Computerized Cognitive Remediation in Geriatric Depression

老年抑郁症的计算机认知治疗

• 批准号: 8521384
• 负责人: Sarah Shizuko Morimoto
• 金额: $ 14.98万
• 依托单位: WEILL MEDICAL COLL OF CORNELL UNIV
• 依托单位国家: 美国
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-08-02 至 2017-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8521384
• 关键词: Academic Medical Centers; Aftercare; Antidepressive Agents; Area; Brain; California; Clinical; Clinical Trials; Cognitive remediation; Data; Depressed mood; Development; Disease; Doctor of Medicine; Elderly; Equilibrium; Functional disorder; Funding; Future; Generations; Goals; Grant; Health Services Research; Impairment; Intervention; Knowledge; Learning; Major Depressive Disorder; Manuscripts; Memory; Mental Depression; Mentored Patient-Oriented Research Career Development Award; Mentors; Mentorship; Methodology; Methods; Montgomery and Asberg depression rating scale; Neurobiology; Neurocognitive Deficit; Neuronal Plasticity; Outcome; Participant; Patients; Performance; Pilot Projects; Preparation; Procedures; Process; Randomized; Research; Research Personnel; Research Project Grants; Research Training; Resistance; Role; Semantics; Severity of illness; System; Testing; Therapeutic; Training; Training Programs; Universities; Verbal Learning; Work; career; career development; clinically relevant; cognitive function; computer generated; computerized; depressive symptoms; design; disability; dosage; efficacy evaluation; executive function; experience; follow-up; geriatric depression; improved; improved functioning; indexing; medical schools; method development; normal aging; novel; older patient; programs; relating to nervous system; response; skills; tool; treatment response

DESCRIPTION (provided by applicant): The goal of this K23 Mentored Patient-Oriented Research Career Development Award is to gain the mentorship, training, and research experiences necessary to establish myself as an independent investigator focused on developing neurobiologically informed cognitive remediation interventions for geriatric depression. I am currently a research fellow at the Weill-Cornell Advanced Center for Interventions and Services Research (ACISR) for Late-Life Depression. My short-term goals are to refine the computerized cognitive remediation (CCR) intervention I developed with my mentors and to conduct a preliminary study to test its efficacy. Beyond serving as a training tool, the improved CCR methods will be critical for the next step in my career, an RCT of a streamlined version of my intervention supported by an R01 grant. These goals will be completed under the mentorship of George Alexopoulos, M.D. of the Weill-Cornell ACISR, Bruce Wexler, M.D., of Yale University School of Medicine, and a team of consultants at Weill-Cornell Medical College, Yale University School of Medicine, and Columbia University Medical Center. In geriatric depression, deficits in executive functions are common and disabling. We and others have documented that some executive dysfunctions and their underlying brain network abnormalities are associated with poor response to antidepressants. My own work suggests that a specific determinant of resistance to antidepressants is semantic strategy impairment. This impairment is evident on both verbal fluency and verbal memory tests. The identification of this specific and clinically relevant neurocognitive deficit was an essential ste in designing the proposed computerized cognitive remediation (CCR) intervention. The proposed training plan consists of formal coursework, seminars, targeted tutorials, collaborative studies, and manuscript preparation, all of which are planned with the goal of imparting knowledge and skills in the neurobiology and neural plasticity in normal aging, CCR method development, and clinical trials methodology. The process and content of the training experiences are designed in a way that it will provide the opportunity for me to benefit maximally from interaction with mentors, collaborators, and consultants, and prepare me to submit a future R01 application. In addition to the above training, I plan to conduct a research project that will function as the training ground for accomplishing my educational objectives. In my Research Plan, I propose to investigate whether computerized cognitive remediation for geriatric depression (CCR-GD) can improve the efficacy of antidepressant treatment in geriatric depression by targeting specific executive deficits and (by inference) their underlying neurobiologic abnormalities. The first aim of the project is to pre-pilot and revise CCR-GD to achieve an optimal balance of challenge, performance, and acceptability to participants. The resultant version of CCR-GD will be piloted in my Research Plan. I hypothesize that older adults with major depression who have received therapeutic dosages of antidepressants for at least 8 weeks who receive CCR-GD will show greater reduction in depressive symptoms (MADRS), and greater increases in semantic strategy than participants on antidepressants plus a control condition over 4 weeks. Additional exploratory analyses will examine whether benefits of CCR-GD will transfer to executive functions other than those targeted by the intervention, whether verbal semantic strategy impairment at baseline moderates the advantage of CCR-GD in reducing depressive symptoms, and whether change in semantic strategy is associated with change in depression scores. Finally, the ACISR follow-up research program may offer the opportunity to examine whether benefits of CCR-GD (over the control condition) in depressive symptoms and in semantic strategy are retained 12-weeks after treatment completion.

