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临床试验/NCT04604756
NCT04604756Unknown不适用

Losartan Effects on the Social Reward in Humans

University of Electronic Science and Technology of China1 个研究点 分布在 1 个国家目标入组 90 人开始时间: 2020年10月10日最近更新:
适应症
干预措施
相关药物

试验速览

阶段
不适用
发起方
入组人数
90
试验地点
1
主要终点
Losartan effects on neural activity as assessed by blood oxygenation dependent (BOLD) fMRI during the anticipation of social feedback.

研究概览

简要总结

The aim of the study is to investigate the effect of losartan (50mg, single dose) on social reward

详细描述

In a double-blind, between-subject, placebo-controlled design the effects of a single dose of losartan (50mg) on social reward in healthy participants will be examined. 90 minutes after subjects administrate 50mg losartan or placebo, participants will undergo a social incentive delay task. Neural activity will be assessed by the acquisition of functional magnetic resonance imaging (fMRI) data.

研究设计

研究类型
Interventional
分配方式
Randomized
干预模型
Parallel
主要目的
Basic Science
盲法
Double (Participant, Investigator)

入排标准

年龄范围
18 Years 至 30 Years(Adult)
性别
All
接受健康志愿者

入选标准

  • Healthy subjects without past or current psychiatric or neurological disorders

排除标准

  • history of head injury
  • medical or psychiatric illness
  • hypertension

研究组 & 干预措施

Losartan group

Experimental

Drug: Losartan

干预措施: Losartan (Drug)

Placebo group

Placebo Comparator

Drug: Placebo Oral Tablet

干预措施: Placebo Oral Tablet (Drug)

结局指标

主要结局

Losartan effects on neural activity as assessed by blood oxygenation dependent (BOLD) fMRI during the anticipation of social feedback.

时间窗: 90 minutes to 105 minutes after treatment

The social incentive delay task provides subjects with trial-wise feedback on their performance (as assessed by reaction time). Neural activity will be measured by functional magnetic resonance imaging (fMRI). To examine effects of treatment during the anticipation of social feedback fMRI-based neural indices during the anticipation period will be compared between the losartan and the placebo treated group using a Generalized Linear Model approach. The analysis will focus on brain systems that play an important role in the anticipation of reward and punishment (prefrontal cortex and subcortical regions, including the striatum)

Losartan effects on neural activity as assessed by blood oxygenation dependent (BOLD) fMRI during the consummation of social feedback.

时间窗: 90 minutes to 105 minutes after treatment

The social incentive delay task provides subjects with trial-wise feedback on their performance (as assessed by reaction time). Following each trial the feedback will be indicated by positive and negative social stimuli. Neural activity will be measured by functional magnetic resonance imaging (fMRI). To examine effects of treatment during the consummation of social feedback fMRI-based neural indices during the presentation of the feedback will be compared between the losartan and the placebo treated group using a Generalized Linear Model approach. The analysis will focus on brain systems that play an important role in reward and punishment (prefrontal cortex and subcortical regions, including the striatum)

次要结局

  • Effects of Losartan on arousal ratings of the stimuli presented during the fMRI-paradigm as assessed by 1-9 Likert scales(150 minutes to 160 minutes after treatment)
  • Effects of Losartan on valence ratings of the stimuli presented during the fMRI-paradigm as assessed by 1-9 Likert scales(150 minutes to 160 minutes after treatment)
  • Effects of Losartan on intensity ratings of the stimuli presented during the fMRI-paradigm as assessed by 1-9 Likert scales(150 minutes to 160 minutes after treatment)
  • Effects of Losartan on likeability ratings of the stimuli presented during the fMRI-paradigm as assessed by 1-9 Likert scales(150 minutes to 160 minutes after treatment)
  • Effects of Losartan on dislikeability ratings of the stimuli presented during the fMRI-paradigm as assessed by 1-9 Likert scales(150 minutes to 160 minutes after treatment)

研究者

发起方
University of Electronic Science and Technology of China
申办方类型
Other
责任方
Principal Investigator
主要研究者

Benjamin Becker

Professor

University of Electronic Science and Technology of China

研究点 (1)

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