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情绪面孔记忆任务的随机对照试验性研究:一种治疗抑郁症的数字疗法

A randomized, controlled pilot trial of the Emotional Faces Memory Task: a digital therapeutic for depression.

作者信息

Iacoviello Brian M, Murrough James W, Hoch Megan M, Huryk Kathryn M, Collins Katherine A, Cutter Gary R, Iosifescu Dan V, Charney Dennis S

机构信息

Click Therapeutics, Inc., New York, NY, USA.

Department of Psychiatry, Mood and Anxiety Disorders Program, Icahn School of Medicine at Mount Sinai, New York, NY, USA.

出版信息

NPJ Digit Med. 2018;1. doi: 10.1038/s41746-018-0025-5. Epub 2018 Jun 6.

Abstract

There is an urgent need for more effective treatments for major depressive disorder (MDD). Digital therapeutics, such as computerized cognitive-emotional training interventions, represent a promising new strategy for treating MDD. Here we report a replication of efficacy of a digital cognitive-emotional training intervention designed to enhance cognitive control for emotional information-processing. In a randomized, double-blind, controlled study design, fifty-one participants with MDD in a current major depressive episode were randomly assigned to participate in a digital cognitive-emotional training regimen (Emotional Faces Memory Task (EFMT); n= 28) involving 18 sessions over 6 weeks, or an active control condition (CT; n= 23) involving computerized working memory training. MDD symptoms were assessed weekly using a clinician-rated measure (Hamilton Depression Rating Scale; Ham-D); and neurocognition (working memory), at baseline and study outcome. Mixed-effects model for repeated measures (MMRM) analysis of all participants randomized revealed a significantly greater reduction in MDD symptom severity (Ham-D) from baseline to outcome in the EFMT group (8.65 points) compared to the CT group (4.77 points) ((6,205)= 3.23, = .005, = .46). Ten of 28 EFMT participants achieved clinical response (≥ 50% reduction in symptoms) compared to 4 of 23 in CT. Both groups exhibited similar, small improvements in working memory. This replicated the preliminary efficacy of a digital cognitive-emotional training approach for the treatment of MDD. EFMT may be a feasible and effective intervention strategy for MDD, but future studies to elucidate its mechanism of action are warranted. This study is registered with Clinicaltrials.gov (NCT: 01934491).

摘要

对于重度抑郁症(MDD),迫切需要更有效的治疗方法。数字疗法,如计算机化认知 - 情感训练干预,是一种有前景的治疗MDD的新策略。在此,我们报告了一种旨在增强对情绪信息处理的认知控制的数字认知 - 情感训练干预的疗效复制情况。在一项随机、双盲、对照研究设计中,51名处于当前重度抑郁发作期的MDD患者被随机分配,参与一项为期6周、共18节课程的数字认知 - 情感训练方案(情绪面孔记忆任务(EFMT);n = 28),或参与一项涉及计算机化工作记忆训练的积极对照条件(CT;n = 23)。每周使用临床医生评定量表(汉密尔顿抑郁评定量表;Ham - D)评估MDD症状;并在基线和研究结果时评估神经认知(工作记忆)。对所有随机分组的参与者进行重复测量的混合效应模型(MMRM)分析显示,与CT组(4.77分)相比,EFMT组从基线到结果的MDD症状严重程度(Ham - D)显著降低更多(8.65分)((6,205)= 3.23, = .005, = .46)。28名EFMT参与者中有10人实现了临床缓解(症状减轻≥50%),而CT组23人中有4人实现临床缓解。两组在工作记忆方面均有类似的小幅度改善。这复制了数字认知 - 情感训练方法治疗MDD的初步疗效。EFMT可能是一种治疗MDD的可行且有效的干预策略,但有必要开展进一步研究以阐明其作用机制。本研究已在Clinicaltrials.gov注册(NCT:01934491)。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ea8/6550216/5fbc6d5dd62a/41746_2018_25_Fig1_HTML.jpg

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