Suppr超能文献

色氨酸耗竭与抑郁高危健康志愿者的情绪加工。

Tryptophan depletion and emotional processing in healthy volunteers at high risk for depression.

机构信息

Department of Psychiatry, Mount Sinai School of Medicine, New York, New York 10029, USA.

出版信息

Biol Psychiatry. 2011 Apr 15;69(8):804-7. doi: 10.1016/j.biopsych.2010.12.033. Epub 2011 Mar 5.

Abstract

BACKGROUND

Studies in depressed patients have demonstrated the presence of emotional bias toward negative stimuli, as well as dysregulated brain serotonin function. The present study compared the effects of acute tryptophan depletion (ATD) on both an emotional processing and a planning task in never-depressed healthy volunteers at high and low familial risk for depression.

METHODS

Young adults with no personal psychiatric history were stratified into two groups based on family history (n = 25). Participants were enrolled in a randomized, double-blind, placebo-controlled crossover ATD study and completed the affective go/no-go and Tower of London tasks once during each condition.

RESULTS

There was a significant treatment by valence by group interaction on the affective go/no-go, driven primarily by a greater frequency of inappropriate responses to sad than to happy distracters in the high-risk group during ATD. No group differences were observed on the Tower of London.

CONCLUSIONS

Asymptomatic individuals at high familial risk for depression showed abnormalities in emotional processing while undergoing experimentally induced tryptophan depletion. These findings support emotional processing disturbances as potential trait-level abnormalities associated with the risk of mood disorder.

摘要

背景

在抑郁症患者的研究中已经证明了他们对负面刺激存在情绪偏差,以及大脑 5-羟色胺功能失调。本研究比较了急性色氨酸耗竭(ATD)对高、低抑郁家族风险的未患抑郁症的健康志愿者的情绪处理和规划任务的影响。

方法

根据家族史(n = 25),将无个人精神病史的年轻人分为两组。参与者被纳入一项随机、双盲、安慰剂对照的 ATD 交叉研究,并在每个条件下各完成一次情感 Go/No-Go 和伦敦塔任务。

结果

在情感 Go/No-Go 上,治疗方法、效价和组之间存在显著的交互作用,主要是由于高风险组在 ATD 期间对悲伤的分心物的不适当反应频率高于对快乐的分心物。在伦敦塔上没有观察到组间差异。

结论

有高抑郁家族风险的无症状个体在经历实验诱导的色氨酸耗竭时表现出情绪处理异常。这些发现支持情绪处理障碍作为与心境障碍风险相关的潜在特质水平异常。

相似文献

引用本文的文献

本文引用的文献

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验