Advertisement

Identification of Abnormal Cortical 3-Hinge Folding Patterns on Autism Spectral Brains

  • Ying Huang
  • Zhibin He
  • Tianming Liu
  • Lei Guo
  • Tuo ZhangEmail author
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11846)

Abstract

Cortical folding has been demonstrated to be correlated with brain connective diagrams and functions. Identifying meaningful cortical folding patterns and landmarks could be valuable for understanding the relation between brain structure and function, the mechanism of brain organization. It also facilitates brain disease studies such as autism spectral disease (ASD), which in turn provides valuable clues to relate the abnormal folding morphology to abnormal brain function. Recently, a novel cortical folding pattern was identified, which is the conjunction of multiple gyri, termed as a gyral hinge. The uniqueness and importance of such a pattern lie in its maximal cortical thickness, axon density and functional complexity. However, the morphology of this pattern is not explicitly studied and related to brain structure and function on either healthy or diseased brains. In this study, we conduct a comparative MRI study between control group and ASD group in their gyral hinge morphology. The identified difference in morphology and spatial distribution is associated with the reported functional and cognitive differences. Our results demonstrate that gyral hinges could be related to brain functions on disease brains and used as potential predictors.

Keywords

Gyral hinge Autism spectral disease Cortical morphology 

Notes

Acknowledgements

This study was funded by National Natural Science Foundation of China (31671005, 31500798), National Institutes of Health (DA033393, AG042599) and National Science Foundation (IIS-1149260, CBET-1302089, BCS-1439051 and DBI-1564736).

References

  1. 1.
    Fischl, B., et al.: Cortical folding patterns and predicting cytoarchitecture. Cereb. Cortex 18(8), 1973–1980 (2008)CrossRefGoogle Scholar
  2. 2.
    Van Essen, D.C.: A tension-based theory of morphogenesis and compact wiring in the central nervous system. Nature 385(6614), 313–318 (1997)CrossRefGoogle Scholar
  3. 3.
    Rakic, P.: Specification of cerebral cortical areas. Science 241(4862), 170–176 (1988)CrossRefGoogle Scholar
  4. 4.
    Zielinski, B.A., et al.: Longitudinal changes in cortical thickness in autism and typical development. Brain 137(Pt 6), 1799–1812 (2014)Google Scholar
  5. 5.
    Li, K., et al.: Gyral folding pattern analysis via surface profiling. Neuroimage 52(4), 1202–1214 (2010)CrossRefGoogle Scholar
  6. 6.
    Ge, F., et al.: Denser growing fiber connections induce 3-hinge Gyral folding. Cereb. Cortex 28(3), 1–12 (2017)Google Scholar
  7. 7.
    Xi, J., Lin, Z., Huan, L., Lei, G., Kendrick, K.M., Tianming, L.: A cortical folding pattern-guided model of intrinsic functional brain networks in emotion processing. Front. Neurosci. 12, 575 (2018)CrossRefGoogle Scholar
  8. 8.
    Zhang, T., et al.: Exploring 3-hinge gyral folding patterns among HCP Q3 868 human subjects. Hum. Brain Mapp. 39(1), 4134–4149 (2018)CrossRefGoogle Scholar
  9. 9.
    Liu, J., Chi, W., Danilevsky, M., Han, J.: Large-scale spectral clustering on graphs. In: International Joint Conference on Artificial Intelligence (2013)Google Scholar
  10. 10.
    Fischl, B., Sereno, M.I., Tootell, R.B., Dale, A.M.: High-resolution intersubject averaging and a coordinate system for the cortical surface. Hum. Brain Mapp. 8(4), 272–284 (2015)CrossRefGoogle Scholar
  11. 11.
    Bertrand, G.: On topological watersheds. J. Math. Imaging Vis. 22(2–3), 217–230 (2005)MathSciNetCrossRefGoogle Scholar
  12. 12.
    Kaufman, L., Rousseeuw, P.J.: Finding Groups in Data: An Introduction to Cluster Analysis. Wiley, Hoboken (1990)CrossRefGoogle Scholar
  13. 13.
    Desikan, R.S., et al.: An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest. Neuroimage 31(3), 968–980 (2006)CrossRefGoogle Scholar
  14. 14.
    Holland, L., Low, J.: Do children with autism use inner speech and visuospatial resources for the service of executive control? Evidence from suppression in dual tasks. Br. J. Dev. Psychol. 28(2), 369–391 (2011)CrossRefGoogle Scholar
  15. 15.
    Alvarez, J.A., Emory, E., Alvarez, J.A., Emory, E.: Executive function and the frontal lobes: a meta-analytic review. Neuropsychol. Rev. 16(1), 17–42 (2006)CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Ying Huang
    • 1
  • Zhibin He
    • 1
  • Tianming Liu
    • 2
  • Lei Guo
    • 1
  • Tuo Zhang
    • 1
    Email author
  1. 1.School of AutomationNorthwestern Polytechnical UniversityXi’anChina
  2. 2.Cortical Architecture Imaging and Discovery Lab, Department of Computer Science and Bioimaging Research CenterThe University of GeorgiaAthensUSA

Personalised recommendations