Literature DB >> 25092218

Disrupted structural connectivity network in treatment-naive depression.

Zhiliang Long1, Xujun Duan1, Yifeng Wang1, Feng Liu1, Ling Zeng1, Jing-Ping Zhao2, Huafu Chen3.   

Abstract

BACKGROUND: Neuroimaging studies suggest that treatment-naive depression (TD) is characterized by abnormal functional connectivity between specific brain regions. However, the question surrounding the structural basis of functional aberrations in TD patients still remains.
METHODS: In the present study, diffusion tensor imaging tractography was employed to construct structural connectivity networks in 22 early adult-onset, first-episode TD patients and 19 healthy controls (HC). Graph theory and network-based statistic (NBS) were then employed to investigate systematically the alteration of whole brain structural topological organization and structural connectivity in TD patients.
RESULTS: Graph theoretical analysis revealed that, compared with HC, TD patients exhibited altered structural topological measures, including decreased shortest path length, normalized clustering coefficient, normalized shortest path length, and small-worldness, as well as increased global and local efficiency. NBS results further revealed that TD patients showed two altered structural sub-networks. One sub-network mainly involved connections between the right orbitofrontal cortex (OFC) and the right insula, putamen, caudate, hippocampus, fusiform gyrus, inferior temporal gyrus and lingual gyrus. The other sub-network mainly included connections between the left OFC and the left gyrus rectus, insula, putamen, caudate, thalamus, pallidum and middle occipital gyrus.
CONCLUSIONS: The findings suggest that TD patients exhibit a disruption in the topological organization of structural brain networks. The altered orbitofrontal connectivity may particularly contribute to the manifestation of symptoms in TD patients. The abnormalities may facilitate understanding of the functional disturbances of mood and cognition in the disease.
Copyright © 2014 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Depression; Diffusion tensor imaging tractography; Graph theoretical analysis; Small-worldness; Structural connectivity

Mesh:

Year:  2014        PMID: 25092218     DOI: 10.1016/j.pnpbp.2014.07.007

Source DB:  PubMed          Journal:  Prog Neuropsychopharmacol Biol Psychiatry        ISSN: 0278-5846            Impact factor:   5.067


  21 in total

1.  Anomalous single-subject based morphological cortical networks in drug-naive, first-episode major depressive disorder.

Authors:  Taolin Chen; Keith M Kendrick; Jinhui Wang; Min Wu; Kaiming Li; Xiaoqi Huang; Yuejia Luo; Su Lui; John A Sweeney; Qiyong Gong
Journal:  Hum Brain Mapp       Date:  2017-02-08       Impact factor: 5.038

2.  Small-world indices via network efficiency for brain networks from diffusion MRI.

Authors:  Lan Lin; Zhenrong Fu; Cong Jin; Miao Tian; Shuicai Wu
Journal:  Exp Brain Res       Date:  2018-07-06       Impact factor: 1.972

3.  Psychoradiological patterns of small-world properties and a systematic review of connectome studies of patients with 6 major psychiatric disorders.

Authors:  Xueling Suo; Du Lei; Lei Li; Wenbin Li; Jing Dai; Song Wang; Manxi He; Hongyan Zhu; Graham J Kemp; Qiyong Gong
Journal:  J Psychiatry Neurosci       Date:  2018-06-28       Impact factor: 6.186

4.  Bilaterally reduced claustral volumes in schizophrenia and major depressive disorder: a morphometric postmortem study.

Authors:  Hans-Gert Bernstein; Anna Ortmann; Henrik Dobrowolny; Johann Steiner; Ralf Brisch; Tomasz Gos; Bernhard Bogerts
Journal:  Eur Arch Psychiatry Clin Neurosci       Date:  2015-03-31       Impact factor: 5.270

5.  Altered white matter structural networks in drug-naïve patients with obsessive-compulsive disorder.

Authors:  Cong Zhou; Liangliang Ping; Wei Chen; Mengxin He; Jian Xu; Zonglin Shen; Yi Lu; Binli Shang; Xiufeng Xu; Yuqi Cheng
Journal:  Brain Imaging Behav       Date:  2021-04       Impact factor: 3.978

6.  Psychoradiological patterns of small-world properties and a systematic review of connectome studies of patients with 6 major psychiatric disorders

Authors:  Xueling Suo; Du Lei; Lei Li; Wenbin Li; Jing Dai; Song Wang; Manxi He; Hongyan Zhu; Graham J. Kemp; Qiyong Gong
Journal:  J Psychiatry Neurosci       Date:  2018-11-01       Impact factor: 6.186

Review 7.  A brain network model for depression: From symptom understanding to disease intervention.

Authors:  Bao-Juan Li; Karl Friston; Maria Mody; Hua-Ning Wang; Hong-Bing Lu; De-Wen Hu
Journal:  CNS Neurosci Ther       Date:  2018-06-21       Impact factor: 5.243

8.  Girls' brain structural connectivity in late adolescence relates to history of depression symptoms.

Authors:  Rajpreet Chahal; David G Weissman; Scott Marek; Shawn A Rhoads; Alison E Hipwell; Erika E Forbes; Kate Keenan; Amanda E Guyer
Journal:  J Child Psychol Psychiatry       Date:  2019-12-26       Impact factor: 8.982

Review 9.  Is there Progress? An Overview of Selecting Biomarker Candidates for Major Depressive Disorder.

Authors:  Juan Joseph Young; Tim Silber; Davide Bruno; Isaac Robert Galatzer-Levy; Nunzio Pomara; Charles Raymond Marmar
Journal:  Front Psychiatry       Date:  2016-04-25       Impact factor: 4.157

10.  The Explorative Analysis to Revise Fear Network Model for Panic Disorder: Functional Connectome Statistics.

Authors:  Chien-Han Lai; Yu-Te Wu
Journal:  Medicine (Baltimore)       Date:  2016-05       Impact factor: 1.889

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