Institutional Repository, Institute of Psychology, Chinese Academy of Sciences
Common and unique alterations of functional connectivity in major depressive disorder and bipolar disorder | |
Yu, Ai-Hong1,2,3,4; Gao, Qing-Lin5,6,7; Deng, Zhao-Yu5,8; Dang, Yi5,6,7; Yan, Chao-Gan5,6,7,8,9; Chen, Zhen-Zhu2,3,4; Li, Feng2,3,4; Zhao, Shu-Ying1,2,3,4; Liu, Yue1,2,3,4; Bo, Qi-Jing2,3,4,10 | |
通讯作者 | Bo, Qi-Jing(bqj718@163.com) |
摘要 | ObjectiveMajor 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. |
关键词 | bipolar disorder brain network functional connectivity large scale major depressive disorder resting-state fMRI |
2023-05-10 | |
语种 | 英语 |
DOI | 10.1111/bdi.13336 |
发表期刊 | BIPOLAR DISORDERS
![]() |
ISSN | 1398-5647 |
页码 | 12 |
收录类别 | SCI |
出版者 | WILEY |
WOS关键词 | NETWORK ; SCALE ; METAANALYSIS ; SCHIZOPHRENIA ; DISTINGUISH ; SYSTEM |
WOS研究方向 | Neurosciences & Neurology ; Psychiatry |
WOS类目 | Clinical Neurology ; Neurosciences ; Psychiatry |
WOS记录号 | WOS:000983923000001 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.psych.ac.cn/handle/311026/45363 |
通讯作者 | Bo, Qi-Jing |
作者单位 | 1.Capital Med Univ, Beijing Anding Hosp, Dept Radiol, Beijing, Peoples R China 2.Capital Med Univ, Natl Clin Res Ctr Mental Disorders, Beijing, Peoples R China 3.Capital Med Univ, Beijing Anding Hosp, Beijing Key Lab Mental Disorders, Beijing, Peoples R China 4.Capital Med Univ, Adv Innovat Ctr Human Brain Protect, Beijing, Peoples R China 5.Chinese Acad Sci, Inst Psychol, Key Lab Behav Sci, Beijing, Peoples R China 6.Chinese Acad Sci, Inst Psychol, Magnet Resonance Imaging Res Ctr, Beijing, Peoples R China 7.Chinese Acad Sci, Inst Psychol, Res Ctr Lifespan Dev Mind & Brain, Beijing, Peoples R China 8.Univ Chinese Acad Sci, Dept Psychol, Beijing, Peoples R China 9.NYU, Sch Med, Dept Child & Adolescent Psychiat, New York, NY USA 10.Capital Med Univ, Beijing Anding Hosp, 5 Ankang Hutong, Beijing 100088, Peoples R China |
推荐引用方式 GB/T 7714 | Yu, Ai-Hong,Gao, Qing-Lin,Deng, Zhao-Yu,et al. Common and unique alterations of functional connectivity in major depressive disorder and bipolar disorder[J]. BIPOLAR DISORDERS,2023:12. |
APA | Yu, Ai-Hong.,Gao, Qing-Lin.,Deng, Zhao-Yu.,Dang, Yi.,Yan, Chao-Gan.,...&Bo, Qi-Jing.(2023).Common and unique alterations of functional connectivity in major depressive disorder and bipolar disorder.BIPOLAR DISORDERS,12. |
MLA | Yu, Ai-Hong,et al."Common and unique alterations of functional connectivity in major depressive disorder and bipolar disorder".BIPOLAR DISORDERS (2023):12. |
条目包含的文件 | 条目无相关文件。 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论