A Computerized Intervention Targeting Cognitive Control Network Deficits in Depression

针对抑郁症认知控制网络缺陷的计算机干预

• 批准号: 10005461
• 负责人: JOAQUIN A ANGUERA
• 金额: $ 64.16万
• 依托单位: UNIVERSITY OF WASHINGTON
• 依托单位国家: 美国
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-09-19 至 2022-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10005461
• 关键词: 3-Dimensional; Adherence; Adult; Aftercare; Algorithms; Anisotropy; Anterior; Antidepressive Agents; Attention; Behavior; Behavioral; Caring; Clinical; Cognitive; Cognitive remediation; Control Groups; Data; Depressed mood; Development; Disease; Disease remission; Dorsal; Elderly; Expectancy; Functional Magnetic Resonance Imaging; Funding; Goals; Hamilton Rating Scale for Depression; Home environment; Individual; Intervention; Major Depressive Disorder; Measures; Mechanics; Medical; Mental Depression; Methods; Middle frontal gyrus structure; Moods; Nature; Negative Valence; Neurosciences; Outcome; Outcome Measure; Participant; Patient Self-Report; Peer Review; Performance; Phase; Pilot Projects; Predisposition; Protocols documentation; Psychotherapy; Randomized Clinical Trials; Research Design; Research Domain Criteria; Research Methodology; Sampling; Short-Term Memory; Signal Transduction; Site; Specific qualifier value; Stimulus; Symptoms; System; Task Performances; Testing; Thinking; Training; Treatment Efficacy; Video Games; World Health Organization Disability Assessment Schedule; base; cingulate cortex; clinical efficacy; cognitive control; cognitive function; cognitive training; computerized; depressed patient; depressive symptoms; disability; emotion regulation; evidence base; experience; functional improvement; geriatric depression; improved; improved functioning; interest; middle age; mood symptom; problem solving therapy; randomized trial; recruit; response; sustained attention; therapy design; tool; trait; treatment adherence; white matter

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).

项目：EVO（或“EVO”）是一个移动3D视频游戏，已被证明可以降低老年人的易感性