Ventral attention-network effective connectivity predicts individual differences in adolescent depression

•We enclosed the relationship between depression and within network effective connectivity of the ventral attention network in adolescents.•We explored the neural correlates of attention bias in higher self-reported depression disorder of adolescents. Stimulus-driven negative attention bias is a cen...

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Veröffentlicht in:Journal of affective disorders 2019-06, Vol.252, p.55-59
Hauptverfasser: Liu, Jie, Xu, Pengfei, Zhang, Jingyuan, Jiang, Nengzhi, Li, Xinying, Luo, Yuejia
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container_end_page 59
container_issue
container_start_page 55
container_title Journal of affective disorders
container_volume 252
creator Liu, Jie
Xu, Pengfei
Zhang, Jingyuan
Jiang, Nengzhi
Li, Xinying
Luo, Yuejia
description •We enclosed the relationship between depression and within network effective connectivity of the ventral attention network in adolescents.•We explored the neural correlates of attention bias in higher self-reported depression disorder of adolescents. 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. We employed resting-state fMRI to assess the relationship between directional effective connectivity within the VAN and depression scores in 216 healthy adolescents. 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. 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. 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.
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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. We employed resting-state fMRI to assess the relationship between directional effective connectivity within the VAN and depression scores in 216 healthy adolescents. 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. 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. 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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. 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. 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subjects Adolescent
Attention bias
Attentional Bias - physiology
Cerebral Cortex - physiopathology
Depression
Depression - physiopathology
Female
Functional Neuroimaging
Humans
Individuality
Magnetic Resonance Imaging
Male
Neural Pathways - physiology
Resting-state fMRI
Stochastic dynamic causal modelling
Ventral attention network
title Ventral attention-network effective connectivity predicts individual differences in adolescent depression
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