Computerized Cognitive Remediation in Geriatric Depression
老年抑郁症的计算机认知治疗
基本信息
- 批准号:9096212
- 负责人:
- 金额:$ 14.98万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 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:
- 关键词:Academic Medical CentersAftercareAntidepressive AgentsAreaBrainCaliforniaClinicalClinical TrialsCognitive remediationDataDepressed moodDevelopmentDiseaseDoctor of MedicineElderlyEquilibriumExecutive DysfunctionFunctional disorderFundingFutureGenerationsGoalsGrantHealth Services ResearchImpairmentInterventionKnowledgeLearningMajor Depressive DisorderManuscriptsMemoryMental DepressionMentored Patient-Oriented Research Career Development AwardMentorsMentorshipMethodologyMethodsMontgomery and Asberg depression rating scaleNeurobiologyNeurocognitive DeficitNeuronal PlasticityOutcomeParticipantPatientsPerformancePilot ProjectsPreparationProceduresProcessRandomizedResearchResearch PersonnelResearch Project GrantsResearch TrainingResistanceRoleSemanticsSeverity of illnessSystemTechnical ExpertiseTestingTherapeuticTrainingTraining ProgramsUniversitiesVerbal LearningWorkcareercareer developmentclinically relevantcognitive functioncomputer generatedcomputerizeddepressive symptomsdesigndisabilitydosageefficacy evaluationexecutive functionexperiencefollow-upgeriatric depressionimprovedimproved functioningindexingmedical schoolsmethod developmentnormal agingnovelolder patientprogramsrelating to nervous systemresponseskillstooltreatment response
项目摘要
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指导患者导向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,以使自己成为一名独立的研究者,专注于开发针对老年抑郁症的神经生物学认知补救干预措施。我目前是威尔-康奈尔晚期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和导师一起开发的计算机认知补救(CCR)干预,并进行初步研究以测试其有效性。除了作为培训工具,
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Sarah Shizuko Morimoto其他文献
A Lifespan Model of Interference Resolution and Inhibitory Control: Risk for Depression and Changes with Illness Progression
- DOI:
10.1007/s11065-019-09424-5 - 发表时间:
2020-01-15 - 期刊:
- 影响因子:5.000
- 作者:
Katie L. Bessette;Aimee J. Karstens;Natania A. Crane;Amy T. Peters;Jonathan P. Stange;Kathleen H. Elverman;Sarah Shizuko Morimoto;Sara L. Weisenbach;Scott A. Langenecker - 通讯作者:
Scott A. Langenecker
Sarah Shizuko Morimoto的其他文献
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{{ truncateString('Sarah Shizuko Morimoto', 18)}}的其他基金
Neuroplasticity-Based Computerized Cognitive Remediation (nCCR) for Treatment Resistant Late-Life Depression
基于神经可塑性的计算机认知疗法(nCCR)治疗难治性晚年抑郁症
- 批准号:
10193724 - 财政年份:2021
- 资助金额:
$ 14.98万 - 项目类别:
Neuroplasticity-Based Computerized Cognitive Remediation (nCCR) for Treatment Resistant Late-Life Depression
基于神经可塑性的计算机认知疗法(nCCR)治疗难治性晚年抑郁症
- 批准号:
10390361 - 财政年份:2021
- 资助金额:
$ 14.98万 - 项目类别:
Neuroplasticity-Based Computerized Cognitive Remediation (nCCR) for Treatment Resistant Late-Life Depression
基于神经可塑性的计算机认知疗法(nCCR)治疗难治性晚年抑郁症
- 批准号:
10612341 - 财政年份:2021
- 资助金额:
$ 14.98万 - 项目类别:
Computerized Cognitive Remediation in Geriatric Depression
老年抑郁症的计算机认知治疗
- 批准号:
8367382 - 财政年份:2012
- 资助金额:
$ 14.98万 - 项目类别:
Computerized Cognitive Remediation in Geriatric Depression
老年抑郁症的计算机认知治疗
- 批准号:
8521384 - 财政年份:2012
- 资助金额:
$ 14.98万 - 项目类别:
Computerized Cognitive Remediation in Geriatric Depression
老年抑郁症的计算机认知治疗
- 批准号:
8701044 - 财政年份:2012
- 资助金额:
$ 14.98万 - 项目类别:
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