CASIA OpenIR  > 脑网络组研究中心
Aberrant Dynamic Functional Network Connectivity and Graph Properties in Major Depressive Disorder
Zhi, Dongmei1,2,3; Calhoun, Vince D.4,5; Lv, Luxian6,7; Ma, Xiaohong8,9,10; Ke, Qing11; Fu, Zening4; Du, Yuhui4,12; Yang, Yongfeng6,7; Yang, Xiao8,9,10; Pan, Miao6,7; Qi, Shile1,2,3; Jiang, Rongtao1,2,3; Yu, Qingbao4; Sui, Jing1,2,3,4,13
AbstractMajor depressive disorder (MDD) is a complex mood disorder characterized by persistent and overwhelming depression. Previous studies have identified abnormalities in large scale functional brain networks in MDD, yet most of them were based on static functional connectivity. In contrast, here we explored disrupted topological organization of dynamic functional network connectivity (dFNC) in MDD based on graph theory. One hundred and eighty-two MDD patients and 218 healthy controls were included in this study, all Chinese Han people. By applying group information guided independent component analysis (GIG-ICA) to resting-state functional magnetic resonance imaging (fMRI) data, the dFNCs of each subject were estimated using a sliding window method and k-means clustering. Network properties including global efficiency, local efficiency, node strength and harmonic centrality, were calculated for each subject. Five dynamic functional states were identified, three of which demonstrated significant group differences in their percentage of state occurrence. Interestingly, MDD patients spent much more time in a weakly-connected State 2, which includes regions previously associated with self-focused thinking, a representative feature of depression. In addition, the FNCs in MDD were connected differently in different states, especially among prefrontal, sensorimotor, and cerebellum networks. MDD patients exhibited significantly reduced harmonic centrality primarily involving parietal lobule, lingual gyrus and thalamus. Moreover, three dFNCs with disrupted node properties were commonly identified in different states, and also correlated with depressive symptom severity and cognitive performance. This study is the first attempt to investigate the dynamic functional abnormalities in MDD in a Chinese population using a relatively large sample size, which provides new evidence on aberrant time-varying brain activity and its network disruptions in MDD, which might underscore the impaired cognitive functions in this mental disorder.
KeywordMajor Depressive Disorder Independent Component Analysis Dynamic Functional Network Connectivity Graph Theory Resting-state Functional Magnetic Resonance Imaging
WOS HeadingsScience & Technology ; Life Sciences & Biomedicine
Indexed BySCI ; SSCI
Funding OrganizationNational Natural Science Foundation(61703253 ; National High-Tech Development Plan (863 plan)(2015AA020513) ; Strategic Priority Research Program of the Chinese Academy of Sciences(XDB02060005) ; 100 Talents Plan of Chinese Academy of Sciences ; Natural Science Foundation of Shanxi(2016021077) ; NIH(P20GM103472 ; NSF(1539067) ; 61773380 ; R01EB006841 ; 81471367 ; R01EB020407 ; 81771479 ; R01EB005846) ; 81471382 ; 81641163)
WOS Research AreaPsychiatry
WOS SubjectPsychiatry
WOS IDWOS:000440320900001
Citation statistics
Cited Times:13[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Affiliation1.Chinese Acad Sci, Brainnetome Ctr, Beijing, Peoples R China
2.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing, Peoples R China
3.Univ Chinese Acad Sci, Beijing, Peoples R China
4.Mind Res Network, Albuquerque, NM 87106 USA
5.Univ New Mexico, Dept Elect & Comp Engn, Albuquerque, NM 87131 USA
6.Xinxiang Med Univ, Affiliated Hosp 2, Henan Mental Hosp, Dept Psychiat, Xinxiang, Peoples R China
7.Xinxiang Med Univ, Henan Key Lab Biol Psychiat, Xinxiang, Peoples R China
8.Sichuan Univ, West China Hosp, Psychiat Lab, Chengdu, Sichuan, Peoples R China
9.Sichuan Univ, West China Hosp, Mental Hlth Ctr, State Key Lab Biotherapy, Chengdu, Sichuan, Peoples R China
10.Sichuan Univ, West China Hosp, Huaxi Brain Res Ctr, Chengdu, Sichuan, Peoples R China
11.Zhejiang Univ, Sch Med, Affiliated Hosp 1, Hangzhou, Zhejiang, Peoples R China
12.Shanxi Univ, Sch Comp & Informat Technol, Taiyuan, Shanxi, Peoples R China
13.Chinese Acad Sci, Inst Automat, CAS Ctr Excellence Brain Sci & Intelligence Techn, Beijing, Peoples R China
First Author AffilicationChinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
Recommended Citation
GB/T 7714
Zhi, Dongmei,Calhoun, Vince D.,Lv, Luxian,et al. Aberrant Dynamic Functional Network Connectivity and Graph Properties in Major Depressive Disorder[J]. FRONTIERS IN PSYCHIATRY,2018,9.
APA Zhi, Dongmei.,Calhoun, Vince D..,Lv, Luxian.,Ma, Xiaohong.,Ke, Qing.,...&Sui, Jing.(2018).Aberrant Dynamic Functional Network Connectivity and Graph Properties in Major Depressive Disorder.FRONTIERS IN PSYCHIATRY,9.
MLA Zhi, Dongmei,et al."Aberrant Dynamic Functional Network Connectivity and Graph Properties in Major Depressive Disorder".FRONTIERS IN PSYCHIATRY 9(2018).
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Zhi, Dongmei]'s Articles
[Calhoun, Vince D.]'s Articles
[Lv, Luxian]'s Articles
Baidu academic
Similar articles in Baidu academic
[Zhi, Dongmei]'s Articles
[Calhoun, Vince D.]'s Articles
[Lv, Luxian]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Zhi, Dongmei]'s Articles
[Calhoun, Vince D.]'s Articles
[Lv, Luxian]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.