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临床试验/NCT03203954
NCT03203954已完成不适用

Neural Substrates of Reinforcement Learning and Its Training in Major Depression

Virginia Polytechnic Institute and State University2 个研究点 分布在 1 个国家目标入组 216 人开始时间: 2016年5月1日最近更新:
适应症

试验速览

阶段
不适用
状态
已完成
入组人数
216
试验地点
2
主要终点
Task performance

研究概览

简要总结

Major depression is a prevalent and impairing illness. To better understand the basic science and treatment of depression, the investigators study the behavioral and brain processes associated with learning in depression and how potential disruptions in learning may be repaired. Understanding different methods that change learning may lead to novel treatments that contribute to recovery in people with depression.

详细描述

Major depressive disorder ranks among the most significant causes of mortality and disability in the world. Recent data from the investigators and others highlight that impairments in reward and loss learning are central to depression, have distinct neural substrates, and improve with successful treatment. Together, these findings suggest an urgent need to delineate the relationships among neural and behavioral learning impairments and depression. Equally important, these insights suggest new targets for treatment such that manipulating the neural and behavioral substrates of learning may facilitate symptom change in depression.

To address these issues, the investigators use functional neuroimaging and a computational psychiatry framework to i) systematically characterize the neural and behavioral substrates that attend reward- and loss- learning in depression and ii) assess the degree to which learning in depression responds to two behavioral methods that target learning in different ways. The investigators test the broad hypotheses that i) that depression may be characterized by distinct neural and behavioral disruptions of learning, and ii) these disruptions and associated symptoms may be ameliorated through different methods of guiding learning. Recent advances in computational psychiatry provide a mechanism-based framework within which to understand the nature and trajectory of potential learning impairments in depression and suggest new ways that disrupted learning and associated symptoms may be improved in depression

研究设计

研究类型
Interventional
分配方式
Randomized
干预模型
Parallel
主要目的
Other
盲法
Double (Participant, Outcomes Assessor)

入排标准

年龄范围
18 Years 至 55 Years(Adult)
性别
All
接受健康志愿者

入选标准

  • males and females of all ethnicities
  • meet diagnostic criteria for major depression or non-depressed control (assessed by study staff)
  • ages 18-55
  • fluent in English
  • able to see computer display clearly
  • able to provide informed consent
  • able to follow verbal or written instructions
  • for participants who are referred by a clinician, a letter from that clinician indicating that participation in the study does not constitute an elevated medical or behavioral risk to the participant will be requested.

排除标准

  • current pregnancy or menopause
  • claustrophobia
  • MRI contraindications
  • psychotic or bipolar disorder

结局指标

主要结局

Task performance

时间窗: approximately 6 weeks (pre- post- learning task changes and interim time points)

behavioral measures of learning task performance including accuracy, learning rate

次要结局

  • Symptoms(approximately 6 weeks (pre- post- learning task changes and interim time points))
  • Neuroimaging measures(approximately 6 weeks (pre- post- learning task changes and interim time points))

研究者

申办方类型
Other
责任方
Principal Investigator
主要研究者

Pearl Chiu

Associate Professor

Virginia Polytechnic Institute and State University

研究点 (2)

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