Skip to main content

Assessing Structural Organization and Functional Interaction in Gyral, Sulcal and Cortical Networks

  • Conference paper
  • 1631 Accesses

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 8159))

Abstract

Literature studies showed that the fibers connected to gyri are significantly denser than those connected to sulci. Therefore, we hypothesize that gyral, sulcal and cortical brain networks might exhibit different graph properties and functional interactions that reflect the organizational principles of cortical architecture. In this way, we evaluated the graphical properties of the structural brain networks and the functional connectivities among brain networks which are composed of gyral regions of interest (ROI) (G-networks), sulcal ROIs (S-networks) and mixed gyral and sulcal ROIs (C-networks). The results demonstrated that G-networks have the highest global and local economical properties and the strongest small-worldness. In contrast, S-networks have the lowest global and local economical properties and the weakest small-worldness. Meanwhile, the overall functional connectivity strength among G-networks is stronger than those in S-networks, and those in C-networks are in between. The results indicate that gyri may play a hub role in human brains.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Nie, J., Guo, L., Li, K., Wang, Y., et al.: Axonal Fiber Terminations Concentrate on Gyri. Cerebral Cortex 22(12), 2831–2839 (2011)

    Article  Google Scholar 

  2. Chen, H., Zhang, T., Guo, L., Liu, T., et al.: Coevolution of Gyral Folding and Structural Connection Patterns in Primate Brains. Cerebral Cortex 23(5), 1208–1217 (2013)

    Article  Google Scholar 

  3. Deng, F., Jiang, X., Zhu, D., Zhang, T., Li, K., Guo, L., Liu, T.: A Functional Model of Cortical Gyri and Sulci. Brain Structure and Function (in press, 2013)

    Google Scholar 

  4. Rubinov, M., Sporns, O.: Complex network measures of brain connectivity: Uses and interpretations. NeuroImage 52(3), 1059–1069 (2010)

    Article  Google Scholar 

  5. Humphries, M.D., Gurney, K.: Network ‘small-world-ness’: a quantitative method for determining canonical network equivalence. PLoS ONE 3(4), e0002051(2008)

    Google Scholar 

  6. http://www-sop.inria.fr/asclepios/software/MedINRIA/

  7. Liu, T., Li, H., Wong, K., Tarokh, A., Guo, L., Wong, S.T.C.: Brain Tissue Segmentation Based on DTI Data. NeuroImage 38(1), 114–123 (2007)

    Article  Google Scholar 

  8. Liu, T., Nie, J., Tarokh, A., Guo, L., Wong, S.: Reconstruction of Central Cortical Surface from MRI Brain Images: Method and Application. NeuroImage 40(3), 991–1002 (2008)

    Article  Google Scholar 

  9. Li, K., Guo, L., Li, G., Nie, J., Faraco, C., Zhao, Q., Miller, L.S., Liu, T.: Gyral folding pattern analysis via surface profiling. NeuroImage 52(4), 1202–1214 (2010)

    Article  Google Scholar 

  10. Zalesky, A., Fornito, A., Harding, I.H., Cocchi, L., Yücel, M.: Whole-brain anatomical networks: Does the choice of nodes matter? NeuroImage 50, 970–983 (2010)

    Article  Google Scholar 

  11. Hagmann, P., Kurant, M., Gigandet, X., Thiran, P., et al.: Mapping human whole-brain structural networks with diffusion MRI. PLoS ONE 2(7), e597 (2007)

    Google Scholar 

  12. Torrence, C., Compo, G.P.: A practical guide to wavelet analysis. Bull. Amer. Meteor. Soc. 79(1), 61–78 (1998)

    Article  Google Scholar 

  13. Chang, C., Glover, G.H.: Time-frequency dynamics of resting-state brain connectivity measured with fMRI. NeuroImage 50(1), 81–98 (2010)

    Article  Google Scholar 

  14. Deng, F., Zhu, D., Liu, T.: Optimization of fMRI-derived ROIs based on coherent Functional Interaction Patterns. In: Ayache, N., Delingette, H., Golland, P., Mori, K. (eds.) MICCAI 2012, Part III. LNCS, vol. 7512, pp. 214–222. Springer, Heidelberg (2012)

    Chapter  Google Scholar 

  15. Achard, S., Bullmore, E.: Efficiency and cost of economical brain functional networks. PLoS Comput. Biol. 3(2), e17 (2007)

    Google Scholar 

  16. Bullmore, E., Sporns, O.: Complex brain networks: graph theoretical analysis of structural and functional systems. Nat. Rev. Neurosci. 10(3), 186–198 (2009)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer International Publishing Switzerland

About this paper

Cite this paper

Li, X., Hu, X., Jiang, X., Guo, L., Han, J., Liu, T. (2013). Assessing Structural Organization and Functional Interaction in Gyral, Sulcal and Cortical Networks. In: Shen, L., Liu, T., Yap, PT., Huang, H., Shen, D., Westin, CF. (eds) Multimodal Brain Image Analysis. MBIA 2013. Lecture Notes in Computer Science, vol 8159. Springer, Cham. https://doi.org/10.1007/978-3-319-02126-3_2

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-02126-3_2

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-02125-6

  • Online ISBN: 978-3-319-02126-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics