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Biotypes of major depressive disorder: Neuroimaging evidence from resting-state default mode network patterns
Liang, Sugai1,2,3; Deng, Wei1,2,3; Li, Xiaojing1,2,3; Greenshaw, Andrew J.4; Wang, Qiang1,2,3; Li, Mingli1,2,3; Ma, Xiaohong1,2,3; Bai, Tong-Jian5; Bo, Qi-Jing6; Cao, Jun7; Chen, Guan-Mao8; Chen, Wei9; Cheng, Chang10; Cheng, Yu-Qi11; Gui, Xi-Long11; Duan, Jia12; Fang, Yi-Ru13; Gong, Qi-Yong14,15; Guo, Wen-Bin10; Hou, Zheng-Hua16; Hu, Lan7; Kuang, Li7; Li, Feng6; Li, Kai-Ming14; Liu, Yan-Song17; Liu, Zhe-Ning18; Long, Yi-Cheng19; Luo, Qing-Hua7; Meng, Hua-Qing17; Peng, Dai-Hui13; Qiu, Hai-Tang7; Qiu, Jiang19; Shen, Yue-Di20; Shi, Yu-Shu21; Si, Tian-Mei22,23; Wang, Chuan-Yue6; Wang, Fei12; Wang, Kai6; Wang, Li22,23; Wang, Xiang9; Wang, Ying8; Wu, Xiao-Ping24; Wu, Xin-Ran19; Xie, Chun-Ming25; Xie, Guang-Rong10; Xie, Hai-Yan26; Xie, Peng27,28,29; Xu, Xiu-Feng11; Yang, Hong21; Yang, Jian30; Yu, Hua1,2,3; Yao, Jia-Shu9; Yao, Shu-Qiao10; Yin, Ying-Ying16; Yuan, Yong-Gui16; Zang, Yu-Feng31,32; Zhang, Ai-Xia30; Zhang, Hong24; Zhang, Ke-Rang33; Zhang, Zhi-Jun25; Zhao, Jing-Ping18; Zhou, Ru-Bai13; Zhou, Yi-Ting1,2,3; Zou, Chao-Jie11; Zuo, Xi-Nian24,35,36,37; Yan, Chao-Gan34,35,36,37; Li, Tao1,2,3
First AuthorLiang, Sugai
Correspondent Emailyancg@psych.ac.cn (c.-g. yan) ; litaohx@scu.edu.cn (t. li).
Abstract

Background: Major depressive disorder (MDD) is heterogeneous disorder associated with aberrant functional connectivity within the default mode network (DMN). This study focused on data-driven identification and validation of potential DMN-pattern-based MDD subtypes to parse heterogeneity of the disorder. Methods: The sample comprised 1397 participants including 690 patients with MDD and 707 healthy controls (HC) registered from multiple sites based on the REST-meta-MDD Project in China. Baseline resting-state functional magnetic resonance imaging (rs-fMRI) data was recorded for each participant. Discriminative features were selected from DMN between patients and HC. Patient subgroups were defined by K-means and principle component analysis in the multi-site datasets and validated in an independent single-site dataset. Statistical significance of resultant clustering were confirmed. Demographic and clinical variables were compared between identified patient subgroups. Results: Two MDD subgroups with differing functional connectivity profiles of DMN were identified in the multi-site datasets, and relatively stable in different validation samples. The predominant dysfunctional connectivity profiles were detected among superior frontal cortex, ventral medial prefrontal cortex, posterior cingulate cortex and precuneus, whereas one subgroup exhibited increases of connectivity (hyperDMN MDD) and another subgroup showed decreases of connectivity (hypoDMN MDD). The hyperDMN subgroup in the discovery dataset had age-related severity of depressive symptoms. Patient subgroups had comparable demographic and clinical symptom variables. Conclusions: Findings suggest the existence of two neural subtypes of MDD associated with different dysfunctional DMN connectivity patterns, which may provide useful evidence for parsing heterogeneity of depression and be valuable to inform the search for personalized treatment strategies.

