Detecting brain state changes via fiber-centered functional connectivity analysis

Neuroinformatics

Volumn 11, Issue 2, 2013, Pages 193-210

  Li, Xiang ^a   Lim, Chulwoo ^a   Li, Kaiming ^a,b   Guo, Lei ^b   Liu, Tianming ^a  

^a Boyd GSRC 420 ^*  (United States)

^b NORTHWESTERN POLYTECHNICAL UNIVERSITY   (China)

Author keywords

Brain connectivity; Brain state change; Diffusion tensor imaging; Functional MRI

Indexed keywords

OXYGEN;

ALGORITHM; ARTICLE; BIOLOGICAL MODEL; BLOOD; BRAIN; BRAIN MAPPING; CLUSTER ANALYSIS; DIFFUSION TENSOR IMAGING; HUMAN; IMAGE PROCESSING; MYELINATED NERVE; NERVE CELL NETWORK; NERVE TRACT; NONLINEAR SYSTEM; NUCLEAR MAGNETIC RESONANCE IMAGING; PERCEPTIVE DISCRIMINATION; PHYSIOLOGY; VASCULARIZATION;

ALGORITHMS; BRAIN; BRAIN MAPPING; CLUSTER ANALYSIS; DIFFUSION TENSOR IMAGING; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MODELS, NEUROLOGICAL; NERVE FIBERS, MYELINATED; NERVE NET; NEURAL PATHWAYS; NONLINEAR DYNAMICS; OXYGEN; SIGNAL DETECTION, PSYCHOLOGICAL;

EID: 84880572953     PISSN: 15392791     EISSN: None     Source Type: Journal    
DOI: 10.1007/s12021-012-9157-y     Document Type: Article

References (47)

