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Research Article

Developmental topography of cortical thickness during infancy

View ORCID ProfileFan Wang, Chunfeng Lian, Zhengwang Wu, Han Zhang, Tengfei Li, Yu Meng, Li Wang, Weili Lin, Dinggang Shen, and Gang Li
PNAS August 6, 2019 116 (32) 15855-15860; first published July 22, 2019; https://doi.org/10.1073/pnas.1821523116
Fan Wang
aDepartment of Radiology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599;
bBiomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599;
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  • ORCID record for Fan Wang
Chunfeng Lian
aDepartment of Radiology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599;
bBiomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599;
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Zhengwang Wu
aDepartment of Radiology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599;
bBiomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599;
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Han Zhang
aDepartment of Radiology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599;
bBiomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599;
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Tengfei Li
aDepartment of Radiology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599;
bBiomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599;
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Yu Meng
aDepartment of Radiology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599;
bBiomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599;
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Li Wang
aDepartment of Radiology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599;
bBiomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599;
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Weili Lin
aDepartment of Radiology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599;
bBiomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599;
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Dinggang Shen
aDepartment of Radiology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599;
bBiomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599;
cDepartment of Brain and Cognitive Engineering, Korea University, Seoul 02841, Republic of Korea
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  • For correspondence: dgshen@med.unc.edu gang_li@med.unc.edu
Gang Li
aDepartment of Radiology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599;
bBiomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599;
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  • For correspondence: dgshen@med.unc.edu gang_li@med.unc.edu
  1. Edited by Marcus E. Raichle, Washington University in St. Louis, St. Louis, MO, and approved June 19, 2019 (received for review December 18, 2018)

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    Fig. 1.

    Three criteria for determining the region number K. The reconstruction error (A), instability (B), and silhouette coefficient (C) with respect to different region numbers. Yellow dots indicate the local minimums of reconstruction error and instability, and the local maximums of silhouette coefficient.

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    Fig. 2.

    Discovered regions with different region numbers: K = 2 (A), K = 6 (B), and K = 17 (C), where warmer colors correspond to higher values. In B and C, each small brain represents a region, placed according to the center of its corresponding location on the big brain.

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    Fig. 3.

    Developmental trajectories of the average CT of each hemisphere (in the top left box) and each discovered region (i.e., component) in the left hemisphere, as well as the region-specific peak ages. The corresponding result of each region in the right hemisphere is shown in SI Appendix, Fig. S4. The y axis stands for CT (1.5 to ∼4.5 mm for all components), and the x axis represents the age in days. Red lines and blue lines represent females and males, respectively. The dashed green curves illustrate the fitted model of the population’s trajectories. The peak point of each fitted curve is signified using a yellow hexagon and an arrow.

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    Fig. 4.

    (A) Regional peak days of CT development. (B) Regional CT development at different time points. (C) Regional velocity of CT development.

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    Fig. 5.

    Vertex-wise maps of CT development at different ages.

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Developmental topography of cortical thickness during infancy
Fan Wang, Chunfeng Lian, Zhengwang Wu, Han Zhang, Tengfei Li, Yu Meng, Li Wang, Weili Lin, Dinggang Shen, Gang Li
Proceedings of the National Academy of Sciences Aug 2019, 116 (32) 15855-15860; DOI: 10.1073/pnas.1821523116

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Developmental topography of cortical thickness during infancy
Fan Wang, Chunfeng Lian, Zhengwang Wu, Han Zhang, Tengfei Li, Yu Meng, Li Wang, Weili Lin, Dinggang Shen, Gang Li
Proceedings of the National Academy of Sciences Aug 2019, 116 (32) 15855-15860; DOI: 10.1073/pnas.1821523116
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