Nonparametric hierarchical Bayesian model for functional brain parcellation

2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops, CVPRW 2010

Volumn , Issue , 2010, Pages 15-22

  Lashkari, Danial ^a   Sridharan, Ramesh ^a   Vul, Edward ^b   Hsieh, Po Jang ^b   Kanwisher, Nancy ^b   Golland, Polina ^a  

^a MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

^b MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATIC DISCOVERY; BRAIN IMAGES; BRAIN RESPONSE; DATA-DRIVEN METHODS; FUNCTIONAL RESPONSE; FUNCTIONAL SIGNALS; GENERATIVE MODEL; HIERARCHICAL BAYESIAN MODELS; HIERARCHICAL DIRICHLET PROCESS; NON-PARAMETRIC; VISUAL CORTEXES;

BAYESIAN NETWORKS; COMPUTER VISION; TECHNICAL PRESENTATIONS;

COMPUTATIONAL METHODS;

EID: 77956541735     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPRW.2010.5543434     Document Type: Conference Paper

References (25)

1. R. Baumgartner, G. Scarth, C. Teichtmeister, R. Somorjai, and E. Moser. Fuzzy clustering of gradient-echo functional MRI in the human visual cortex. Part I: reproducibility. J Magn Reson Imaging, 7(6):1094-1108, 1997. 1
2. C. Beckmann and S. Smith. Probabilistic independent component analysis for functional magnetic resonance imaging. TMI, 23(2):137-152, 2004. 1, 8
3. C. Beckmann and S. Smith. Tensorial extensions of independent component analysis for multisubject FMRI analysis. NeuroImage, 25(1):294-311, 2005. 2, 5
4. R. Cox and A. Jesmanowicz. Real-time 3D image registration for functional MRI. Magnetic Resonance in Medicine, 42(6):1014-1018, 1999. 5
5. P. Downing, A.-Y. Chan, M. Peelen, C. Dodds, and N. Kanwisher. Domain specificity in visual cortex. Cerebral Cortex, 16(10):1453-1461, 2006. 1
6. S. Forman, J. Cohen, M. Fitzgerald, W. Eddy, M. Mintun, and D. Noll. Improved assessment of significant activation in functional magnetic resonance imaging (fMRI): use of a cluster-size threshold. Magnetic Resonance in Medicine, 33(5):636-647, 1995. 2
7. K. Friston, J. Ashburner, S. Kiebel, T. Nichols, and W. Penny, editors. Statistical Parametric Mapping: the Analysis of Functional Brain Images. Academic Press, Elsevier, 2007. 2, 5
8. P. Golland, Y. Golland, and R. Malach. Detection of spatial activation patterns as unsupervised segmentation of fMRI data. In MICCAI, 2007. 1
9. C. Goutte, P. Toft, E. Rostrup, F. Nielsen, and L. Hansen. On clustering fMRI time series. NeuroImage, 9(3):298-310, 1999. 1
10. D. Greve and B. Fischl. Accurate and robust brain image alignment using boundary-based registration. NeuroImage, 48(1):63-72, 2009. 5
11. S. Jbabdi, M. Woolrich, and T. Behrens. Multiple-subjects connectivity-based parcellation using hierarchical dirichlet process mixture models. NeuroImage, 44(2):373-384, 2009. 2
12. S. Kim and P. Smyth. Hierarchical Dirichlet processes with random effects. In NIPS, 2007. 2
13. D. Lashkari and P. Golland. Exploratory fMRI analysis without spatial normalization. In IPMI, 2009. 1
14. D. Lashkari, E. Vul, N. Kanwisher, and P. Golland. Discovering structure in the space of fMRI selectivity profiles. NeuroImage, 50(3):1085-1098, 2010. 1, 2, 5
15. S. Makni, P. Ciuciu, J. Idier, and J.-B. Poline. Joint detection-estimation of brain activity in functional MRI: a multichannel deconvolution solution. TSP, 53(9):3488-3502, 2005. 3
16. M. McKeown, S. Makeig, G. Brown, T. Jung, S. Kindermann, A. Bell, and T. Sejnowski. Analysis of fMRI data by blind separation into independent spatial components. Hum Brain Mapp, 6(3):160-188, 1998. 1
17. T. Minka. Automatic choice of dimensionality for PCA. NIPS, 2001. 6
18. J. Pitman. Poisson-Dirichlet and GEM invariant distributions for split-andmerge transformations of an interval partition. Combinatorics, Prob, Comput, 11(5):501-514, 2002. 4
19. J. Talairach and P. Tournoux. Co-planar Stereotaxic Atlas of the Human Brain. Thieme, New York, 1988. 5
20. Y. Teh, M. Jordan, M. Beal, and D. Blei. Hierarchical dirichlet processes. JASA, 101(476):1566-1581, 2006. 2, 3, 4, 5
21. Y. Teh, K. Kurihara, and M. Welling. Collapsed variational inference for HDP. In NIPS, 2008. 2, 4, 5
22. Y. Teh, D. Newman, and M.Welling. A collapsed variational Bayesian inference algorithm for latent dirichlet allocation. In NIPS, 2007. 4
23. B. Thirion and O. Faugeras. Feature characterization in fMRI data: the Information Bottleneck approach. Medical Image Analysis, 8(4):403-419, 2004. 1
24. B. Thirion, G. Flandin, P. Pinel, A. Roche, P. Ciuciu, and J. Poline. Dealing with the shortcomings of spatial normalization: Multi-subject parcellation of fMRI datasets. Hum Brain Mapp, 27(8):678-693, 2006. 1
25. B. Thirion, A. Tucholka, M. Keller, P. Pinel, A. Roche, J. Mangin, and J. Poline. High level group analysis of FMRI data based on Dirichlet process mixture models. In IPMI, 2007. 2