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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
第一作者Liu, Jie
通讯作者邮箱x. li(lixy@psych.ac.cn) ; y. luo(luoyj@szu.edu.cn)
心理所单位排序2
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.

关键词Ventral attention network Depression Attention bias Resting-state fMRI Stochastic dynamic causal modelling
2019-06-01
语种英语
DOI10.1016/j.jad.2019.04.033
发表期刊JOURNAL OF AFFECTIVE DISORDERS
ISSN0165-0327
卷号252页码:55-59
期刊论文类型article
收录类别SCI
资助项目National Key Basic Research Program of China[2014CB846100] ; Natural Science Foundation of China[31530031] ; Natural Science Foundation of China[31700977]
出版者ELSEVIER SCIENCE BV
WOS关键词STATE FUNCTIONAL CONNECTIVITY ; SELECTIVE ATTENTION ; ANXIETY DISORDERS ; BRAIN ; METAANALYSIS ; REGRESSION ; HISTORY ; IMPACT ; THREAT ; BIASES
WOS研究方向Neurosciences & Neurology ; Psychiatry
WOS类目Clinical Neurology ; Psychiatry
WOS记录号WOS:000467801200008
资助机构National Key Basic Research Program of China ; Natural Science Foundation of China
引用统计
被引频次:17[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.psych.ac.cn/handle/311026/29243
专题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
第一作者单位中国科学院心理健康重点实验室
通讯作者单位中国科学院心理健康重点实验室
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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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