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临床试验/NCT02859103
NCT02859103已完成4 期

A Dimensional Approach to Evaluate Reward Processing in Major Depressive Disorder Before and After Treatment With Desvenlafaxine

Unity Health Toronto1 个研究点 分布在 1 个国家目标入组 56 人开始时间: 2017年6月1日最近更新:
适应症
干预措施
相关药物

试验速览

阶段
4 期
状态
已完成
入组人数
56
试验地点
1
主要终点
Measuring Expectation using a prediction error task, to measure learning and choosing, during functional Magnetic Resonance Imaging (fMRI)

研究概览

简要总结

Anhedonia (the lack of pleasure in normally pleasurable things) is a common symptom of major depressive disorder (MDD), and it may impact how patients with depression experience reward. Understanding how anhedonia is related to the experience of reward may help improve how depression is treated. Computer tasks can be used to measure how reward is experienced, and these measures might be able to predict things like who is likely to become depressed, or who will respond to antidepressant medication. Studying the relationship between anhedonia and reward in patients with depression might also tell us something about how to improve diagnosis and treatment of other psychiatric disorders.This is an open label controlled treatment study lasting 8 weeks. The brain scans will be used to find changes in brain areas that may be related to how people perform on the tasks. The investigators goal is to use this information to help us find a reliable predictor that can be used to guide MDD treatment.

研究设计

研究类型
Interventional
分配方式
Non Randomized
干预模型
Parallel
主要目的
Other
盲法
None

入排标准

年龄范围
18 Years 至 60 Years(Adult)
性别
All
接受健康志愿者

入选标准

  • 未提供

排除标准

  • 未提供

研究组 & 干预措施

Treatment

Active Comparator

Patients in this arm will receive treatment with desvenlafaxine for 8 weeks.

干预措施: Desvenlafaxine (Drug)

结局指标

主要结局

Measuring Expectation using a prediction error task, to measure learning and choosing, during functional Magnetic Resonance Imaging (fMRI)

时间窗: Change from Baseline at 8 Weeks

This distinction was included in the design in order to dissociate potentially different neural circuits subserving learning reward associations and using them to guide behavior. To evaluate the how the 6 facets of reward are related to each other in unmedicated MDD patients in order to develop a clearer understanding of reward pathways

Measuring Reward association and valuation using the Reward Association Task

时间窗: Change from Baseline at 8 Weeks

Based on signal detection theory, it evaluates response bias as a function of prior reward and permits an objective assessment of disorder-related sensitivity to reward. To evaluate the how the 6 facets of reward are related to each other in unmedicated MDD patients in order to develop a clearer understanding of reward pathways

Motivation/effort using the Cued-Reinforcement Reaction Time Task and the EEfRT task.

时间窗: Change from Baseline at 8 Weeks

The Cued-Reinforcement Reaction Time Task (CRRT) provides an evaluation of reward-based reaction time speed as an index of incentive motivation.The EEfRT task allows analysis of the predictive value of reward probability and magnitude on effort-based decision making. To evaluate the how the 6 facets of reward are related to each other in unmedicated MDD patients in order to develop a clearer understanding of reward pathways

Anticipation of reward using the monetary incentive delay during fMRI

时间窗: Change from Baseline at 8 Weeks

This task was designed to disentangle anticipatory vs. consummatory phases of reward processing. To evaluate the how the 6 facets of reward are related to each other in unmedicated MDD patients in order to develop a clearer understanding of reward pathways

Pleasure/Liking using the monetary incentive delay task in an fMRI

时间窗: Change from Baseline at 8 Weeks

This task was designed to disentangle anticipatory vs. consummatory phases of reward processing. To evaluate the how the 6 facets of reward are related to each other in unmedicated MDD patients in order to develop a clearer understanding of reward pathways. To evaluate the how the 6 facets of reward are related to each other in unmedicated MDD patients in order to develop a clearer understanding of reward pathways

Feedback integration using the Probabilistic Reversal Learning task during fMRI

时间窗: Change from Baseline at 8 Weeks

participants are presented with a choice of two stimuli. Based on their first choice, the selected stimulus will be rewarded with a high probability, while the other will be rewarded with a low probability.To evaluate the how the 6 facets of reward are related to each other in unmedicated MDD patients in order to develop a clearer understanding of reward pathways

次要结局

未报告次要终点

研究者

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

Sakina Rizvi

Scientist

Unity Health Toronto

研究点 (1)

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