Disrupted intrinsic functional brain topology in patients with major depressive disorder | |
Yang, Hong41; Chen, Xiao42,43,44; Chen, Zuo-Bing45; Li, Le1; Li, Xue-Ying2,3,42; Castellanos, Francisco Xavier4,5; Bai, Tong-Jian6; Bo, Qi-Jing7; Cao, Jun8; Chang, Zhi-Kai42,43 | |
刊名 | MOLECULAR PSYCHIATRY |
2021-08-12 | |
页码 | 9 |
ISSN号 | 1359-4184 |
DOI | 10.1038/s41380-021-01247-2 |
通讯作者 | Yan, Chao-Gan(ycg.yan@gmail.com) |
英文摘要 | Aberrant topological organization of whole-brain networks has been inconsistently reported in studies of patients with major depressive disorder (MDD), reflecting limited sample sizes. To address this issue, we utilized a big data sample of MDD patients from the REST-meta-MDD Project, including 821 MDD patients and 765 normal controls (NCs) from 16 sites. Using the Dosenbach 160 node atlas, we examined whole-brain functional networks and extracted topological features (e.g., global and local efficiency, nodal efficiency, and degree) using graph theory-based methods. Linear mixed-effect models were used for group comparisons to control for site variability; robustness of results was confirmed (e.g., multiple topological parameters, different node definitions, and several head motion control strategies were applied). We found decreased global and local efficiency in patients with MDD compared to NCs. At the nodal level, patients with MDD were characterized by decreased nodal degrees in the somatomotor network (SMN), dorsal attention network (DAN) and visual network (VN) and decreased nodal efficiency in the default mode network (DMN), SMN, DAN, and VN. These topological differences were mostly driven by recurrent MDD patients, rather than first-episode drug naive (FEDN) patients with MDD. In this highly powered multisite study, we observed disrupted topological architecture of functional brain networks in MDD, suggesting both locally and globally decreased efficiency in brain networks. |
收录类别 | SCI |
资助项目 | National Key R&D Program of China[2017YFC1309902] ; National Natural Science Foundation of China[81671774] ; National Natural Science Foundation of China[81820108018] ; National Natural Science Foundation of China[81630031] ; 13th Five-year Informatization Plan of Chinese Academy of Sciences[XXH13505] ; Key Research Program of the Chinese Academy of Sciences[ZDBS-SSW-JSC006] ; Beijing Nova Program of Science and Technology[Z191100001119104] ; Scientific Foundation of Institute of Psychology, Chinese Academy of Sciences[Y9CX422005] ; China Postdoctoral Science Foundation[2019M660847] ; China National Postdoctoral Program for Innovative Talents[BX20200360] ; Key Project of Science and Technology Research Plan[2020-3-016] ; Key research and development program, Ministry of Science and Technology of People's Republic of China[2019YFC0121003] ; Basic Public Welfare Research Program of Zhejiang Province[LGF20H090013] ; Start-up Funds for Leading Talents at Beijing Normal University and National Basic Science Data Center Chinese Data-sharing Warehouse for In-vivo Imaging Brain[NBSDC-DB-15] |
WOS关键词 | DEFAULT-MODE NETWORK ; CONNECTIVITY ; METAANALYSIS ; ABNORMALITIES ; INFORMATION ; REGIONS ; MATTER ; NAIVE |
WOS研究方向 | Biochemistry & Molecular Biology ; Neurosciences & Neurology ; Psychiatry |
语种 | 英语 |
出版者 | SPRINGERNATURE |
WOS记录号 | WOS:000684516400005 |
资助机构 | National Key R&D Program of China ; National Natural Science Foundation of China ; 13th Five-year Informatization Plan of Chinese Academy of Sciences ; Key Research Program of the Chinese Academy of Sciences ; Beijing Nova Program of Science and Technology ; Scientific Foundation of Institute of Psychology, Chinese Academy of Sciences ; China Postdoctoral Science Foundation ; China National Postdoctoral Program for Innovative Talents ; Key Project of Science and Technology Research Plan ; Key research and development program, Ministry of Science and Technology of People's Republic of China ; Basic Public Welfare Research Program of Zhejiang Province ; Start-up Funds for Leading Talents at Beijing Normal University and National Basic Science Data Center Chinese Data-sharing Warehouse for In-vivo Imaging Brain |
内容类型 | 期刊论文 |
源URL | [http://ir.psych.ac.cn/handle/311026/39988] |
专题 | 心理研究所_中国科学院行为科学重点实验室 |
通讯作者 | Yan, Chao-Gan |
作者单位 | 1.Beijing Language & Culture Univ, Ctr Cognit Sci Language, Beijing, Peoples R China 2.Univ Chinese Acad Sci, Sino Danish Coll, Beijing, Peoples R China 3.Sinodanish Ctr Educ & Res, Beijing, Peoples R China 4.NYU, Grossman Sch Med, Dept Child & Adolescent Psychiat, New York, NY 10003 USA 5.Nathan S Kline Inst Psychiat Res, Orangeburg, NY USA 6.Anhui Med Univ, Hefei, Anhui, Peoples R China 7.Capital Med Univ, Beijing Anding Hosp, Beijing, Peoples R China 8.Chongqing Med Univ, Affiliated Hosp 1, Dept Psychiat, Chongqing, Peoples R China 9.Zhejiang Univ, Sir Run Run Shaw Hosp, Sch Med, Dept Psychiat, Hangzhou, Zhejiang, Peoples R China 10.Cent South Univ, Xiangya Hosp 2, Changsha, Hunan, Peoples R China |
推荐引用方式 GB/T 7714 | Yang, Hong,Chen, Xiao,Chen, Zuo-Bing,et al. Disrupted intrinsic functional brain topology in patients with major depressive disorder[J]. MOLECULAR PSYCHIATRY,2021:9. |
APA | Yang, Hong.,Chen, Xiao.,Chen, Zuo-Bing.,Li, Le.,Li, Xue-Ying.,...&Yan, Chao-Gan.(2021).Disrupted intrinsic functional brain topology in patients with major depressive disorder.MOLECULAR PSYCHIATRY,9. |
MLA | Yang, Hong,et al."Disrupted intrinsic functional brain topology in patients with major depressive disorder".MOLECULAR PSYCHIATRY (2021):9. |
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