A Computerized Intervention Targeting Cognitive Control Network Deficits in Depression

项目：EVO（或“EVO”）是一款移动的3D视频游戏，已被证明可以降低老年人的易感性 通过增强持续的注意力和工作记忆能力（例如认知控制）， 目标自适应算法同行评议的有效性、适应性和有趣的视频游戏的结合 机械师将EVO平台提升到其他家庭培训工具之外，同时减少相关负担 繁琐的任务复制。我们建议研究EVO作为治疗的潜在干预措施 抑郁症是一种影响医疗结果、促进残疾、增加开支和 通过模糊临床图像和破坏治疗依从性而使医疗护理复杂化。 R61阶段：我们将首先进行一项为期2年的概念验证研究，以确定EVO是否可以参与认知 控制网络（CCN）的30名中老年抑郁症患者。本阶段的主要目标 建议项目的目的是确定EVO是否会使用三个级别的 分析（电路，性能，自我报告）。在电路层面，我们将通过以下方式衡量CCN参与度： 使用基于任务的功能磁共振成像来探测系统。我们假设，激活和功能连接（FC）的 CCN的前部将从基线增加到治疗开始后4周。我们决定 进入计划研究的下一阶段，我们的样本中有66%将显示CCN显著增加 在电路级分析（CCN激活和FC）和性能级或自 报告分析水平。 R33阶段：如果我们的概念验证阶段通过了Go/No-go规则，我们将进行为期3年的试点 研究比较EVO与预期匹配的控制游戏在CCN目标参与方面的差异， 电路（基于任务的功能磁共振成像）和行为水平（任务表现，自我报告）在60名中年和老年人 患有重度抑郁症的成年人此外，我们很好地确定目标参与的变化是否与 情绪变化和情绪诱发的残疾。决定着手制定一项提案， 在更大规模的随机临床试验中研究EVO的临床疗效将基于我们是否发现（1） EVO在CCN参与电路和行为方面优于我们的控制条件 水平（2）CCN参与变化与情绪变化之间的显著关联，以及（3） 研究方法可行（采样率、保留率、干预依从性、干预 可接受性和期望值-与我们的对照条件匹配）。

Project: EVO (or “EVO”) is a mobile 3D video game that has been shown to reduce older adults' susceptibility to interference by augmenting sustained attention and working memory abilities (e.g. cognitive control) through targeted adaptive algorithms. The combination of peer-reviewed validity, adaptivity, and fun video game mechanics elevates the EVO platform beyond other at-home training tools while reducing burden associated with tedious task replication. We propose to study EVO as a potential intervention for the treatment of depression, a disorder that worsens medical outcomes, promotes disability, increases expense, and complicates medical care by clouding the clinical picture and undermining treatment adherence. R61 Phase: We will first conduct a 2-year proof of concept study to determine if EVO can engage the cognitive control network (CCN) in 30 middle-aged and older adults with major depression. Primary aims for this phase of the proposed project are to determine if EVO will result in greater CCN engagement using three levels of analysis (circuitry, performance, self-report). At the circuitry level, we will measure CCN engagement by probing the system using task-based fMRI. We hypothesize that activation and functional connectivity (FC) of anterior aspects of the CCN will increase from baseline to 4-weeks after treatment initiation. Our decision to move to the next phase of the planned study is that 66% of our sample will show significant increases in CCN functions at the circuitry level of analysis (CCN activation and FC) and at either the performance level or self- report level of analysis. R33 Phase: Should our proof of concept phase pass the Go/No-go rule, we will then conduct a 3-year pilot study to compare EVO to an expectancy-matched control game in terms of CCN target engagement at the circuitry (task-based fMRI) and behavioral levels (task performance, self-report) in 60 middle-aged and older adults with major depression. In addition, we well determine if changes in target engagement are associated with changes in mood and mood-induced disability. The decision to move onto development of a proposal to study the clinical efficacy of EVO in a larger randomized clinical trial will be based on whether we find (1) that EVO out-performs our control condition in terms of the engagement of CCN at the circuitry and behavioral levels (2) significant associations between changes in engagement of the CCN and changes in mood and (3) that the study methods are feasible to complete (sampling rate, retention, intervention adherence, intervention acceptability and expectancy-match for our control condition).