Individualized ROI optimization via maximization of group-wise consistency of structural and functional profiles

Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010, NIPS 2010

Volumn , Issue , 2010, Pages

  Li, Kaiming ^a,b   Guo, Lei ^a   Faraco, Carlos ^c   Zhu, Dajiang ^b   Deng, Fan ^b   Zhang, Tuo ^a   Jiang, Xi ^a   Zhang, Degang ^a   Chen, Hanbo ^a   Hu, Xintao ^a   Miller, Steve ^c   Liu, Tianming ^b  

^a NORTHWESTERN POLYTECHNICAL UNIVERSITY   (China)

^b University of Georgia ^*  (United States)

^c UNIVERSITY OF GEORGIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BRAIN; SHAPE OPTIMIZATION;

BRAIN NETWORKS; BRAIN REGIONS; CONNECTIVITY PATTERN; FUNDAMENTAL CHARACTERISTICS; HUMAN BRAIN; OPTIMISATIONS; REGION-OF-INTEREST; REGIONS OF INTEREST; SEGREGATED REGIONS; SIZE AND SHAPE;

SIMULATED ANNEALING;

EID: 85162358118     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (24)

1. Friston, K., Modalities, modes, and models in functional neuroimaging. Science, vol.326, no.5951, 399-403(2009).
2. Bharat B. Biswal, Toward discovery science of human brain function, PNAS March 9, 2010 vol. 107 no. 10 4734-4739.
3. Sporns O, Tononi G, Kotter R, The human connectome: A structural description of the human brain. PLoS Comput Biol. 2005 Sep; 1(4): e42.
4. Van Dijk KR, Hedden T, Venkataraman A, Evans KC, Lazar SW, Buckner RL, Intrinsic functional connectivity as a tool for human connectomics: theory, properties, and optimization. J Neurophysiol. 2010 Jan; 103(1): 297-321.
5. Hagmann P, et al., MR connectomics: Principles and challenges. J Neurosci Methods. 2010 Jan 22.
6. Friston K, J. et al., Dynamic causal modeling, Neuroimage, 19, 1273-1302, 2003.
7. http://www.humanconnectomeproject.org/
8. http://www.nitrc.org/projects/fcon-1000/
9. Goebel,R., et al., Investigating directed cortical interactions in time-resolved fMRI data using vector autoregressive modeling and Granger causality mapping. Magnetic Resonance Imaging, Volume 21, Issue 10, December 2003, Pages 1251-1261
10. Harrison L, et al., Multivariate autoregressive modeling of fMRI time series, NeuroImage, Volume 19, Issue 4, August 2003, Pages 1477-1491
11. Zang, Y., et al., "Regional homogeneity approach to fMRI data analysis," NeuroImage, 22(1): p. 394-400, 2004.
12. Jenkinson, M., Bannister, P., Brady, M., Smith, S., 2002. Improved optimization for the robust and accurate linear registration and motion correction of brain images. Neuroimage 17, 825-841.
13. Friedman, L., and Glover, G.H. (2006). Report on a Multicenter fMRI Quality Assurance Protocol. Journal of Magnetic Resonance in Imaging, 23(6):827-839.
14. H.J. Jo, J.M. Lee, J.H. Kim, C.H. Choi, B.M. Gu and D.H. Kang et al., Artificial shifting of fMRI activation localized by volume- and surface-based analyses, NeuroImage 40 (3) (2008), pp. 1077-1089.
15. W. Ou, W.M. Wells III, and P. Golland. Combining Spatial Priors and Anatomical Information for fMRI Detection. Medical Image Analysis, 14(3):318-331, 2010.
16. Tianming Liu, Hai Li, Kelvin Wong, Ashley Tarokh, Lei Guo, Stephen Wong, Brain Tissue Segmentation Based on DTI Data, NeuroImage, 38(1):114-23, 2007.
17. Shen, D., et al., 2002. HAMMER: hierarchical attribute matching mechanism for elastic registration. IEEE Trans Med Imaging 21(11), 1421-39.
18. Li K, et al., Cortical surface based identification of brain networks using high spatial resolution resting state fMRI data, International Symposium of Biomedical Imaging (ISBI) 2010.DOI: 10.1109/ISBI.2010.5490089 .
19. Passingham RE, et al., The anatomical basis of functional localization in the cortex. Nat Rev Neurosci. 3(8):606-16. 2002.
20. Van Essen, D.: A tension-based theory of morphogenesis and compact wiring in the central nervous system. Nature 385:313-318 (1997).
21. M.D. Fox and M.E. Raichle, "Spontaneous fluctuations in brain activity observed with functional magnetic resonance imaging", Nat Rev Neurosci 8:700-711, 2007.
22. Van Dijk KR, Hedden T, Venkataraman A, Evans KC, Lazar SW, Buckner RL, Intrinsic functional connectivity as a tool for human connectomics: theory, properties, and optimization. J Neurophysiol. 2010 Jan; 103(1): 297-321.
23. V. Granville, et al., Simulated annealing: A proof of convergence". IEEE Transactions on PAMI 16 (6): 652-656. June 1994.
24. Honey CJ, Sporns O, Cammoun L, Gigandet X, Thiran JP, Meuli R, Hagmann P. Predicting human resting-state functional connectivity from structural connectivity. PNAS, 106(6):2035-40. 2009.