Two-dimensional horizontal visibility graph analysis of human brain aging on gray matter

doi:10.1088/1674-1056/acc7f7

中国物理B ›› 2023, Vol. 32 ›› Issue (7): 78501-078501.doi: 10.1088/1674-1056/acc7f7

Two-dimensional horizontal visibility graph analysis of human brain aging on gray matter

Huang-Jing Ni(倪黄晶)^1,2, Ruo-Yu Du(杜若瑜)^1,2, Lei Liang(梁磊)¹, Ling-Ling Hua(花玲玲)³, Li-Hua Zhu(朱丽华)⁴, and Jiao-Long Qin(秦姣龙)^5,†

1 School of Geographic and Biologic Information, Nanjing University of Posts and Telecommunications, Nanjing 210003, China;
2 Smart Health Big Data Analysis and Location Services Engineering Laboratory of Jiangsu Province, Nanjing 210003, China;
3 Department of Psychiatry, the Affiliated Brain Hospital of Nanjing Medical University, Nanjing 210029, China;
4 Jiangsu Health Vocational College, Nanjing 211800, China;
5 School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing 210094, China

收稿日期:2022-11-11 修回日期:2023-01-14 接受日期:2023-03-28 出版日期:2023-06-15 发布日期:2023-06-15
通讯作者: Jiao-Long Qin E-mail:jiaolongq@njust.edu.cn
基金资助:
Project supported by the Natural Science Foundation of Jiangsu Province, China (Grant No. BK20190736); the Young Scientists Fund of the National Natural Science Foundation of China (Grant Nos. 81701346 and 61603198); and Qinglan Team of Universities in Jiangsu Province (Jiangsu Teacher Letter[2020] 10 and Jiangsu Teacher Letter[2021] 11).

Two-dimensional horizontal visibility graph analysis of human brain aging on gray matter

Huang-Jing Ni(倪黄晶)^1,2, Ruo-Yu Du(杜若瑜)^1,2, Lei Liang(梁磊)¹, Ling-Ling Hua(花玲玲)³, Li-Hua Zhu(朱丽华)⁴, and Jiao-Long Qin(秦姣龙)^5,†

1 School of Geographic and Biologic Information, Nanjing University of Posts and Telecommunications, Nanjing 210003, China;
2 Smart Health Big Data Analysis and Location Services Engineering Laboratory of Jiangsu Province, Nanjing 210003, China;
3 Department of Psychiatry, the Affiliated Brain Hospital of Nanjing Medical University, Nanjing 210029, China;
4 Jiangsu Health Vocational College, Nanjing 211800, China;
5 School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing 210094, China

Received:2022-11-11 Revised:2023-01-14 Accepted:2023-03-28 Online:2023-06-15 Published:2023-06-15
Contact: Jiao-Long Qin E-mail:jiaolongq@njust.edu.cn
Supported by:
Project supported by the Natural Science Foundation of Jiangsu Province, China (Grant No. BK20190736); the Young Scientists Fund of the National Natural Science Foundation of China (Grant Nos. 81701346 and 61603198); and Qinglan Team of Universities in Jiangsu Province (Jiangsu Teacher Letter[2020] 10 and Jiangsu Teacher Letter[2021] 11).

摘要/Abstract

摘要： Characterizing the trajectory of the healthy aging brain and exploring age-related structural changes in the brain can help deepen our understanding of the mechanism of brain aging. Currently, most structural magnetic resonance imaging literature explores brain aging merely from the perspective of morphological features, which cannot fully utilize the gray-scale values containing important intrinsic information about brain structure. In this study, we propose the construction of two-dimensional horizontal visibility graphs based on the pixel intensity values of the gray matter slices directly. Normalized network structure entropy (NNSE) is then introduced to quantify the overall heterogeneities of these graphs. The results demonstrate a decrease in the NNSEs of gray matter with age. Compared with the middle-aged and the elderly, the larger values of the NNSE in the younger group may indicate more homogeneous network structures, smaller differences in importance between nodes and thus a more powerful ability to tolerate intrusion. In addition, the hub nodes of different adult age groups are primarily located in the precuneus, cingulate gyrus, superior temporal gyrus, inferior temporal gyrus, parahippocampal gyrus, insula, precentral gyrus and postcentral gyrus. Our study can provide a new perspective for understanding and exploring the structural mechanism of brain aging.

关键词: two-dimensional horizontal visibility graph, brain aging, structural magnetic resonance imaging, network structure entropy

Abstract: Characterizing the trajectory of the healthy aging brain and exploring age-related structural changes in the brain can help deepen our understanding of the mechanism of brain aging. Currently, most structural magnetic resonance imaging literature explores brain aging merely from the perspective of morphological features, which cannot fully utilize the gray-scale values containing important intrinsic information about brain structure. In this study, we propose the construction of two-dimensional horizontal visibility graphs based on the pixel intensity values of the gray matter slices directly. Normalized network structure entropy (NNSE) is then introduced to quantify the overall heterogeneities of these graphs. The results demonstrate a decrease in the NNSEs of gray matter with age. Compared with the middle-aged and the elderly, the larger values of the NNSE in the younger group may indicate more homogeneous network structures, smaller differences in importance between nodes and thus a more powerful ability to tolerate intrusion. In addition, the hub nodes of different adult age groups are primarily located in the precuneus, cingulate gyrus, superior temporal gyrus, inferior temporal gyrus, parahippocampal gyrus, insula, precentral gyrus and postcentral gyrus. Our study can provide a new perspective for understanding and exploring the structural mechanism of brain aging.

Key words: two-dimensional horizontal visibility graph, brain aging, structural magnetic resonance imaging, network structure entropy

中图分类号: (Biological complexity)

87.18.-h

87.57.-s (Medical imaging) 87.61.-c (Magnetic resonance imaging) 87.85.D- (Applied neuroscience)

Huang-Jing Ni(倪黄晶), Ruo-Yu Du(杜若瑜), Lei Liang(梁磊), Ling-Ling Hua(花玲玲), Li-Hua Zhu(朱丽华), and Jiao-Long Qin(秦姣龙). Two-dimensional horizontal visibility graph analysis of human brain aging on gray matter[J]. 中国物理B, 2023, 32(7): 78501-078501.

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Two-dimensional horizontal visibility graph analysis of human brain aging on gray matter

Two-dimensional horizontal visibility graph analysis of human brain aging on gray matter

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