Information transfer efficiency during rest and task a functional connectome approach

IEEE 2014 Biomedical Circuits and Systems Conference, BioCAS 2014 - Proceedings

Volumn , Issue , 2014, Pages 101-104

  Taya, Fumihiko ^a   Sun, Yu ^a   Thakor, Nitish ^a   Bezerianos, Anastasios ^a  

^a NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

Author keywords

fMRI; functional connectivity; graph theory; oddball task; resting state; small world network

Indexed keywords

EFFICIENCY; SMALL-WORLD NETWORKS;

BRAIN FUNCTIONAL NETWORKS; EXPERIMENTAL CONDITIONS; FMRI; FUNCTIONAL CONNECTIVITY; GLOBAL AND LOCAL INFORMATIONS; ODDBALL TASK; RESTING STATE; RESTING STATE FUNCTIONAL CONNECTIVITIES;

GRAPH THEORY;

EID: 84920532099     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/BioCAS.2014.6981655     Document Type: Conference Paper

References (21)

1. M. De Luca, C. F. Beckm ann, N. De Stefano, P. M. Matthews, and S. M. Smith, " fMRI resting state networks define distinct modes of longdistance interactions in the human brain," NeuroImage, vol. 29, pp. 1359-67, 2006.
2. M. E. Raichle, a. M. MacLeod, a. Z. Snyder, W. J. Powers, D. a. Gusnard, and G. L. Shulman, " A default mode of brain function," Proceedings of the National Academy of Sciences of the United States of America, vol. 98, pp. 676-82, 2001.
3. M. E. Raichle and A. Z. Snyder, "A default mode of brain function: a brief history of an evolving idea, " NeuroImage, vol. 37, pp. 1083-90, 2007.
4. P. Fransson, " How default is the default mode of brain function Further evidence from intrinsic BOLD signal fluctuations," Neuropsychologia, vol. 44, pp. 2836-45, 2006.
5. M. D. Fox, A. Z. Snyder, J. L. Vincent, M. Corbetta, D. C. Van Essen, and M. E. Raichle, " The human brain is intrinsically organized into dynamic, anticorrelated functional networks," Proceedings of the National Academy of Sciences of the United States of America, vol. 10 2, pp. 9673-8, 2005.
6. D. M. Cole, S. M. Smith, and C. F. Beckmann, "Advances and pitfalls in the analysis and interpretation of resting-state FMRI data, " Frontiers in Systems Neuroscience, vol. 4, pp. 8, 2010.
7. B. J. He, " Scale-free properties of the functional magnetic resonance imaging signal during rest and task," Journal of Neuroscience, vol. 31, pp. 13786-95, 2011.
8. E. Bullmore and O. Sporns, "Complex brain networks: graph theoretical analysis of structural and functional systems, " Nature Reviews of Neuroscience, vol. 10, pp. 186-98, 2009.
9. D. J. Watts and S. H. Strogatz, "Collective dynamics of 'small-world' networks, " Nature, vol. 393, pp. 440-2, 1998.
10. S. Achard, R. Salvador, B. Whitcher, J. Suckling, and E. Bullmore, " A resilient, low-frequency, small-world human brain functional network with highly connected association cortical hubs," Journal of Neuroscience, vol. 26, pp. 63-72, 2006.
11. M. P. Van Den Heuvel, C. J. Stam, M. Boersma, and H. E. Hulshoff Pol, " Small-world and scale-free organization of voxel-based resting-state functional connectivity in the human brain, " NeuroImage, vol. 43, pp. 528-39, 2008.
12. V. M. V. M. Eguiluz, D. R. D. R. Chialvo, G. A. G. A. Cecchi, M. Baliki, and A. V. Apkarian, " Scale-free brain functional networks," Physical Review Letters, vol. 94, pp. 18102, 2005.
13. Y. Sun, J. Lim, K. Kwok, and A. Bezerianos, " Functional cortical connectivity analysis of mental fatigue unmasks hemispheric asymmetry and changes in small-world networks, " Brain and Cognition, vol. 85, pp. 220-30, 2014.
14. N. Tzourio-Mazoyer, B. Landeau, D. Papathanassiou, F. Crivello, O. Etard, N. Delcroix, et al., " Automated anatomical labeling of activations in SPM using a macroscopic anatomical parcellation of the MNI MRI single-subject brain, " NeuroImage, vol. 15, pp. 273-89, 2002.
15. C.-G. Yan, B. Cheung, C. Kelly, S. Colcombe, R. C. Craddock, A. Di Martino, et al., " A comprehensive assessment of regional variation in the impact of head micromovements on functional connectomics, " NeuroImage, vol. 76, pp. 183-201, 2013.
16. Y. Sun, Q. Yin, R. Fang, X. Yan, Y. Wang, A. Bezerianos, et al., " Disrupted functional brain connectivity and its association to structural connectivity in amnestic mild cognitive impairment and Alzheimer 's disease," PloS One, vol. 9, pp. e96505, 2014.
17. M. Rubinov and O. Sporns, "Complex network measures of brain connectivity: uses and interpretations, " NeuroImage, vol. 52, pp. 1059-69, 2010.
18. J.-P. Onnela, J. Saramäki, J. Kertész, and K. Kaski, " Intensity and coherence of motifs in weighted complex networks," Physical Review E, vol. 71, pp. 065103, 2005.
19. L. C. Freeman, "A set of measures of centrality based on betweenness, " Sociometry, pp. 35-41, 1977.
20. S. Achard and E. Bullmore, "Efficiency and cost of economical brain functional networks, " PLoS Computational Biology, vol. 3, pp. e17, 2007.
21. X. Di, S. Gohel, E. H. Kim, and B. B. Biswal, " Task vs. rest-different network configurations between the coactivation and the resting-state brain networks," Frontiers in Human Neuroscience, vol. 7, pp. 493, 2013.