PMID- 32818534
OWN - NLM
STAT- MEDLINE
DCOM- 20220120
LR  - 20220120
IS  - 1878-4216 (Electronic)
IS  - 0278-5846 (Linking)
VI  - 108
DP  - 2021 Jun 8
TI  - Disrupted rich-club network organization and individualized identification of 
      patients with major depressive disorder.
PG  - 110074
LID - S0278-5846(20)30390-0 [pii]
LID - 10.1016/j.pnpbp.2020.110074 [doi]
AB  - BACKGROUND: Altered structural and functional brain networks have been 
      extensively studied in major depressive disorder (MDD) patients. However, whether 
      the differential connectivity patterns in the rich-club organization, assessed 
      from structural brain network analyses, and the associated connections of these 
      regions are particularly susceptible to depression remain unclear. METHODS: We 
      acquired resting-state functional magnetic resonance imaging (R-fMRI) and 
      diffusion tensor imaging (DTI) from 31 unmedicated MDD patients and 32 
      cognitively normal (CN) subjects and completed a series of neuropsychological 
      tests. Rich-club organization, network properties, and coupling between 
      structural and functional connectivity (SC-FC) were explored. Furthermore, 
      whether these indices could potentially deliver effective clinical predictive 
      value for MDD patients were examined. RESULTS: The MDD patients showed disrupted 
      structural rich-club organization and modularity, as well as a distinct 
      correlation pattern between global efficiency and rich-club organization. 
      Importantly, reduced SC-FC coupling, reflecting a decreased agreement in the 
      integrity of the networks, was significantly associated with the strength of 
      structural rich-club connections in the MDD patients. Furthermore, the disrupted 
      structural rich-club organization, which was primarily located in the default 
      mode network (DMN) and executive control network (ECN), emerged as a valuable 
      indicator to distinguish between MDD and CN. CONCLUSIONS: Findings of this study 
      identified that the disrupted rich-club structural organization significantly 
      influenced brain structural network modularity and integrity and could serve as a 
      promising biological marker for the identification of MDD patients.
CI  - Copyright (c) 2020 Elsevier Inc. All rights reserved.
FAU - Liu, Xinyi
AU  - Liu X
AD  - Department of Neurology, Affiliated ZhongDa Hospital, School of Medicine, 
      Southeast University, Nanjing, Jiangsu 210009, China.
FAU - He, Cancan
AU  - He C
AD  - Department of Neurology, Affiliated ZhongDa Hospital, School of Medicine, 
      Southeast University, Nanjing, Jiangsu 210009, China.
FAU - Fan, Dandan
AU  - Fan D
AD  - Department of Neurology, Affiliated ZhongDa Hospital, School of Medicine, 
      Southeast University, Nanjing, Jiangsu 210009, China.
FAU - Zhu, Yao
AU  - Zhu Y
AD  - Department of Neurology, Affiliated ZhongDa Hospital, School of Medicine, 
      Southeast University, Nanjing, Jiangsu 210009, China.
FAU - Zang, Feifei
AU  - Zang F
AD  - Department of Neurology, Affiliated ZhongDa Hospital, School of Medicine, 
      Southeast University, Nanjing, Jiangsu 210009, China.
FAU - Wang, Qing
AU  - Wang Q
AD  - Department of Neurology, Affiliated ZhongDa Hospital, School of Medicine, 
      Southeast University, Nanjing, Jiangsu 210009, China.
FAU - Zhang, Haisan
AU  - Zhang H
AD  - Psychology School of Xinxiang Medical University, Xinxiang, Henan 453003, China; 
      Xinxiang Key Laboratory of Multimodal Brain Imaging, Henan Provincial Mental 
      Hospital, Xinxiang Medical University, Xinxiang, Henan 45300, China; Department 
      of Psychiatry, Henan Provincial Mental Hospital, Xinxiang Medical University, 
      Xinxiang, Henan 45300, China.
FAU - Zhang, Zhijun
AU  - Zhang Z
AD  - Department of Neurology, Affiliated ZhongDa Hospital, School of Medicine, 
      Southeast University, Nanjing, Jiangsu 210009, China; Neuropsychiatric Institute, 
      Affiliated ZhongDa Hospital, Southeast University, Nanjing, Jiangsu 210009, 
      China.
FAU - Zhang, Hongxing
AU  - Zhang H
AD  - Psychology School of Xinxiang Medical University, Xinxiang, Henan 453003, China; 
      Xinxiang Key Laboratory of Multimodal Brain Imaging, Henan Provincial Mental 
      Hospital, Xinxiang Medical University, Xinxiang, Henan 45300, China; Department 
      of Psychiatry, Henan Provincial Mental Hospital, Xinxiang Medical University, 
      Xinxiang, Henan 45300, China. Electronic address: ZHX166666@163.com.
FAU - Xie, Chunming
AU  - Xie C
AD  - Department of Neurology, Affiliated ZhongDa Hospital, School of Medicine, 
      Southeast University, Nanjing, Jiangsu 210009, China; Neuropsychiatric Institute, 
      Affiliated ZhongDa Hospital, Southeast University, Nanjing, Jiangsu 210009, 
      China. Electronic address: chmxie@163.com.
LA  - eng
PT  - Journal Article
PT  - Research Support, Non-U.S. Gov't
DEP - 20200818
PL  - England
TA  - Prog Neuropsychopharmacol Biol Psychiatry
JT  - Progress in neuro-psychopharmacology & biological psychiatry
JID - 8211617
SB  - IM
MH  - Adult
MH  - Brain/*diagnostic imaging/physiopathology
MH  - Connectome/methods
MH  - Depressive Disorder, Major/*diagnostic imaging/physiopathology/psychology
MH  - Diffusion Tensor Imaging/*methods
MH  - Female
MH  - Humans
MH  - Magnetic Resonance Imaging/methods
MH  - Male
MH  - Nerve Net/*diagnostic imaging/physiopathology
MH  - *Support Vector Machine
OTO - NOTNLM
OT  - Brain structural connectome
OT  - Major depressive disorder
OT  - Network efficiency
OT  - Rich club organization
EDAT- 2020/08/21 06:00
MHDA- 2022/01/21 06:00
CRDT- 2020/08/21 06:00
PHST- 2020/01/31 00:00 [received]
PHST- 2020/07/14 00:00 [revised]
PHST- 2020/08/10 00:00 [accepted]
PHST- 2020/08/21 06:00 [pubmed]
PHST- 2022/01/21 06:00 [medline]
PHST- 2020/08/21 06:00 [entrez]
AID - S0278-5846(20)30390-0 [pii]
AID - 10.1016/j.pnpbp.2020.110074 [doi]
PST - ppublish
SO  - Prog Neuropsychopharmacol Biol Psychiatry. 2021 Jun 8;108:110074. doi: 
      10.1016/j.pnpbp.2020.110074. Epub 2020 Aug 18.