Visualizing the neuroanatomical changes in Han Chinese adulthood: A pseudo-longitudinal study based on age-related large-scale statistical Chinese brain atlases. Issue 2 (June 2019)

• Record Type: Journal Article
• Authors: Shi, Lin; Liang, Peipeng; Li, Andy; Wong, Raymond; Luo, Yishan; Liu, Kai; Li, Lening; Li, Kuncheng
• Is Part Of: Brain science advances. Volume 5:Issue 2(2019)
• Page Start: 106
• Page End: 116
• Publication Date: 2019-06
• Subjects: age-related statistical brain atlas -- magnetic resonance imaging -- pseudo-longitudinal study -- brain maturation and ageing; Neurosciences -- Periodicals; Medical innovations -- Periodicals; Medical innovations; Neurosciences; Periodicals; 616.8005
• DOI: 10.1177/2096595820902583
• Languages: English
• ISSNs: 2096-5958

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.