Literature DB >> 27741467

Reconfiguration of hub-level community structure in depressions: A follow-up study via diffusion tensor imaging.

Jiaolong Qin1, Haiyan Liu2, Maobin Wei1, Ke Zhao2, Jianhuai Chen2, Jingyu Zhu1, Xiangyu Shen1, Rui Yan2, Zhijian Yao3, Qing Lu4.   

Abstract

BACKGROUND: The role of abnormal communications among large-scale brain networks have been given increasing attentions in the pathophysiology of major depressive disorder (MDD). However, few studies have investigated the effect of antidepressant medication treatment on the information communication of structural brain networks, especially converged from the individual analysis.
METHODS: Nineteen unipolar MDD patients completed two diffusion tensor imaging (DTI) scans before and after 8-week treatment with selective serotonin reuptake inhibitor. DTI data of 37 matched healthy controls were acquired. We focused on a hub-level community structure network, and investigated whether it had differences on the whole structure and which regions drove these differences in terms of modular affiliation and hub role shift. Data were analyzed by the novel permutation network framework, which appraised the topological consistency of hubs and reserved an individual information.
RESULTS: Compared to the pre-treatment state, post-treatment patients exhibited increasing number of modular members in the modules that included the right medial superior frontal gyrus (SFGmed) or the thalamus. Moreover, the result suggested a hub role shift of the left insula from a provincial-hub before treatment to a connector-hub after treatment. Additionally, reduced inter-module degree in the right SFGmed was positively correlated with the reduced sum score of 17-item Hamilton depression rating scale at the follow-up.
CONCLUSIONS: Antidepressant medication treatment might be associated with modular reconfigurations of hubs within the fronto-limbic circuit. Moreover, increased inter-module connections of the left insula might improve its integration ability, promoting the remission of MDD. The correlation results of the right SFGmed suggested it might be a valuable indicator for treatment response.
Copyright © 2016 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Antidepressant medication treatment; Connectome; Diffusion tensor image; Hub-level community structure; Major depressive disorder

Mesh:

Substances:

Year:  2016        PMID: 27741467     DOI: 10.1016/j.jad.2016.09.048

Source DB:  PubMed          Journal:  J Affect Disord        ISSN: 0165-0327            Impact factor:   4.839


  5 in total

1.  Aberrant brain structural network and altered topological organization in minimal hepatic encephalopathy.

Authors:  Lu-Bin Gou; Wei Zhang; Da-Jing Guo; Wei-Jia Zhong; Xiao-Jia Wu; Zhi-Ming Zhou
Journal:  Diagn Interv Radiol       Date:  2020-05       Impact factor: 2.630

Review 2.  Brain structure alterations in depression: Psychoradiological evidence.

Authors:  Fei-Fei Zhang; Wei Peng; John A Sweeney; Zhi-Yun Jia; Qi-Yong Gong
Journal:  CNS Neurosci Ther       Date:  2018-03-05       Impact factor: 5.243

3.  Abnormal structural brain network and hemisphere-specific changes in bulimia nervosa.

Authors:  Li Wang; Kun Bi; Jing An; Meng Li; Ke Li; Qing-Mei Kong; Xue-Ni Li; Qing Lu; Tian-Mei Si
Journal:  Transl Psychiatry       Date:  2019-08-27       Impact factor: 6.222

4.  State-Independent and -Dependent Structural Connectivity Alterations in Depression.

Authors:  Yiming Fan; Jin Liu; Ling-Li Zeng; Qiangli Dong; Jianpo Su; Limin Peng; Hui Shen; Xiaowen Lu; Jinrong Sun; Liang Zhang; Mi Wang; Jugessur Raj; Bangshan Liu; Dewen Hu; Lingjiang Li
Journal:  Front Psychiatry       Date:  2020-11-30       Impact factor: 4.157

Review 5.  A lateralized model of the pain-depression dyad.

Authors:  Anne Margarette S Maallo; Eric A Moulton; Christine B Sieberg; Donald B Giddon; David Borsook; Scott A Holmes
Journal:  Neurosci Biobehav Rev       Date:  2021-06-06       Impact factor: 9.052

  5 in total

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