中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Ventral attention-network effective connectivity predicts individual differences in adolescent depression

文献类型:期刊论文

作者Liu, Jie1,2,3; Xu, Pengfei1,3; Zhang, Jingyuan1; Jiang, Nengzhi2,4; Li, Xinying2,4; Luo, Yuejia1,5,6
刊名JOURNAL OF AFFECTIVE DISORDERS
出版日期2019-06-01
卷号252页码:55-59
关键词Ventral attention network Depression Attention bias Resting-state fMRI Stochastic dynamic causal modelling
ISSN号0165-0327
DOI10.1016/j.jad.2019.04.033
产权排序2
文献子类article
英文摘要

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.

WOS关键词STATE FUNCTIONAL CONNECTIVITY ; SELECTIVE ATTENTION ; ANXIETY DISORDERS ; BRAIN ; METAANALYSIS ; REGRESSION ; HISTORY ; IMPACT ; THREAT ; BIASES
资助项目National Key Basic Research Program of China[2014CB846100] ; Natural Science Foundation of China[31530031] ; Natural Science Foundation of China[31700977]
WOS研究方向Neurosciences & Neurology ; Psychiatry
语种英语
WOS记录号WOS:000467801200008
出版者ELSEVIER SCIENCE BV
资助机构National Key Basic Research Program of China ; Natural Science Foundation of China
源URL[http://ir.psych.ac.cn/handle/311026/29243]  
专题心理研究所_中国科学院心理健康重点实验室
通讯作者Li, Xinying; Luo, Yuejia
作者单位1.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
推荐引用方式
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.

入库方式: OAI收割

来源:心理研究所

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