ACTIVE INDEX: AN INTEGRATED INDEX TO REVEAL DISRUPTED BRAIN NETWORK ORGANIZATIONS OF MAJOR DEPRESSIVE DISORDER PATIENTS

被引:0
|
作者
Fu, Yu [1 ,2 ]
Huang, Yanyan [1 ]
Niu, Meng [3 ]
Xue, Le [1 ]
Dong, Shunjie [1 ]
Guo, Shunlin [3 ]
Lei, Junqiang [3 ]
Zhuo, Cheng [1 ]
机构
[1] Zhejiang Univ, Hangzhou, Peoples R China
[2] Zhejiang Univ, Binjiang Inst, Hangzhou, Peoples R China
[3] Lanzhou Univ, Hosp 1, Dept Radiol, Lanzhou, Peoples R China
来源
2022 IEEE INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (IEEE ISBI 2022) | 2022年
关键词
Major depressive disorder; Functional magnetic resonance imaging; Brain network analysis; Communities;
D O I
10.1109/ISBI52829.2022.9761503
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
Altered functional brain networks have been a typical manifestation that distinguishes major depressive disorder (MDD) patients from healthy control (HC) subjects in functional magnetic resonance imaging (fMRI) studies. Recently, rich club and diverse club metrics have been proposed for network or network neuroscience analyses. The rich club defines a set of nodes that tend to be the hubs of specific communities, and the diverse club defines the nodes that span more communities and have edges diversely distributed across different communities. Considering the heterogeneity of rich clubs and diverse clubs, combining them and on the basis to derive a novel indicator may reveal new evidence of brain functional integration and separation, which might provide new insights into MDD. This study for the first time discussed the differences between MDD and HC using both rich club and diverse club metrics and found the complementarity of them in analyzing brain networks. Besides, a novel index, termed "active index", has been proposed in this study. The active index defines a group of nodes that tend to be diversely distributed across communities while avoiding being a hub of a community. Experimental results demonstrate the superiority of active index in analyzing MDD brain mechanisms.
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页数:5
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