Abstract
Researches of neuroimaging have revealed that there are many differences between left hemisphere and right hemisphere both in anatomical structure and in cognitive function. However, little is known about the topological organization of the functional networks of the two hemispheres. In the present study, we used functional magnetic resonance imaging to examine the topological organization and hemispheric differences in the functional networks in the two hemispheres. Analysis of asymmetry on functional networks was performed on a group of 192 healthy right-handed Chinese subjects. It revealed that both left and right hemisphere showed small-worldness features. We also found a significant rightward asymmetry on clustering coefficients and characteristic path length, a significant leftward asymmetry on global efficiency. In addition, the right hemisphere shows a stronger tendency of organizational modularity. These results may explain some differences in behaviors and cognition.
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Toga, A.W., Thompson, P.M.: Mapping brain asymmetry. Nat. Rev. Neurosci. 4, 37–48 (2003)
Smith, D.V., Clithero, J.A., Rorden, C., Karnath, H.O.: Decoding the anatomical network of spatial attention. Proc. Nat. Acad. Sci. USA 110, 1518–1523 (2013)
Halligan, P.W., Fink, G.R., Marshall, J.C., Vallar, G.: Spatial cognition: evidence from visual neglect. Trends Cogn. Sci. 7, 125–133 (2003)
Reijneveld, J.C., Ponten, S.C., Berendse, H.W., Stam, C.J.: The application of graph theoretical analysis to complex networks in the brain. Clin. Neurophysiol. 118, 2317–2331 (2007)
He, Y., Evans, A.: Graph theoretical modeling of brain connectivity. Curr. Opin. Neurol. 23, 341–350 (2010)
Li, M., Chen, H., Wang, J., Liu, F., Long, Z., Wang, Y., Iturria-Medina, Y., Zhang, J., Yu, C., Chen, H.: Handedness-and hemisphere-related differences in small-world brain networks: a diffusion tensor imaging tractography study. Brain Connectivity 4, 145–156 (2014)
Iturria-Medina, Y., Perez Fernandez, A., Morris, D.M., Canales-Rodriguez, E.J., Haroon, H.A., Garcia Penton, L., Augath, M., Galan Garcia, L., Logothetis, N., Parker, G.J., Melie-Garcia, L.: Brain hemispheric structural efficiency and interconnectivity rightward asymmetry in human and nonhuman primates. Cereb. Cortex 21, 56–67 (2011)
Bassett, D.S., Meyer-Lindenberg, A., Achard, S., Duke, T., Bullmore, E.: Adaptive reconfiguration of fractal small-world human brain functional networks. Proc. Nat. Acad. Sci. USA 103, 19518–19523 (2006)
He, Y., Chen, Z., Evans, A.: Structural insights into aberrant topological patterns of large-scale cortical networks in Alzheimer’s disease. J. Neurosci. 28, 4756–4766 (2008)
Tian, L., Wang, J., Yan, C., He, Y.: Hemisphere-and gender-related differences in small-world brain networks: a resting-state functional MRI study. Neuroimage 54, 191–202 (2011)
Caeyenberghs, K., Leemans, A.: Hemispheric lateralization of topological organization in structural brain networks. Hum. Brain Mapp. 35, 4944–4957 (2014)
Newman, M.E., Girvan, M.: Finding and evaluating community structure in networks. Phys. Rev. E: Stat., Nonlin, Soft Matter Phys. 69, 026113 (2004)
Acknowledgments
This work was supported by the National Natural Science Foundation of China (61503272, 61373101) and Postdoctoral Science Foundation of Shanxi Medical University.
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Shang, W. et al. (2017). Hemispheric Asymmetry of the Functional Brain Connectome. In: Sun, F., Liu, H., Hu, D. (eds) Cognitive Systems and Signal Processing. ICCSIP 2016. Communications in Computer and Information Science, vol 710. Springer, Singapore. https://doi.org/10.1007/978-981-10-5230-9_52
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DOI: https://doi.org/10.1007/978-981-10-5230-9_52
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