1. Amunts, K.; Malikovic, A.; Mohlberg, H.; Schormann, T.; & Zilles, K. (2000). Brodmann's areas 17 and 18 brought into stereotaxic space-where and how variable? NeuroImage, 11(1), 66-84.
2. Avants, B. B.; Epstein, C. L.; Grossman, M.; & Gee, J. C. (2008). Symmetric diffeomorphic image registration with cross-correlation: evaluating automated labeling of elderly and neurodegenerative brain. Medical Image Analysis, 12, 26-41.
3. Bassett, D. S.; Wymbs, N. F.; Porter, M. A.; Mucha, P. J.; Carlson, J. M.; & Grafton, S. T. (2011). Dynamic reconfiguration of human brain networks during learning. PNAS, 108(18), 7641-7646.
4. Beckmann, C. F.; DeLuca, M.; Devlin, J. T.; & Smith, S. M. (2005). Investigations into resting-state connectivity using independent component analysis. Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences, 360, 1001-1013.
5. Biswal, B. B.; Mennes, M.; & Zuo, X. N. et al. (2010). Toward discovery science of human brain function. Proceedings of the National Academy of Sciences, 107(10), 4734-4739.
6. Bullmore, E.; & Sporns, O. (2009). Complex brain networks: graph theoretical analysis of structural and functional systems. Nature Reviews Neuroscience, 10, 186-198.
7. Chang, C.; & Glover, G. H. (2010). Time-frequency dynamics of resting-state brain connectivity measured with fMRI. NeuroImage, 50, 81-98.
8. Calhoun, V. D.; Pekar, J. J.; & Pearlson, G. D. (2004). Alcohol intoxication effects on simulated driving: exploring alcohol-dose effects on brain activation using functional MRI. Neuropsychopharmacology, 29, 2097-3017.
9. Dickerson, B. C.; & Sperling, R. A. (2009). Large-scale functional brain network abnormalities in Alzheimer's disease: insights from functional neuroimaging. Behavioural Neurology, 21, 63-75.
10. Faraco, C. C.; Unsworth, N.; Langley, J.; Terry, D.; Li, K.; Zhang, D.; Liu, T.; & Miller, L. S. (2011). Complex span tasks and hippocampal recruitment during working memory. NeuroImage, 55(2), 773-787.
11. Friston, K. J.; Harrison, L.; & Penny, W. (2003). Dynamic causal modeling. NeuroImage, 19, 1273-1302.
12. Fox, M. D.; & Raichle, M. E. (2007). Spontaneous fluctuations in brain activity observed with functional magnetic resonance imaging. Nature Reviews Neuroscience, 8, 700-711.
13. Gao, J.-H.; & Yee, S.-H. (2003). Iterative temporal clustering analysis for the detection of multiple response peaks in fMRI. Magnetic Resonance Imaging, 21, 51-53.
14. Gilbert, C. D.; & Sigman, M. (2007). Brain states: top-down influences in sensory processing. Neuron, 54, 677-696.
15. Hagmann, P.; Cammoun, L.; Gigandet, X.; Gerhard, S.; Ellen Grant, P.; Wedeen, V.; Meuli, R.; Thiran, J.-P.; Honey, C. J.; & Sporns, O. (2010). MR connectomics: principles and challenges. Journal of Neuroscience Methods, 194, 34-45.
16. Honey, C. J.; Sporns, O.; Cammoun, L.; Gigandet, X.; Thiran, J. P.; Meuli, R.; & Hagmann, P. (2009). Predicting human resting-state functional connectivity from structural connectivity. Proceedings of the National Academy of Sciences, 106, 2035-2040.
17. Hu, X.; Deng, F.; Li, K.; Zhang, T.; Chen, H.; Jiang, X.; Lv, J.; Zhu, D.; Faraco, C.; Zhang, D.; Mesbah, A.; Han, J.; Hua, X.; Xie, L.; Miller, S.; Guo, L.; & Liu, T. (2010). Bridging low-level features and high-level semantics via fMRI brain imaging for video classification. Proceedings of the international conference on Multimedia (pp. 451-460). Firenze, Italy: ACM.
18. Hu, X.; Li, K.; Han, J.; Hua, X.-S.; Guo, L.; & Liu, T. (2012). Bridging the semantic gap via functional brain imaging, IEEE Transactions on Multimedia, 14(2): 314-325
19. Hu, X.; Guo, L.; Zhang, D.; Li, K.; Zhang, T.; Lv, J.; Han, J.; Liu, T. (2011). Assessing the dynamics on functional brain networks using spectral graph theory. Proceedings of the 2010 IEEE international symposium Biomedical imaging: From nano to Macro (pp. 2144-2149). Rotterdam, Netherlands: IEEE Press.
20. Kennedy, D. N. (2010). Making connections in the connectome era. Neuroinformatics, 8(2), 61-62.
21. Li, K.; Guo, L.; Li, G.; Nie, J.; Faraco, C.; Zhao, Q.; Miller, L. S.; & Liu, T. (2010). Cortical surface based identification of brain networks using high spatial resolution resting state FMRI data. Proceedings of the 2010 IEEE international symposium on Biomedical imaging: From nano to Macro (pp. 656-659). Rotterdam, Netherlands: IEEE Press.
22. Li, X.; Li, K.; Guo, L.; Lim, C.; & Liu, T. (2011). Fiber-centered granger causality analysis. Proceedings of the 14th international conference on Medical image computing and computerassisted intervention. (pp. 14(Pt 2):251-259.) Springer, Germany.
