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Ventral attention-network effective connectivity predicts individual differences in adolescent depression
Liu, Jie1,2,3; Xu, Pengfei1,3; Zhang, Jingyuan1; Jiang, Nengzhi2,4; Li, Xinying2,4; Luo, Yuejia1,5,6
First AuthorLiu, Jie
2019-06-01
Source PublicationJOURNAL OF AFFECTIVE DISORDERS
Correspondent Emailx. li(lixy@psych.ac.cn) ; y. luo(luoyj@szu.edu.cn)
ISSN0165-0327
Subtypearticle
Volume252Pages:55-59
Contribution Rank2
Abstract

Background: Stimulus-driven negative attention bias is a central deficit in depression and might play an important role in vulnerability to depression Adolescents are susceptible to depression. Thus, investigating the neural correlates of attention bias in adolescents is a critical step for identifying neural markers of early onset of depression. Previous studies have shown that the ventral attention network (VAN), which includes bilateral ventrolateral prefrontal cortex (VLPFC) and bilateral temporal-parietal junction (TPJ), is the key brain network for stimulus-driven attention. However, the relationship between depression and effective connectivity within the VAN in adolescents is poorly understood. Method: We employed resting-state fMRI to assess the relationship between directional effective connectivity within the VAN and depression scores in 216 healthy adolescents. Results: Using stochastic dynamic modeling, we found that individuals who exhibited higher self-reported depression showed stronger effective connectivity between right VLPFC and left TPJ within the VAN. Limitation: The level of depression in this study was assessed with self-reported questionnaire. This measure might be more influenced by current mood in adolescents than that in adults. Future studies should emplo more objective measures to index levels of depression. Conclusions: Our findings indicate that effective connectivity between right VLPFC and left TPJ could at least partially serve as a biomarker for bottom-up processing of depression in adolescents.

KeywordVentral attention network Depression Attention bias Resting-state fMRI Stochastic dynamic causal modelling
DOI10.1016/j.jad.2019.04.033
Indexed BySCI
Language英语
Funding OrganizationNational Key Basic Research Program of China ; Natural Science Foundation of China
Funding ProjectNational Key Basic Research Program of China[2014CB846100] ; Natural Science Foundation of China[31530031] ; Natural Science Foundation of China[31700977]
WOS Research AreaNeurosciences & Neurology ; Psychiatry
WOS SubjectClinical Neurology ; Psychiatry
WOS IDWOS:000467801200008
PublisherELSEVIER SCIENCE BV
WOS KeywordSTATE FUNCTIONAL CONNECTIVITY ; SELECTIVE ATTENTION ; ANXIETY DISORDERS ; BRAIN ; METAANALYSIS ; REGRESSION ; HISTORY ; IMPACT ; THREAT ; BIASES
Citation statistics
Document Type期刊论文
Identifierhttp://ir.psych.ac.cn/handle/311026/29243
Collection中国科学院心理健康重点实验室
Corresponding AuthorLi, Xinying; Luo, Yuejia
Affiliation1.Shenzhen Univ, Coll Psychol & Sociol, Shenzhen, Peoples R China
2.Chinese Acad Sci, Inst Psychol, Key Lab Mental Hlth, Beijing, Peoples R China
3.Shenzhen Univ, Ctr Brain Disorders & Cognit Neurosci, Shenzhen, Peoples R China
4.Univ Chinese Acad Sci, Dept Psychol, Beijing, Peoples R China
5.Shenzhen Inst Neurosci, Ctr Emot & Brain, Shenzhen, Peoples R China
6.Southern Med Univ, Dept Psychol, Guangzhou, Guangdong, Peoples R China
First Author AffilicationKey Laboratory of Mental Health, CAS
Corresponding Author AffilicationKey Laboratory of Mental Health, CAS
Recommended Citation
GB/T 7714
Liu, Jie,Xu, Pengfei,Zhang, Jingyuan,et al. Ventral attention-network effective connectivity predicts individual differences in adolescent depression[J]. JOURNAL OF AFFECTIVE DISORDERS,2019,252:55-59.
APA Liu, Jie,Xu, Pengfei,Zhang, Jingyuan,Jiang, Nengzhi,Li, Xinying,&Luo, Yuejia.(2019).Ventral attention-network effective connectivity predicts individual differences in adolescent depression.JOURNAL OF AFFECTIVE DISORDERS,252,55-59.
MLA Liu, Jie,et al."Ventral attention-network effective connectivity predicts individual differences in adolescent depression".JOURNAL OF AFFECTIVE DISORDERS 252(2019):55-59.
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