4.7 Article

Blunted medial prefrontal cortico-limbic reward-related effective connectivity and depression

期刊

BRAIN
卷 143, 期 -, 页码 1946-1956

出版社

OXFORD UNIV PRESS
DOI: 10.1093/brain/awaa106

关键词

RDoC; effective connectivity; reinforcement learning; MDD; DCM

资金

  1. Wellcome Trust [104036/Z/14/Z]
  2. China Scholarship Council [201506040037]
  3. National Institutes of Health [DA027764]
  4. Lister Institute Prize Fellowship 2016-2021
  5. Dr Mortimer and Theresa Sackler Foundation
  6. Centre for Cognitive Ageing and Cognitive Epidemiology
  7. Medical Research Council [MR/K026992/1]
  8. Biotechnology and Biological Sciences Research Council [MR/K026992/1]
  9. Royal College of Physicians of Edinburgh John, Margaret, Alfred and Stewart Sim fellowship
  10. University of Edinburgh, Edinburgh Scientific Academic TmPFCk College Fellowship
  11. Chief Scientist Office of the Scottish Government Health Department [CZD/16/6]
  12. Scottish Funding Council [HR03006]
  13. Scottish Mental Health Research Network
  14. Scottish Government's Support for Science initiative
  15. Pfizer
  16. Lilly
  17. Janssen
  18. MRC [G0700704] Funding Source: UKRI
  19. Medical Research Council [MR/K026992/1, G0700704] Funding Source: researchfish

向作者/读者索取更多资源

Major depressive disorder is a leading cause of disability and significant mortality, yet mechanistic understanding remains limited. Over the past decade evidence has accumulated from case-control studies that depressive illness is associated with blunted reward activation in the basal ganglia and other regions such as the medial prefrontal cortex. However it is unclear whether this finding can be replicated in a large number of subjects. The functional anatomy of the medial prefrontal cortex and basal ganglia has been extensively studied and the former has excitatory glutamatergic projections to the latter. Reduced effect of glutamatergic projections from the prefrontal cortex to the nucleus accumbens has been argued to underlie motivational disorders such as depression, and many prominent theories of major depressive disorder propose a role for abnormal cortico-limbic connectivity. However, it is unclear whether there is abnormal reward-linked effective connectivity between the medial prefrontal cortex and basal ganglia related to depression. While resting state connectivity abnormalities have been frequently reported in depression, it has not been possible to directly link these findings to reward-learning studies. Here, we tested two main hypotheses. First, mood symptoms are associated with blunted striatal reward prediction error signals in a large community-based sample of recovered and currently ill patients, similar to reports from a number of studies. Second, event-related directed medial prefrontal cortex to basal ganglia effective connectivity is abnormally increased or decreased related to the severity of mood symptoms. Using a Research Domain Criteria approach, data were acquired from a large community-based sample of subjects who participated in a probabilistic reward learning task during event-related functional MRI. Computational modelling of behaviour, model-free and model-based functional MRI, and effective connectivity dynamic causal modelling analyses were used to test hypotheses. Increased depressive symptom severity was related to decreased reward signals in areas which included the nucleus accumbens in 475 participants. Decreased rewardrelated effective connectivity from the medial prefrontal cortex to striatum was associated with increased depressive symptom severity in 165 participants. Decreased striatal activity may have been due to decreased cortical to striatal connectivity consistent with glutamatergic and cortical-limbic related theories of depression and resulted in reduced direct pathway basal ganglia output. Further study of basal ganglia pathophysiology is required to better understand these abnormalities in patients with depressive symptoms and syndromes.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据