Suppr超能文献

神经对奖励、压力和睡眠的反应相互作用,前瞻性地预测少女的抑郁症状。

Neural Response to Rewards, Stress and Sleep Interact to Prospectively Predict Depressive Symptoms in Adolescent Girls.

机构信息

Department of Psychology, Florida State University.

Department of Psychology, Florida State University Department of Biomedical Sciences, Florida State University.

出版信息

J Clin Child Adolesc Psychol. 2021 Jan-Feb;50(1):131-140. doi: 10.1080/15374416.2019.1630834. Epub 2019 Jul 22.

Abstract

Blunted reward processing both characterizes major depressive disorder and predicts increases in depressive symptoms. However, little is known about the interaction between blunted reward processing and other risk factors in relation to increases in depressive symptoms. Stressful life events and sleep problems are prominent risk factors that contribute to the etiopathogenesis of depression and have been linked to reward dysfunction; these factors may interact with reward dysfunction to predict increased depressive symptoms. In a large sample of 8- to 14-year-old adolescent girls, the current study examined how blunted reward processing, stressful life events, and sleep problems at baseline interacted to predict increases in depressive symptoms 1 year later. Reward processing was indexed by the reward positivity (RewP), an event-related potential elicited during a simple monetary reward paradigm (i.e., Doors task). Two-way interactions confirmed that a blunted RewP predicted increased depressive symptoms at (a) high levels of stress but not average or low levels of stress, and (b) high and average levels of sleep problems but not low levels of sleep problems. Finally, a 3-way interaction confirmed that a blunted RewP predicted increased depressive symptoms at high levels of stress and sleep problems but not average or low levels of stress and sleep problems. Thus, adolescents characterized by low reward response (i.e., blunted RewP) were at an increased risk of developing depressive symptoms if they experienced increased stressful life events or sleep problems; moreover, risk was greatest among adolescents characterized by all 3.

摘要

奖赏加工迟钝既具有重性抑郁障碍的特征,也可预测抑郁症状的增加。然而,对于奖赏加工迟钝与其他风险因素之间的相互作用,以及与抑郁症状增加的关系,我们知之甚少。生活应激事件和睡眠问题是突出的风险因素,它们促成了抑郁的病因发生,并与奖赏功能障碍有关;这些因素可能与奖赏功能障碍相互作用,从而预测抑郁症状的增加。在一项针对 8 至 14 岁青春期少女的大型样本研究中,本研究考察了基线时的奖赏加工迟钝、生活应激事件和睡眠问题如何相互作用,从而预测 1 年后抑郁症状的增加。奖赏加工通过奖赏正波(RewP)来进行指标化,RewP 是在一个简单的货币奖励范式(即“门任务”)中产生的事件相关电位。双向交互作用证实,奖赏正波迟钝预示着(a)在高压力水平而非平均或低压力水平下,抑郁症状会增加;(b)在高和平均睡眠问题水平而非低睡眠问题水平下,抑郁症状会增加。最后,三方交互作用证实,奖赏正波迟钝预示着在高压力和睡眠问题水平下,抑郁症状会增加,但在平均或低压力和睡眠问题水平下则不会。因此,如果经历了更多的生活应激事件或睡眠问题,奖赏反应迟钝(即 RewP 迟钝)的青少年患抑郁症状的风险会增加;此外,对于具有所有这三种特征的青少年来说,风险最大。

相似文献

引用本文的文献

本文引用的文献

6
Using Multilevel Modeling to Examine Blunted Neural Responses to Reward in Major Depression.使用多层建模来研究重度抑郁症中对奖励的神经反应迟钝。
Biol Psychiatry Cogn Neurosci Neuroimaging. 2018 Dec;3(12):1032-1039. doi: 10.1016/j.bpsc.2018.04.003. Epub 2018 Apr 17.
9
Neural Correlates of Reward Processing in Depressed and Healthy Preschool-Age Children.抑郁和健康学龄前儿童奖励处理的神经关联
J Am Acad Child Adolesc Psychiatry. 2016 Dec;55(12):1081-1089. doi: 10.1016/j.jaac.2016.09.503. Epub 2016 Oct 4.

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