描述（由申请人提供）：K23 指导的以患者为导向的研究职业发展奖的目标是获得必要的指导、培训和研究经验，使自己成为一名独立研究者，专注于为老年抑郁症开发基于神经生物学的认知补救干预措施。我目前是威尔-康奈尔晚年抑郁症干预和服务研究高级中心 (ACISR) 的研究员。我的短期目标是完善我与导师一起开发的计算机认知矫正（CCR）干预措施，并进行初步研究以测试其功效。除了作为训练工具之外， 改进后的 CCR 方法对于我职业生涯的下一步至关重要，即由 R01 资助支持的简化版干预措施的随机对照试验。这些目标将在威尔-康奈尔 ACISR 医学博士 George Alexopoulos、耶鲁大学医学院医学博士 Bruce Wexler 以及威尔-康奈尔医学院、耶鲁大学医学院和哥伦比亚大学医学中心的顾问团队的指导下完成。 在老年抑郁症中，执行功能缺陷很常见并且会导致残疾。我们和其他人已经证明，一些执行功能障碍及其潜在的大脑网络异常与抗抑郁药反应不佳有关。我自己的研究表明，抗抑郁药耐药的一个具体决定因素是语义策略损伤。这种损害在言语流畅性和言语记忆测试中都很明显。识别这种特定的、临床相关的神经认知缺陷是设计所提出的计算机认知补救（CCR）干预措施的重要一步。 拟议的培训计划包括正式课程、研讨会、有针对性的教程、合作研究和稿件准备，所有这些都是为了传授神经生物学和正常衰老中的神经可塑性、CCR 方法开发和临床试验方法学方面的知识和技能。培训体验的流程和内容旨在让我有机会从与导师、合作者和顾问的互动中获得最大收益，并为我提交未来的 R01 申请做好准备。 除了上述培训之外，我还计划开展一个研究项目，作为实现我的教育目标的培训基地。在我的研究计划中，我建议研究老年抑郁症的计算机认知疗法（CCR-GD）是否可以通过针对特定的执行缺陷及其潜在的神经生物学异常来提高抗抑郁药物治疗老年抑郁症的疗效。该项目的首要目标是预试点和修订 CCR-GD，以实现挑战、绩效和参与者可接受性之间的最佳平衡。 CCR-GD 的最终版本将在我的研究计划中进行试点。我假设，与服用抗抑郁药加对照条件的参与者相比，接受 CCR-GD 治疗至少 8 周的患有重度抑郁症的老年人在 4 周内会表现出更大的抑郁症状 (MADRS) 减轻，以及更大的语义策略增加。其他探索性分析将检验 CCR-GD 的益处是否会转移到干预目标以外的执行功能、基线言语语义策略损伤是否会减弱 CCR-GD 在减轻抑郁症状方面的优势，以及语义策略的变化是否与抑郁评分的变化相关。最后，ACISR 后续研究计划可能提供机会来检验 CCR-GD（相对于控制条件）在抑郁症状和语义策略方面的益处是否在治疗完成后 12 周得以保留。