Journal of Computational Neuroscience

, Volume 42, Issue 3, pp 217–229 | Cite as

Mechanisms of circumferential gyral convolution in primate brains

  • Tuo Zhang
  • Mir Jalil Razavi
  • Hanbo Chen
  • Yujie Li
  • Xiao Li
  • Longchuan Li
  • Lei Guo
  • Xiaoping Hu
  • Tianming Liu
  • Xianqiao Wang
Article

Abstract

Mammalian cerebral cortices are characterized by elaborate convolutions. Radial convolutions exhibit homology across primate species and generally are easily identified in individuals of the same species. In contrast, circumferential convolutions vary across species as well as individuals of the same species. However, systematic study of circumferential convolution patterns is lacking. To address this issue, we utilized structural MRI (sMRI) and diffusion MRI (dMRI) data from primate brains. We quantified cortical thickness and circumferential convolutions on gyral banks in relation to axonal pathways and density along the gray matter/white matter boundaries. Based on these observations, we performed a series of computational simulations. Results demonstrated that the interplay of heterogeneous cortex growth and mechanical forces along axons plays a vital role in the regulation of circumferential convolutions. In contrast, gyral geometry controls the complexity of circumferential convolutions. These findings offer insight into the mystery of circumferential convolutions in primate brains.

Keywords

Gyral convolution MRI Computational modeling Axon Heterogeneous growth 

Notes

Acknowledgements

T Zhang was supported by NSFC 31500798, NSFC 31671005. T Liu was supported by NSF CAREER Award (IIS-1149260), NIH R01 DA-033393, NIH R01 AG-042599, NSF CBET-1302089, NSF BCS-143905 and NSF DBI-1564736. X Wang and M Razavi were supported by the University of Georgia Start-up research funding.

Compliance with ethical standards

Conflict of interest

The authors declare that they have no conflict of interest

Supplementary material

10827_2017_637_MOESM1_ESM.docx (4.2 mb)
ESM 1(DOCX 4264 kb)

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Copyright information

© Springer Science+Business Media New York 2017

Authors and Affiliations

  • Tuo Zhang
    • 1
    • 2
  • Mir Jalil Razavi
    • 3
  • Hanbo Chen
    • 2
  • Yujie Li
    • 2
  • Xiao Li
    • 1
  • Longchuan Li
    • 4
  • Lei Guo
    • 1
  • Xiaoping Hu
    • 4
  • Tianming Liu
    • 2
  • Xianqiao Wang
    • 3
  1. 1.School of Automation and Brain Decoding Research CenterNorthwestern Polytechnical UniversityXi’anChina
  2. 2.Department of Computer Science and Bioimaging Research CenterThe University of GeorgiaAthensUSA
  3. 3.College of EngineeringThe University of GeorgiaAthensUSA
  4. 4.Biomedical Imaging Technology CenterEmory UniversityAtlantaUSA

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