Characterization of connectivity dynamics in intrinsic brain networks

2013 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2013 - Proceedings

Volumn , Issue , 2013, Pages 831-834

  Calhoun, Vince ^a,b   Yaesoubi, Maziar ^a,b   Rashid, Barnaly ^a,b   Miller, Robyn ^a  

^a MIND RESEARCH NETWORK   (United States)

^b UNIVERSITY OF NEW MEXICO   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BRAIN ACTIVITY; BRAIN NETWORKS; NETWORK DYNAMICS; NEURAL RECORDINGS; NON-STATIONARITIES; RESTING-STATE FUNCTIONAL CONNECTIVITIES; TEMPORAL DYNAMICS; TEMPORAL VARIABILITY;

DATA PROCESSING; NEUROPHYSIOLOGY;

DYNAMICS;

EID: 84897723988     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/GlobalSIP.2013.6737020     Document Type: Conference Paper

References (32)

1. Biswal, B., et al., Functional connectivity in the motor cortex of resting human brain using echoplanar mri. Magnetic resonance in medicine, 1995. 34(4): p. 537-541.
2. Cordes, D., et al., Frequencies contributing to functional connectivity in the cerebral cortex in "resting-state" data. American Journal of Neuroradiology, 2001. 22(7): p. 1326-1333.
3. Honey, C., et al., Predicting human resting-state functional connectivity from structural connectivity. Proceedings of the National Academy of Sciences, 2009. 106(6): p. 2035-2040.
4. Buckner, R. L., J. R. Andrews Hanna, and D. L. Schacter, The brain's default network. Annals of the New York Academy of Sciences, 2008. 1124(1): p. 1-38.
5. Raichle, M. E., et al., A default mode of brain function. Proceedings of the National Academy of Sciences, 2001. 98(2): p. 676-682.
6. Corbetta, M. and G. L. Shulman, Control of goal-directed and stimulus-driven attention in the brain. Nature reviews neuroscience, 2002. 3(3): p. 201-215.
7. Fox, M. D., et al., Spontaneous neuronal activity distinguishes human dorsal and ventral attention systems. Proceedings of the National Academy of Sciences, 2006. 103(26): p. 10046-10051.
8. Vincent, J. L., et al., Evidence for a frontoparietal control system revealed by intrinsic functional connectivity. Journal of neurophysiology, 2008. 100(6): p. 3328-3342.
9. Seeley, W. W., et al., Dissociable intrinsic connectivity networks for salience processing and executive control. The Journal of neuroscience, 2007. 27(9): p. 2349-2356.
10. Abou?Elseoud, A., et al., The effect of model order selection in group PICA. Human brain mapping, 2010. 31(8): p. 1207-1216.
11. Allen, E. A., et al., A baseline for the multivariate comparison of resting-state networks. Frontiers in systems neuroscience, 2011. 5.
12. Kiviniemi, V., et al., Functional segmentation of the brain cortex using high model order group PICA. Human brain mapping, 2009. 30(12): p. 3865-3886.
13. Calhoun, V. D., K. A. Kiehl, and G. D. Pearlson, Modulation of temporally coherent brain networks estimated using ICA at rest and during cognitive tasks. Human brain mapping, 2008. 29(7): p. 828-838.
14. Smith, S. M., et al., Correspondence of the brain's functional architecture during activation and rest. Proceedings of the National Academy of Sciences, 2009. 106(31): p. 13040-13045.
15. Rabinovi, M. I., K. J. Friston, and P. Varona, Principles of brain dynamics: global state interactions. 2012: MIT Press.
16. Von der Malsburg, C., W. A. Phillips, and W. Singer, Dynamic coordination in the brain: from neurons to mind. 2010: The MIT Press.
17. Arieli, A., et al., Dynamics of ongoing activity: explanation of the large variability in evoked cortical responses. Science, 1996. 273(5283): p. 1868-1871.
18. Makeig, S., et al., Mining event-related brain dynamics. Trends in cognitive sciences, 2004. 8(5): p. 204-210.
19. Onton, J., et al., Imaging human EEG dynamics using independent component analysis. Neuroscience & Biobehavioral Reviews, 2006. 30(6): p. 808-822.
20. Jones, D. T., et al., Non-stationarity in the "resting brain's" modular architecture. PloS one, 2012. 7(6): p. e39731.
21. Sakolu, Ü., et al., A method for evaluating dynamic functional network connectivity and task-modulation: application to schizophrenia. Magnetic Resonance Materials in Physics, Biology and Medicine, 2010. 23(5-6): p. 351-366.
22. Allen, E. A., et al., Tracking whole-brain connectivity dynamics in the resting state. Cerebral Cortex, 2012.
23. Hutchison, R. M., et al., Restingstate networks show dynamic functional connectivity in awake humans and anesthetized macaques. Human brain mapping, 2012.
24. Kiviniemi, V., et al., A sliding time-window ICA reveals spatial variability of the default mode network in time. Brain connectivity, 2011. 1(4): p. 339-347.
25. Horwitz, B., The elusive concept of brain connectivity. Neuroimage, 2003. 19(2): p. 466-470.
26. Cullen, K. R., et al., Amygdala functional connectivity in young women with borderline personality disorder. Brain connectivity, 2011. 1(1): p. 61-71.
27. Lu, H., et al., Synchronized delta oscillations correlate with the resting-state functional MRI signal. Proceedings of the National Academy of Sciences, 2007. 104(46): p. 18265-18269.
28. Sakoglu, U. and V. Calhoun, Temporal dynamics of functional network connectivity at rest: A comparison of schizophrenia patients and healthy controls. Neuroimage, 2009. 47(1): p. S169.
29. Sakoglu, U., A. Michael, and V. Calhoun, Classification of schizophrenia patients vs healthy controls with dynamic functional network connectivity. Neuroimage, 2009. 47(1): p. S57.
30. Damaraju, E., et al. Static and dynamic functional network connectivity during resting state in schizophrenia. in American College of Neuropsychopharmacology. 2012. Hollywood,CA.
31. Torrence, C. and G. P. Compo, A practical guide to wavelet analysis. Bulletin of the American Meteorological society, 1998. 79(1): p. 61-78.
32. Chang, C. and G. H. Glover, Time-frequency dynamics of resting-state brain connectivity measured with fMRI. Neuroimage, 2010. 50(1): p. 81-98.