Alterations in Normal Aging Revealed by Cortical Brain Network Constructed Using IBASPM

被引:4
作者
Li, Wan [1 ]
Yang, Chunlan [1 ]
Shi, Feng [2 ]
Wang, Qun [3 ]
Wu, Shuicai [1 ]
Lu, Wangsheng [4 ]
Li, Shaowu [5 ]
Nie, Yingnan [1 ]
Zhang, Xin [1 ]
机构
[1] Beijing Univ Technol, Coll Life Sci & Bioengn, Beijing, Peoples R China
[2] Cedars Sinai Med Ctr, Biomed Imaging Res Inst, Dept Biomed Sci, Los Angeles, CA 90048 USA
[3] Tiantan Hosp, Dept Internal Neurol, Beijing, Peoples R China
[4] Puhua Int Hosp, Dept Internal Neurol, Beijing, Peoples R China
[5] Neurosurg Inst, Dept Funct Neuroimaging, Beijing, Peoples R China
基金
中国国家自然科学基金;
关键词
IBASPM; Normal aging; Cortical brain network; Regional gray matter volume; Graph theory; RICH-CLUB ORGANIZATION; STRUCTURAL COVARIANCE; COMMUNITY STRUCTURE; CONNECTIVITY; THICKNESS; CENTRALITY; DYNAMICS; VOLUME; VOXEL; MRI;
D O I
10.1007/s10548-018-0642-y
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
Normal aging has been linked with the decline of cognitive functions, such as memory and executive skills. One of the prominent approaches to investigate the age-related alterations in the brain is by examining the cortical brain connectome. IBASPM is a toolkit to realize individual atlas-based volume measurement. Hence, this study seeks to determine what further alterations can be revealed by cortical brain networks formed by IBASPM-extracted regional gray matter volumes. We found the reduced strength of connections between the superior temporal pole and middle temporal pole in the right hemisphere, global hubs as the left fusiform gyrus and right Rolandic operculum in the young and aging groups, respectively, and significantly reduced inter-module connection of one module in the aging group. These new findings are consistent with the phenomenon of normal aging mentioned in previous studies and suggest that brain network built with the IBASPM could provide supplementary information to some extent. The individualization of morphometric features extraction deserved to be given more attention in future cortical brain network research.
引用
收藏
页码:577 / 590
页数:14
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