Suppr超能文献

针对抑郁易感性的认知矫正:当前挑战与新方向。

Cognitive remediation for depression vulnerability: Current challenges and new directions.

作者信息

Vander Zwalmen Yannick, Hoorelbeke Kristof, Liebaert Eveline, Nève de Mévergnies Constance, Koster Ernst H W

机构信息

Department of Experimental Clinical and Health Psychology, Ghent University, Ghent, Belgium.

Department of Head and Skin, Ghent University Hospital, Ghent, Belgium.

出版信息

Front Psychol. 2022 Jul 22;13:903446. doi: 10.3389/fpsyg.2022.903446. eCollection 2022.

Abstract

It is increasingly acknowledged that cognitive impairment can play an important role in depression vulnerability. Therefore, cognitive remediation strategies, and cognitive control training (CCT) procedures have gained attention in recent years as possible interventions for depression. Recent studies suggest a small to medium effect on indicators of depression vulnerability. Despite initial evidence for the efficacy and effectiveness of CCT, several central questions remain. In this paper we consider the key challenges for the clinical implementation of CCT, including exploration of (1) potential working mechanisms and related to this, moderators of training effects, (2) necessary conditions under which CCT could be optimally administered, such as dose requirements and training schedules, and (3) how CCT could interact with or augment existing treatments of depression. Revisiting the CCT literature, we also reflect upon the possibilities to evolve toward a stratified medicine approach, in which individual differences could be taken into account and used to optimize prevention of depression.

摘要

人们越来越认识到认知障碍在抑郁症易感性中可能起重要作用。因此,认知修复策略和认知控制训练(CCT)程序近年来作为抑郁症的可能干预措施受到了关注。最近的研究表明,对抑郁症易感性指标有小到中等程度的影响。尽管有初步证据表明CCT有效,但仍有几个核心问题存在。在本文中,我们考虑了CCT临床实施的关键挑战,包括探索(1)潜在的工作机制以及与此相关的训练效果调节因素,(2)CCT能够得到最佳实施的必要条件,如剂量要求和训练时间表,以及(3)CCT如何与现有的抑郁症治疗方法相互作用或增强其效果。回顾CCT文献时,我们也思考了朝着分层医学方法发展的可能性,在这种方法中,可以考虑个体差异并用于优化抑郁症的预防。

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