Personalized and Scalable Cognitive Remediation Approaches

个性化且可扩展的认知矫正方法

• 批准号: 8729017
• 负责人: Alice Medalia
• 金额: $ 24.45万
• 依托单位: COLUMBIA UNIVERSITY HEALTH SCIENCES
• 依托单位国家: 美国
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-09-01 至 2016-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8729017
• 关键词: Address; Adult; Ambulatory Care Facilities; Area; Attention; Auditory; Clinic; Clinical; Cognition; Cognitive; Cognitive deficits; Cognitive remediation; Collection; Communities; Complex; Computers; Data; Development; Disease; Elements; Enrollment; Ensure; Evaluation; Exercise; Feedback; Functional disorder; Goals; Hour; Individual; Individual Differences; Intervention; Lead; Learning; Left; Link; Literature; Methodology; Methods; Motivation; National Institute of Mental Health; Neurocognition; Neurocognitive; Outcome; Participant; Patients; Perception; Phase; Pilot Projects; Population Study; Problem Solving; Procedures; Process; Psychological Factors; Randomized; Randomized Controlled Trials; Recovery; Recruitment Activity; Research; Sampling; Schizoaffective Disorders; Schizophrenia; Severities; System; Technology; Testing; Therapeutic Effect; Time; Training; Translations; Treatment Effectiveness; base; case-based; cognitive function; cognitive training; computerized; design; efficacy testing; experience; functional improvement; functional outcomes; meetings; practical application; programs; psychosocial rehabilitation; public health relevance; relating to nervous system; response; scaffold; skills; success; therapeutic target; treatment response; visual information

DESCRIPTION (provided by applicant): The extant literature on Cognitive Remediation (CR) for schizophrenia, an empirically based intervention, indicates that across treatment methods, CR has moderate effects on neurocognition and functional outcomes. However, substantial individual differences in response to CR interventions indicate a need to refine intervention strategies to better meet the specific neurocognitive and functional needs of treatment participants. Evidence that neurocognitive and psychological factors predict a strong response to CR has the potential to enable a personalization of the treatment process and to thereby match patients to appropriate treatment. Using the R34 mechanism we will lay the groundwork for a study that tests the efficacy and feasibility of delivering scalable and personalized CR in a community outpatient clinic setting. There are three phases of the proposed study. (1) During Development and Adaptation, we will assemble two personalized packages of restorative computer-based cognitive exercises which, based on prior research about predictors of a positive response to CR, will address the learning needs of people with different modal cognitive profiles. (2) During Open Trial and Refinement, we will pilot test the two cognitive interventions in a sample of 10 adults with schizophrenia and schizoaffective disorder attending a community psychosocial rehabilitation clinic. A 10-session open trial will allow for the collection of qualitative feedback from the subjects and quantitative cognitive assessment data to further refine assessment and treatment parameters. The goal of this phase is to the increase acceptability and feasibility of the CR interventions. (3) During the Pilot Feasibility Trial, we wll conduct a randomized controlled trial to see if baseline cognitive profile predicts response to the different treatment approaches. We will focus on the feasibility of recruiting, enrolling, randomizing, stratifying, retaining, and assessing outcomes in the participants. Consistent with the purpose of the R34 mechanism, this pilot study will lead to a R01, which will provide a more rigorous test of the impact of personalized intervention methodologies on cognitive and functional outcomes in schizophrenia.

描述（由申请人提供）：精神分裂症的认知修复（Cognitive Remediation， CR）是一种基于经验的干预措施，现有文献表明，在不同的治疗方法中，CR对神经认知和功能结局的影响是中等的。然而，对CR干预反应的巨大个体差异表明需要改进干预策略，以更好地满足治疗参与者的特定神经认知和功能需求。神经认知和心理因素预测对CR的强烈反应的证据有可能使治疗过程个性化，从而使患者与适当的治疗相匹配。使用R34机制，我们将为一项研究奠定基础，该研究将测试在a中提供可扩展和个性化CR的有效性和可行性