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)


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.


Gyral hinge Autism spectral disease Cortical morphology 



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).


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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

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