Common and unique alterations of functional connectivity in major depressive disorder and bipolar disorder

Author:

Yu Ai‐Hong12,Gao Qing‐Lin34,Deng Zhao‐Yu35,Dang Yi34,Yan Chao‐Gan3456,Chen Zhen‐Zhu2,Li Feng2,Zhao Shu‐Ying12,Liu Yue12,Bo Qi‐Jing2ORCID

Affiliation:

1. Department of Radiology, Beijing Anding Hospital Capital Medical University Beijing China

2. The National Clinical Research Center for Mental Disorders and Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital and the Advanced Innovation Center for Human Brain Protection Capital Medical University Beijing China

3. Key Laboratory of Behavioral Science, Institute of Psychology Chinese Academy of Sciences Beijing China

4. Magnetic Resonance Imaging Research Center and Research Center for Lifespan Development of Mind and Brain, Institute of Psychology Chinese Academy of Sciences Beijing China

5. Department of Psychology University of Chinese Academy of Sciences Beijing China

6. Department of Child and Adolescent Psychiatry New York University School of Medicine New York New York United States

Abstract

AbstractObjectiveMajor depressive disorder (MDD) and bipolar disorder (BD) are considered whole‐brain disorders with some common clinical and neurobiological features. It is important to investigate neural mechanisms to distinguish between the two disorders. However, few studies have explored the functional dysconnectivity between the two disorders from the whole brain level.MethodsIn this study, 117 patients with MDD, 65 patients with BD, and 116 healthy controls completed resting‐state functional magnetic resonance imaging (R‐fMRI) scans. Both edge‐based network construction and large‐scale network analyses were applied.ResultsResults found that both the BD and MDD groups showed decreased FC in the whole brain network. The shared aberrant network across patients involves the visual network (VN), sensorimotor network (SMN), dorsal attention network (DAN), and ventral attention network (VAN), which is related to the processing of external stimuli. The default mode network (DMN) and the limbic network (LN) abnormalities were only found in patients with MDD. Furthermore, results showed the highest decrease in edges of patients with MDD in between‐network FC in SMN–VN, whereas in VAN–VN of patients with BD.ConclusionsOur findings indicated that both MDD and BD are extensive abnormal brain network diseases, mainly aberrant in those brain networks correlated to the processing of external stimuli, especially the attention network. Specific altered functional connectivity also was found in MDD and BD groups, respectively. These results may provide possible trait markers to distinguish the two disorders.

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Biological Psychiatry,Psychiatry and Mental health

Reference87 articles.

1. The Epidemiology of Major Depressive Disorder

2. A Dynamic Approach to Depression Treatment Prediction

3. Institute of Health Metrics and Evaluation.Global health data exchange (GHDx).2021Accessed May 1 2021.http://ghdx.healthdata.org/gbd‐results‐tool?params=gbd‐api‐2019‐permalink/d780dffbe8a381b25e1416884959e88b

4. The prevalence and burden of bipolar disorder: findings from the Global Burden of Disease Study 2013

5. Altered dynamic functional connectivity across mood states in bipolar disorder

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3