title: Reconfiguration of hub-level community structure in depressions: A follow-up study via diffusion tensor imaging.
abstract: 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.
  
  
  
  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.
  
  
  
  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.
  
  
  
  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.
authors.affiliation: Key Laboratory of Child Development and Learning Science (Ministry of Education), Research Centre for Learning Science, Southeast University, Si Pailou 2, Nanjing 210096, China.
authors.forename: Jiaolong
authors.initials: J
authors.lastname: Qin
authors.affiliation: Department of Psychiatry, Affiliated Nanjing Brain Hospital of Nanjing Medical University, No. 264 Guangzhou Road, Nanjing 210029, China.
authors.forename: Haiyan
authors.initials: H
authors.lastname: Liu
authors.affiliation: Key Laboratory of Child Development and Learning Science (Ministry of Education), Research Centre for Learning Science, Southeast University, Si Pailou 2, Nanjing 210096, China.
authors.forename: Maobin
authors.initials: M
authors.lastname: Wei
authors.affiliation: Department of Psychiatry, Affiliated Nanjing Brain Hospital of Nanjing Medical University, No. 264 Guangzhou Road, Nanjing 210029, China.
authors.forename: Ke
authors.initials: K
authors.lastname: Zhao
authors.affiliation: Department of Psychiatry, Affiliated Nanjing Brain Hospital of Nanjing Medical University, No. 264 Guangzhou Road, Nanjing 210029, China.
authors.forename: Jianhuai
authors.initials: J
authors.lastname: Chen
authors.affiliation: Key Laboratory of Child Development and Learning Science (Ministry of Education), Research Centre for Learning Science, Southeast University, Si Pailou 2, Nanjing 210096, China.
authors.forename: Jingyu
authors.initials: J
authors.lastname: Zhu
authors.affiliation: Key Laboratory of Child Development and Learning Science (Ministry of Education), Research Centre for Learning Science, Southeast University, Si Pailou 2, Nanjing 210096, China.
authors.forename: Xiangyu
authors.initials: X
authors.lastname: Shen
authors.affiliation: Department of Psychiatry, Affiliated Nanjing Brain Hospital of Nanjing Medical University, No. 264 Guangzhou Road, Nanjing 210029, China.
authors.forename: Rui
authors.initials: R
authors.lastname: Yan
authors.affiliation: Department of Psychiatry, Affiliated Nanjing Brain Hospital of Nanjing Medical University, No. 264 Guangzhou Road, Nanjing 210029, China; Nanjing Brain Hospital, Nanjing University Medical School, 22 Hankou Road, Nanjing 210093, China. Electronic address: zjyao@njmu.edu.cn.
authors.forename: Zhijian
authors.initials: Z
authors.lastname: Yao
authors.affiliation: Key Laboratory of Child Development and Learning Science (Ministry of Education), Research Centre for Learning Science, Southeast University, Si Pailou 2, Nanjing 210096, China. Electronic address: luq@seu.edu.cn.
authors.forename: Qing
authors.initials: Q
authors.lastname: Lu
mesh_terms: D000328:Adult; D000928:Antidepressive Agents / Q000627:therapeutic use; D001921:Brain / Q000503:physiopathology; D016022:Case-Control Studies; D002540:Cerebral Cortex / Q000503:physiopathology*; D003865:Major Depressive Disorder / Q000188:drug therapy / Q000473:pathology*; D056324:Diffusion Tensor Imaging / Q000379:methods; D005260:Female; D005500:Follow-Up Studies; D005625:Frontal Lobe / Q000503:physiopathology*; D006801:Humans; D008297:Male; D008875:Middle Aged; D055815:Young Adult
chemical_list: D000928:Antidepressive Agents
keywords: Antidepressant medication treatment; Connectome; Diffusion tensor image; Hub-level community structure; Major depressive disorder