测试电脑认知训练对年轻抑郁症患者的作用机制:一项盲法、随机对照治疗试验方案。

Journal of psychiatry and brain science Pub Date : 2020-01-01 Epub Date: 2020-06-19 DOI:10.20900/jpbs.20200014
Sara N Rushia, Sophie Schiff, Dakota A Egglefield, Jeffrey N Motter, Alice Grinberg, Daniel G Saldana, Al Amira Safa Shehab, Jin Fan, Joel R Sneed
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引用次数: 2

摘要

背景:抑郁症与广泛的认知缺陷有关,包括处理速度(PS)和执行功能(EF)。认知症状通常随着情感症状的消退而持续存在,并增加复发和复发的风险。认知控制网络由涉及EF和情绪调节功能的大脑区域组成。先前的研究已经证明了计算机认知训练(CCT)在减轻抑郁的认知和情感症状方面的有效性,重点是PS和EF。方法:90名年龄在18-29岁,当前诊断为重度抑郁症或持续性抑郁症,或汉密尔顿抑郁评定量表得分≥12分的参与者将被随机分为PS/EF CCT、口头CCT或候补组。积极组的参与者将完成15分钟的训练,每周5天,持续8周。临床和神经心理学评估将在基线、第4周、第8周和3个月随访时完成。结构和功能磁共振成像(fMRI)将在基线和第8周完成。我们将比较情绪、认知、日常功能和fMRI数据的变化。我们将使用静息状态和基于任务的功能磁共振成像来探索认知控制网络的功能。结果:2019年10月开始招募;我们预计在2022年4月之前完成招聘,随后开始数据分析。结论:本研究的创新之处在于,它将包括主动和等待控制条件,并将探索神经激活的变化。识别与CCT后改善相关的神经网络将允许开发更精确和有效的干预措施。试验注册:ClinicalTrials.gov NCT03869463;https://clinicaltrials.gov/ct2/show/NCT03869463。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Testing the Mechanism of Action of Computerized Cognitive Training in Young Adults with Depression: Protocol for a Blinded, Randomized, Controlled Treatment Trial.

Background: Depression is associated with a broad range of cognitive deficits, including processing speed (PS) and executive functioning (EF). Cognitive symptoms commonly persist with the resolution of affective symptoms and increase risk of relapse and recurrence. The cognitive control network is comprised of brain areas implicated in EF and mood regulatory functions. Prior research has demonstrated the effectiveness of computerized cognitive training (CCT) focused on PS and EF in mitigating both cognitive and affective symptoms of depression.

Methods: Ninety participants aged 18-29 with a current diagnosis of major depressive disorder or persistent depressive disorder, or a Hamilton Depression Rating Scale score ≥12, will be randomized to either PS/EF CCT, verbal CCT, or waitlist control. Participants in the active groups will complete 15 min of training 5 days/week for 8 weeks. Clinical and neuropsychological assessments will be completed at baseline, week 4, week 8, and 3-month follow-up. Structural and functional magnetic resonance imaging (fMRI) will be completed at baseline and week 8. We will compare changes in mood, cognition, daily functioning, and fMRI data. We will explore cognitive control network functioning using resting-state and task-based fMRI.

Results: Recruitment began in October 2019; we expect to finish recruitment by April 2022 and subsequently begin data analysis.

Conclusions: This study is innovative in that it will include both active and waitlist control conditions and will explore changes in neural activation. Identifying the neural networks associated with improvements following CCT will allow for the development of more precise and effective interventions.

Trial registration: ClinicalTrials.gov NCT03869463; https://clinicaltrials.gov/ct2/show/NCT03869463.

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