23. Li, K.; Guo, L.; Zhu, D.; Hu, X.; Han, J.; & Liu, T. (2012). Individual functional ROI optimization via maximization of group-wise consistency of structural and functional profiles. Neuroinformatics, 10, 225-242.
24. Lindquist, M. A.; Waugh, C.; & Wager, T. D. (2007). Modeling state-related fMRI activity using change-point theory. NeuroImage, 35, 1125-1141.
25. Liu, T.; Li, H.; Wong, K.; Tarokh, A.; Guo, L.; & Wong, S. T. C. (2007). Brain tissue segmentation based on DTI data. NeuroImage, 38, 114-123.
26. Liu, T.; Nie, J.; Tarokh, A.; Guo, L.; & Wong, S. (2008). Reconstruction of Central Cortical Surface from MRI Brain Images: Method and Application. NeuroImage, 40(3), 991-1002.
27. Liu, T. (2011). A few thoughts on brain ROIs. Brain Imaging and Behavior, 5, 189-202.
28. Lim, C.; Li, X.; Li, K.; Guo, L.; & Liu, T. (2011). Brain state change detection via fiber-centered functional connectivity analysis, Biomedical Imaging: From Nano to Macro, 2011 IEEE International Symposium on, 2155-2160.
29. Lv, J.; Guo, L.; Hu, X.; Zhang, T.; Li, K.; Zhang, D.; et al. (2010). Fiber-centered analysis of brain connectivity using DTI and resting state FMRI data. In: T. Jiang, N. Navab, J. Pluim, & M. Viergever, (Eds.), Medical Image Computing and Computer-Assisted Intervention - MICCAI 2010 (pp. 143-150). Springer Berlin/Heidelberg.
30. Lynall, M. E.; Bassett, D. S.; Kerwin, R.; McKenna, P. J.; Kitzbichler, M.; Muller, U.; & Bullmore, E. (2010). Functional connectivity and brain networks in schizophrenia. Journal of Neuroscience, 30(28), 9477-9487.
31. Majeed, W.; Magnuson, M.; Hasenkamp, W.; Schwarb, H.; Schumacher, E. H.; Barsalou, L.; & Keilholz, S. D. (2011). Spatiotemporal dynamics of low frequency BOLD fluctuations in rats and humans. NeuroImage, 54, 1140-1150.
32. Morgan, V. L.; Price, R. R.; Arain, A.; Modur, P.; & Abou-Khalil, B. (2004). Resting functional MRI with temporal clustering analysis for localization of epileptic activity without EEG. NeuroImage, 21, 473-481.
33. Passingham, R. E.; Stephan, K. E.; & Kotter, R. (2002). The anatomical basis of functional localization in the cortex. Nature Reviews Neuroscience, 3, 606-616.
34. Robinson, L. F.; Wager, T. D.; & Lindquist, M. A. (2010). Change point estimation in multi-subject fMRI studies. NeuroImage, 49, 1581-1592.
35. Saxe, R.; Brett, M.; & Kanwisher, N. (2006). Divide and conquer: a defense of functional localizers. Neuroimage, 30, 1088-1096.
36. Shen, D.; & Davatzikos, C. (2002). HAMMER: hierarchical attribute matching mechanism for elastic registration. IEEE Trans. on Medical Imaging, 21(11), 1421-1439.
37. Smith, S. M.; Miller, K. L.; Salimi-Khorshidi, G.; Webster, M.; Beckmann, C. F.; Nichols, T. E.; Ramsey, J. D.; & Woolrich, M. W. (2011). Network modelling methods for FMRI. NeuroImage, 54, 875-891.
38. Sporns, O.; Tononi, G.; & Kötter, R. (2005). The human connectome: a structural description of the human brain. PLoS Computational Biology, 1, e42.
39. Thompson, P. M.; & Toga, A. W. (1996). A surface-based technique for 1336 warping 3-dimensional images of the brain. IEEE Transaction on Medical Imaging, 15(4), 1-16.
40. Tsunoda, K.; Yamane, Y.; Nishizaki, M.; & Tanifuji, M. (2001). Complex objects are represented in macaque inferotemporal cortex by the combination of feature columns. Nature Neuroscience, 4, 832-838.
41. Van Dijk, K. R. A.; Hedden, T.; Venkataraman, A.; Evans, K. C.; Lazar, S. W.; & Buckner, R. L. (2010). Intrinsic functional connectivity as a tool for human connectomics: theory, properties, and optimization. Journal of Neurophysiology, 103, 297-321.
42. Wang, L.; Zang, Y.; He, Y.; Liang, M.; Zhang, X.; Tian, L.; Wu, T.; Jiang, T.; & Li, K. (2006). Changes in hippocampal connectivity in the early stages of Alzheimer's disease: Evidence from resting state fMRI. NeuroImage, 31, 496-504.
43. Zalesky, A.; Fornito, A.; & Bullmore, E. T. (2010). Network-based statistic: identifying differences in brain networks. NeuroImage, 53, 1197-1207.
44. Zang, Y.; Jiang, T.; Lu, Y.; He, Y.; & Tian, L. (2004). Regional homogeneity approach to fMRI data analysis. NeuroImage, 22, 394-400.
45. Zhang, T.; Guo, L.; Hu, X.; Li, K.; Jin, C.; Cui, G.; et al. (2011). Predicting functional cortical ROIs via DTI-derived fiber shape models. Cerebral Cortex, in press.
46. Zhu, D.; Li, K.; Faraco, C.; Deng, F.; Zhang, D.; Jiang, X.; et al. (2011). Optimization of functional brain ROIs via maximization of consistency of structural connectivity profiles, NeuroImage, in press.
47. Zhu, D.; Li, K.; Guo, L.; Jiang, X.; Zhang, T.; Zhang, D.; et al. (2012). DICCCOL: Dense Individualized and Common Connectivity-based Cortical Landmarks,*Joint first authors, accepted, Cerebral Cortex.