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Investigating executive control network and default mode network dysfunction in major depressive disorder
Zhao, Qinghua1; Swati, Zarnawab N. K.3; Metmer, Hichem2; Sang, Xiaoshuang3; Lu, Jianfeng3
Source PublicationNEUROSCIENCE LETTERS
ISSN0304-3940
2019-05-14
Volume701Pages:154-161
Corresponding AuthorZhao, Qinghua(qhzhao@nufe.edu.cn)
AbstractMajor depressive disorder (MDD) is a mental disorder that causes a persistent feeling of sadness and loss of interest. It affects how you feel, think and behave and can lead to a variety of emotional and physical problems. Previous investigated the MDD has primarily focused on interpreting the abnormal functional connectivity of different brain regions, rather than entire brain networks. Although recent studies have found depression-related abnormalities functional connectivity of the brain networks, it is not clear the certain brain regions or the various functional networks as a whole are involved in the emotional dysregulation of depression. Moreover, abnormal functional connectivity regions are well replicated research, however, default mode network (DMN) and executive control network (ECN) haven't received adequately examined in MDD. To address the above issues, in this paper, we adopt sparse inverse covariance estimation (SICE) approach to investigate the functional connectivity both DMN and ECN. Our experimental results show functional connectivity of ECN have significantly changed in MDD, where the anterior cingulate cortex (ACG.R) region and the thalamus region (THA.R) have shown increased functional connectivity compared with normal control, the superior frontal gyms (SFGmed.R) region has shown decreased functional connectivity. Moreover, the precuneus lobule (PCUN.L) region and posterior cingulate cortex (PCG.L) of DMN have shown increased functional connectivity. These results may suggest that MDD is associated with large-scale functional networks, rather than the portions of brain regions. These changed functional connectivity may provide more neuroimaging biomarker for MDD diagnosis.
KeywordMajor depressive disorder (MDD) Sparse representation Default mode network (DMN) Executive control network (ECN) Sparse inverse covariance estimation (SICE) Functional connectivity
DOI10.1016/j.neulet.2019.02.045
WOS KeywordSTATE FUNCTIONAL-MRI ; SPARSE REPRESENTATION ; UNIPOLAR DEPRESSION ; CONNECTIVITY ; REGRESSION ; SELECTION ; DISEASE ; CORTEX ; MOOD ; SELF
Indexed BySCI
Language英语
Funding Project111 Project[B13022] ; Natural Science Foundation of Jiangsu Province of China[20131351] ; Chinese scholarship council
Funding Organization111 Project ; Natural Science Foundation of Jiangsu Province of China ; Chinese scholarship council
WOS Research AreaNeurosciences & Neurology
WOS SubjectNeurosciences
WOS IDWOS:000468708000025
PublisherELSEVIER IRELAND LTD
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Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/24195
Collection中国科学院自动化研究所
Corresponding AuthorZhao, Qinghua
Affiliation1.Nanjing Univ Finance & Econ, Coll Informat Engn, Nanjing 210023, Jiangsu, Peoples R China
2.Univ Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
3.Nanjing Univ Sci & Technol, Sch Comp Sci & Engn, Nanjing 210094, Jiangsu, Peoples R China
Recommended Citation
GB/T 7714
Zhao, Qinghua,Swati, Zarnawab N. K.,Metmer, Hichem,et al. Investigating executive control network and default mode network dysfunction in major depressive disorder[J]. NEUROSCIENCE LETTERS,2019,701:154-161.
APA Zhao, Qinghua,Swati, Zarnawab N. K.,Metmer, Hichem,Sang, Xiaoshuang,&Lu, Jianfeng.(2019).Investigating executive control network and default mode network dysfunction in major depressive disorder.NEUROSCIENCE LETTERS,701,154-161.
MLA Zhao, Qinghua,et al."Investigating executive control network and default mode network dysfunction in major depressive disorder".NEUROSCIENCE LETTERS 701(2019):154-161.
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