KeywordBiotypes Default mode network Major depressive disorder Resting-state fMRI Machine learning
2021
Language英语
DOI10.1016/j.nicl.2020.102514
Source PublicationNeuroImage: Clinical
ISSN2213-1582
Volume28
Subtype实证研究
WoS QuartileQ2
Age Group青年(18岁-29岁) ; 三十多岁(30岁-39岁) ; 中年(40岁-64岁)
Citation statistics
Cited Times:4[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.psych.ac.cn/handle/311026/40742
Collection中国科学院行为科学重点实验室
Affiliation1.Sichuan Univ, West China Hosp, State Key Lab Biotherapy, Mental Hlth Ctr, 28th Dianxin Nan Str, Chengdu 610041, Sichuan, Peoples R China
2.Sichuan Univ, West China Hosp, State Key Lab Biotherapy, Psychiat Lab, Chengdu 610041, Sichuan, Peoples R China
3.Sichuan Univ, West China Hosp, West China Brain Res Ctr, Chengdu 610041, Sichuan, Peoples R China
4.Greenshaw, Andrew J.] Univ Alberta, Dept Psychiat, Edmonton, AB T6G 2B7, Canada
5.Anhui Med Univ, Hefei 230032, Anhui, Peoples R China
6.Beijing Anding Hosp, Capital Med Univ, Beijing 100069, Peoples R China
7.Chongqing Med Univ, Affiliated Hosp 1, Dept Psychiat, Chongqing 400016, Peoples R China
8.Jinan Univ, Affiliated Hosp 1, Guangzhou 510630, Guangdong, Peoples R China
9.Zhejiang Univ, Sch Med, Sir Run Run Shaw Hosp, Hangzhou 310058, Zhejiang, Peoples R China
10.Cent South Univ, Xiangya Hosp 2, Changsha 410083, Hunan, Peoples R China
11.Kunming Med Univ, Affiliated Hosp 1, Kunming 650211, Yunnan, Peoples R China
12.China Med Univ, Affiliated Hosp 1, Dept Psychiat, Shenyang 110001, Liaoning, Peoples R China
13.Shanghai Jiao Tong Univ, Sch Med, Dept Psychiat, Shanghai 200240, Peoples R China
14.Sichuan Univ, West China Hosp, Dept Radiol, Huaxi MR Res Ctr HMRRC, Chengdu 610041, Sichuan, Peoples R China
15.Sichuan Univ, West China Hosp, Chinese Acad Med Sci, Psychoradiol Res Unit, Chengdu 610040, Sichuan, Peoples R China
16.Southeast Univ, Dept Psychosomat & Psychiat, Zhongda Hosp, Sch Med, Nanjing 210096, Jiangsu, Peoples R China
17.Soochow Univ, Affiliated Guangji Hosp, Suzhou Psychiat Hosp, Dept Clin Psychol, Suzhou 215031, Jiangsu, Peoples R China
18.Cent South Univ, Xiangya Hosp 2, Inst Mental Hlth, Changsha 410083, Hunan, Peoples R China
19.Southwest Univ, Fac Psychol, Chongqing 400715, Peoples R China
20.Hangzhou Normal Univ, Sch Med, Affiliated Hosp, Dept Diagnost, Hangzhou 311121, Zhejiang, Peoples R China
21.Zhejiang Univ, Coll Med, Affiliated Hosp 1, Dept Radiol, Hangzhou 310058, Zhejiang, Peoples R China
22.Peking Univ, Hosp 6, Natl Clin Res Ctr Mental Disorders, Beijing 100191, Peoples R China
23.Peking Univ, Key Lab Mental Hlth, Minist Hlth, Beijing 100191, Peoples R China
24.Xian Cent Hosp, Xian 710032, Shaanxi, Peoples R China
25.Southeast Univ, Affiliated Zhongda Hosp, Dept Neurol, Nanjing 210096, Jiangsu, Peoples R China
26.Zhejiang Univ, Coll Med, Affiliated Hosp 4, Dept Psychiat, Hangzhou 310058, Zhejiang, Peoples R China
27.Chongqing Med Univ, Inst Neurosci, Chongqing 400016, Peoples R China
28.Chongqing Key Lab Neurobiol, Chongqing 400016, Peoples R China
29.Chongqing Med Univ, Affiliated Hosp 1, Dept Neurol, Chongqing 400016, Peoples R China
30.Xi An Jiao Tong Univ, Affiliated Hosp 1, Xian 710049, Shaanxi, Peoples R China
31.Hangzhou Normal Univ, Inst Psychol Sci, Ctr Cognit & Brain Disorders, Hangzhou 311121, Zhejiang, Peoples R China
32.Zhejiang Key Lab Res Assessment Cognit Impairment, Hangzhou 311121, Zhejiang, Peoples R China
33.Shanxi Med Univ, Hosp 1, Taiyuan 030607, Shanxi, Peoples R China
34.Inst Psychol, CAS Key Lab Behav Sci, Beijing 100101, Peoples R China
35.Univ Chinese Acad Sci, Dept Psychol, Beijing 100101, Peoples R China
36.Chinese Acad Sci, Magnet Resonance Imaging Res Ctr, Beijing 100101, Peoples R China
37.Chinese Acad Sci, Inst Psychol, Res Ctr Lifespan Dev Mind & Brain CLIMB, Beijing 100101, Peoples R China
Recommended Citation
GB/T 7714
Liang, Sugai,Deng, Wei,Li, Xiaojing,et al. Biotypes of major depressive disorder: Neuroimaging evidence from resting-state default mode network patterns[J]. NeuroImage: Clinical,2021,28.
APA Liang, Sugai.,Deng, Wei.,Li, Xiaojing.,Greenshaw, Andrew J..,Wang, Qiang.,...&Li, Tao.(2021).Biotypes of major depressive disorder: Neuroimaging evidence from resting-state default mode network patterns.NeuroImage: Clinical,28.
MLA Liang, Sugai,et al."Biotypes of major depressive disorder: Neuroimaging evidence from resting-state default mode network patterns".NeuroImage: Clinical 28(2021).
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