Literature DB >> 33221713

Shared and specific dynamics of brain segregation and integration in bipolar disorder and major depressive disorder: A resting-state functional magnetic resonance imaging study.

Zhenye Luo1, Guanmao Chen1, Yanbin Jia2, Shuming Zhong2, Jiaying Gong3, Feng Chen1, Jurong Wang1, Zhangzhang Qi1, Xia Liu4, Li Huang5, Ying Wang6.   

Abstract

BACKGROUND: When bipolar disorder (BD) presents as the depressive state, it is often misdiagnosed as major depressive disorder (MDD). However, few studies have focused on dynamic differences in local brain activity and connectivity between BD and MDD. Therefore, the present study explored shared and specific patterns of abnormal dynamic brain segregation and integration in BD and MDD patients.
METHODS: BD Patients (n = 106), MDD patients (n = 114), and 130 healthy controls (HCs) underwent resting state functional magnetic resonance imaging (fMRI). We first used a sliding window analysis to evaluate the dynamic amplitude of low-frequency fluctuations (dALFF) and, based on the altered dALFF, further analyzed the dynamic functional connectivity (dFC) using a seed-based approach.
RESULTS: Both the BD and MDD groups showed decreased temporal variability of the dALFF (less dynamic segregation) in the bilateral posterior cingulate cortex (PCC)/precuneus compared with the HCs. The MDD group showed increased temporal variability of the dALFF (more dynamic segregation) in the left putamen compared with the controls, but there was no significant difference between the BD and HCs. The dFC analysis also showed that both the BD and MDD groups had reduced dFC (less dynamic integration) between the bilateral PCC/ precuneus and the left inferior parietal lobule compared with the HCs. LIMITATIONS: This study was cross-sectional and did not examine data from remitted BD and MDD patients.
CONCLUSION: Our findings indicated disrupted dynamic balance between segregation and integration within the default mode network in both BD and MDD. Moreover, we found MDD-specific abnormal brain dynamics in the putamen.
Copyright © 2020 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Amplitude of low-frequency fluctuations; Bipolar disorder; Dynamics; Functional connectivity; Major depressive disorder

Mesh:

Year:  2020        PMID: 33221713     DOI: 10.1016/j.jad.2020.11.012

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


  4 in total

1.  Decreased Connectivity in Precuneus of the Ventral Attentional Network in First-Episode, Treatment-Naïve Patients With Major Depressive Disorder: A Network Homogeneity and Independent Component Analysis.

Authors:  Liqiong Luo; Xijun Lei; Canmin Zhu; Jun Wu; Hongwei Ren; Jing Zhan; Yongzhang Qin
Journal:  Front Psychiatry       Date:  2022-05-27       Impact factor: 5.435

2.  More Than Just Statics: Temporal Dynamic Changes in Inter- and Intrahemispheric Functional Connectivity in First-Episode, Drug-Naive Patients With Major Depressive Disorder.

Authors:  Yu Jiang; Yuan Chen; Ruiping Zheng; Bingqian Zhou; Ying Wei; Ankang Gao; Yarui Wei; Shuying Li; Jinxia Guo; Shaoqiang Han; Yong Zhang; Jingliang Cheng
Journal:  Front Hum Neurosci       Date:  2022-04-08       Impact factor: 3.169

3.  Aberrant Dynamic Functional Connectivity of Posterior Cingulate Cortex Subregions in Major Depressive Disorder With Suicidal Ideation.

Authors:  Weicheng Li; Chengyu Wang; Xiaofeng Lan; Ling Fu; Fan Zhang; Yanxiang Ye; Haiyan Liu; Kai Wu; Guohui Lao; Jun Chen; Guixiang Li; Yanling Zhou; Yuping Ning
Journal:  Front Neurosci       Date:  2022-07-19       Impact factor: 5.152

4.  Shared and distinct patterns of dynamical degree centrality in bipolar disorder across different mood states.

Authors:  Fuping Sun; Zhening Liu; Jun Yang; Zebin Fan; Chang Xi; Peng Cheng; Zhong He; Jie Yang
Journal:  Front Psychiatry       Date:  2022-07-27       Impact factor: 5.435

  4 in total

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