Publication

Radial Structure Scaffolds Convolution Patterns of Developing Cerebral Cortex

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Last modified
  • 03/03/2025
Type of Material
Authors
    Mir Jalil Razavi, University of GeorgiaTuo Zhang, University of GeorgiaHanbo Chen, University of GeorgiaYujie Li, University of GeorgiaSimon Platt, University of GeorgiaYu Zhao, University of GeorgiaLei Guo, Northwestern Polytechnical UniversityXiaoping Hu, Emory UniversityXianqiao Wang, University of GeorgiaTianming Liu, University of Georgia
Language
  • English
Date
  • 2017-08-15
Publisher
  • Frontiers Media
Publication Version
Copyright Statement
  • © 2017 Razavi, Zhang, Chen, Li, Platt, Zhao, Guo, Hu, Wang and Liu.
License
Final Published Version (URL)
Title of Journal or Parent Work
ISSN
  • 1662-5188
Volume
  • 11
Start Page
  • 76
End Page
  • 76
Grant/Funding Information
  • XW and MR were supported by the University of Georgia Start-up research funding.
  • TZ was supported by NSFC 31500798, NSFC 31671005 and the fundamental research funds for the central universities.
  • TL was supported by NSF CAREER Award (IIS-1149260), NIH R01 DA-033393, NIH R01 AG-042599, NSF CBET-1302089, and NSF BCS-143905.
Supplemental Material (URL)
Abstract
  • Commonly-preserved radial convolution is a prominent characteristic of the mammalian cerebral cortex. Endeavors from multiple disciplines have been devoted for decades to explore the causes for this enigmatic structure. However, the underlying mechanisms that lead to consistent cortical convolution patterns still remain poorly understood. In this work, inspired by prior studies, we propose and evaluate a plausible theory that radial convolution during the early development of the brain is sculptured by radial structures consisting of radial glial cells (RGCs) and maturing axons. Specifically, the regionally heterogeneous development and distribution of RGCs controlled by Trnp1 regulate the convex and concave convolution patterns (gyri and sulci) in the radial direction, while the interplay of RGCs’ effects on convolution and axons regulates the convex (gyral) convolution patterns. This theory is assessed by observations and measurements in literature from multiple disciplines such as neurobiology, genetics, biomechanics, etc., at multiple scales to date. Particularly, this theory is further validated by multimodal imaging data analysis and computational simulations in this study. We offer a versatile and descriptive study model that can provide reasonable explanations of observations, experiments, and simulations of the characteristic mammalian cortical folding.
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Keywords
Research Categories
  • Biology, Neuroscience

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