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Brain Science Advances 2019, 5(2): 106-116 https://doi.org/10.26599/BSA.2019.9050012
Research Article | Open Access | Issue | Published: 17 January 2020

Visualizing the neuroanatomical changes in Han Chinese adulthood: A pseudo-longitudinal study based on age-related large-scale statistical Chinese brain atlases

Show Author's Information Lin Shi1,2( ),  Peipeng Liang3,  Andy Li4,  Raymond Wong4,  Yishan Luo4,  Kai Liu1,2,  Lening Li5,  Kuncheng Li6
Research Center for Medical Image Computing, The Chinese University of Hong Kong, Hong Kong 999077, China
Department of Imaging and Interventional Radiology, The Chinese University of Hong Kong, Hong Kong 999077, China
School of Psychology, Beijing Key Laboratory of Learning and Cognition, Capital Normal University, Beijing 10048, China
BrainNow Research Institute, Shenzhen 518081, Guangdong Province, China
Shenzhen SmartView MedTech Limited, Shenzhen 518081, Guangdong Province, China
Department of Radiology, Beijing Key Laboratory of Magnetic Resonance Imaging and Brain Informatics, Xuanwu Hospital, Capital Medical University, Beijing 100053, China
Keywords:
age-related statistical brain atlas, magnetic resonance imaging, pseudo-longitudinal study, brain maturation and ageing
Cite this article:
Shi L, Liang P, Li A, et al. Visualizing the neuroanatomical changes in Han Chinese adulthood: A pseudo-longitudinal study based on age-related large-scale statistical Chinese brain atlases. Brain Science Advances, 2019, 5(2): 106-116. https://doi.org/10.26599/BSA.2019.9050012
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Abstract Full text About this article
Objective:

Understanding how brain changes over lifetime provides the basis for new insights into neurophysiology and neuropathology. In this study, we carried out a pseudo-longitudinal study based on age-related Chinese brain atlases (i.e., Chinese2020) constructed from large-scale volumetric brain MRI data collected in normal Han Chinese adults at varying ages.

Methods:

In order to quantify the deformation and displacement of brains for each voxel as age increases, optical flow algorithm was employed to compute motion vectors between every two consecutive brain templates of the age-related brain atlas, i.e., Chinese2020.

Results:

Dynamic age-related neuroanatomical changes in a standardized brain space were shown. Overall, our results demonstrate that brain inward deformation (mainly due to atrophy) can appear in adulthood and this trend generally accelerates as age increases, affecting multiple regions including frontal cortex, temporal cortex, parietal cortex, and cerebellum, whereas occipital cortex is least affected by aging, and even showed some degree of outward deformation in the midlife.

Conclusion:

Our findings indicated more complicated age-related changes instead of a simple trend of brain volume decrease, which may be in line with the recently increasing interests in the age-related cortical complexity with other morphometry measures.


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Abstract
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About this article

Visualizing the neuroanatomical changes in Han Chinese adulthood: A pseudo-longitudinal study based on age-related large-scale statistical Chinese brain atlases

Show Author's information Lin Shi1,2( ), Peipeng Liang3, Andy Li4, Raymond Wong4, Yishan Luo4, Kai Liu1,2, Lening Li5, Kuncheng Li6
Research Center for Medical Image Computing, The Chinese University of Hong Kong, Hong Kong 999077, China
Department of Imaging and Interventional Radiology, The Chinese University of Hong Kong, Hong Kong 999077, China
School of Psychology, Beijing Key Laboratory of Learning and Cognition, Capital Normal University, Beijing 10048, China
BrainNow Research Institute, Shenzhen 518081, Guangdong Province, China
Shenzhen SmartView MedTech Limited, Shenzhen 518081, Guangdong Province, China
Department of Radiology, Beijing Key Laboratory of Magnetic Resonance Imaging and Brain Informatics, Xuanwu Hospital, Capital Medical University, Beijing 100053, China

Abstract

Objective:

Understanding how brain changes over lifetime provides the basis for new insights into neurophysiology and neuropathology. In this study, we carried out a pseudo-longitudinal study based on age-related Chinese brain atlases (i.e., Chinese2020) constructed from large-scale volumetric brain MRI data collected in normal Han Chinese adults at varying ages.

Methods:

In order to quantify the deformation and displacement of brains for each voxel as age increases, optical flow algorithm was employed to compute motion vectors between every two consecutive brain templates of the age-related brain atlas, i.e., Chinese2020.

Results:

Dynamic age-related neuroanatomical changes in a standardized brain space were shown. Overall, our results demonstrate that brain inward deformation (mainly due to atrophy) can appear in adulthood and this trend generally accelerates as age increases, affecting multiple regions including frontal cortex, temporal cortex, parietal cortex, and cerebellum, whereas occipital cortex is least affected by aging, and even showed some degree of outward deformation in the midlife.

Conclusion:

Our findings indicated more complicated age-related changes instead of a simple trend of brain volume decrease, which may be in line with the recently increasing interests in the age-related cortical complexity with other morphometry measures.

Keywords: age-related statistical brain atlas, magnetic resonance imaging, pseudo-longitudinal study, brain maturation and ageing

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Publication history
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Publication history

Received: 24 April 2019
Revised: 18 May 2019
Accepted: 28 May 2019
Published: 17 January 2020
Issue date: June 2019

Copyright

© The authors 2019

Acknowledgements

The work described in this paper was supported by grants from the Innovation and Technology Commission (Project Nos. GHP-025-17SZ and GHP/028/14SZ) of the Hong Kong Special Administrative Region, Shenzhen Science and Technology Innovation Committee (Project No. CYZZ20160421160735632), Beijing Nova Program (No. 2016000021223TD07), Capacity Building for Sci-Tech Innovation£-Fundamental Scientific Research Funds (No. 19530050157, No. 19530050184), and the Beijing Brain Initiative of Beijing Municipal Science & Technology Commission.

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