp. 65-78, 2005.
7. P. Turkeltaub, G. Eden, K. Jones, and T. A. T. Zeffiro, "Meta-analysis of the functional neuroanatomy of single-word reading: Method and validation," Neuro Image, vol. 16, no. 3.1, pp. 765-80, 2002. (Pubitemid 34852439)
8. T. D. Wager, J. Jonides, and S. Reading, "Neuroimaging studies of shifting attention: A meta-analysis," Neuro Image, vol. 22, no. 4, pp. 1679-93, 2004. (Pubitemid 38962656)
9. T. D. Wager, M. Lindquist, and L. Kapla, "Meta-analysis offunctional neuroimaging data: Current and future directions," Soc Cogn Affect Neurosci, vol. 2, no. 2, pp. 150-158, 2007.
10. S. B. Eickhoff, A. R. Laird, C. Grefkes, L. E. Wang, K. Zilles, and P. T. Fox, "Coordinate-based activation likelihood estimation meta-analysis of neuroimaging data: A random-effects approach based on empirical estimates of spatial uncertainty," Hum Brain Mapp, 2009.
11. J. Neumann, D. Cramon, and G. Lohmann, "Model-based clustering of meta-analytic functional imaging data," Hum Brain Mapp, vol. 29, no. 2, pp. 177-92, 2008. (Pubitemid 351294947)
12. S. G. Costafreda, A. S. David, and M. J. Brammer, "A parametric ap- proach to voxel-based meta-analysis," Neuro Image, vol. 46, no. 1, pp. 115-22,May2009.
13. C. Rasmussen and C. Williams, Gaussian Processes for Machine Learning. : The MIT Press, 2006.
14. M. Stein, Statistical Interpolation of Spatial Data: Some Theory for Kriging. New York: Springer, 1999.
15. A. Groves, M. Chappell, and M. W. Woolrich, "Combined spatial and non-spatial prior for inference on MRI time-series," Neuro Image, vol. 45, pp. 795-809, 2009.
16. J. Copas and J. Shi, "A sensitivity analysis for publication bias in sys- tematic reviews," StatMethods MedRes, vol. 10, pp. 251-265, 2001. (Pubitemid 32691155)
17. S. Smith, P. R. Bannister, C. Beckman, M. Brady, S. Clare, D. Flitney, P. Hansen, M. Jenkinson, D. Leibovici, B. Ripley, M. Woolrich, and J. Zhang, "FSL: New tools for functional and structural brain image analysis," Neuro Image, vol. 13, no. 6, pp. 249-249, 2001.
18. M. Jenkinson, P. Bannister, M. Brady, and S. Smith, "Improved optimization for the robust and accurate linear registration and motion correction of brain images," Neuro Image, vol. 17, no. 2, pp. 825-41, 2002. (Pubitemid 35317016)
19. M. W. Woolrich, B. D. Ripley, M. Brady, and S. M. Smith, "Temporal autocorrelation in univariate linear modeling of FMRI data," Neuro Image, vol. 14, no. 6, pp. 1370-86, 2001. (Pubitemid 33124185)
20. M. Jenkinson and S. Smith, "A global optimisation method for robust affine registration of brain images," Med Image Anal, vol. 5, no. 2, pp. 143-56, 2001. (Pubitemid 35282800)
21. L. Dice, "Measures of the amount of ecologic association between species," Ecology, vol. 26, no. 3, pp. 297-302, 1945.
22. S. M. Smith and T. E. Nichols, "Threshold-free cluster enhancement: Addressing problems of smoothing, threshold dependence and local- isation in cluster inference," Neuro Image, vol. 44, no. 1, pp. 83-98, 2009.
23. P. Bunch, J. Hamilton, G. Sanderson, and J. Hamilton, "A free response approach to the measurement and characterization of radiographic observer performance," J. Appl. Photogr. Eng, vol. 4, pp. 166-172, 1978.
24. G. Salimi-Khorshidi, S. Smith, and T. E. Nichols, "Bias and hetero- geneity in neuroimaging meta-analysis," in 15th Annual Meeting ofthe Organization for Human Brain MappingAbstracts Online, 2009, vol. SA-PM, p. 406.
25. F. A. Nielsen, "Visualizing data mining results with the brede tools," Frontiers in Neuroinformatics, vol. 3, no. 26, 2009.
26. K. L. Phan, T. Wager, S. F. Taylor, and I. Liberzon, "Functional neu- roanatomy of emotion: A meta-analysis of emotion activation studies in PET and fMRI," Neuro Image, vol. 16, no. 2, pp. 331-48, Jun. 2002. (Pubitemid 34852450)
27. F. A. Nielsen and L. K. Hansen, "Modeling of activation data in the brainmap database: Detection of outliers," Hum Brain Mapp, vol. 15, no. 3, pp. 146-56, 2002. (Pubitemid 34194646)
28. F. Nielsen and L. K. Hansen, "Finding related functional neuroimaging volumes," ArtifIntell Med, vol. 30, no. 2, pp. 141-51, 2004. (Pubitemid 38283607)