MARKERS FOR DAT: CONTROL, VARIABILITY AND PERSONALITY

DAT 的标记：控制、可变性和个性

• 批准号: 7578740
• 负责人: David A Balota
• 金额: $ 16.25万
• 依托单位: WASHINGTON UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-05-15 至 2013-12-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7578740
• 关键词: Alzheimer' s Disease; Area; Attention; Behavioral; Behavioral Assay; Biological Markers; Characteristics; Cognitive; Data; Disease; Dissociation; Elderly; Exclusion; Familiarity; Future; Genetic; Goals; Hour; Individual; Individual Differences; Lead; Measures; Medial; Medicine; Memory; Neurotic Disorders; Onset of illness; Participant; Performance; Personality; Personality Traits; Predisposition; Principal Investigator; Procedures; Process; Reaction Time; Research; Response Latencies; Retrieval; Risk; Role; Semantics; Senile dementia; Staging; Stroke; System; Techniques; Testing; Training Technics; base; cognitive change; executive function; healthy aging; novel; programs; prospective; prospective memory

There is accumulating evidence that early stage Alzheimer's disease reflects a breakdown in attentional control systems that likely contribute to the changes in memory performance, along with other aspects of cognitive performance. Recent evidence indicates that tasks that place a maximum load on attentional systems are particularly useful in serving as a behavioral biomarker both in discriminating healthy aging from early stage DAT, and are correlated with other biomarkers in non-demented older adults. The proposed research plan will continue to longitudinally follow a set of healthy older adults and individuals in the early stages of the disease process, along with individuals who are at risk due to stroke, to better isolate the contributions of novel attentional control measures, and to investigate the extent to which these individuals respond to memory/attention training techniques. We will have three waves of testing, which will be separated by approximately 1.5 years. Each participant will be tested in a single session for each wave of testing, lasting approximately 2 hours. During each wave, we will continue to administer a small battery (no more than 40 minutes) of executive measures (computation span, Stroop, a retroactive interference exclusion measure, and a short switching task). This will afford the ability to continue to follow these individuals with the same set of measures for which we already have data. In addition to the executive control measures, we will also use experimental procedures to provide estimates of three different targeted components in each wave. These will include measures of (a) controlled and automatic processing via the processing dissociation procedure, (b) components of prospective memory performance, and (c) standard mnemonic manipulations (i.e., repeated testing, expanded retrieval, semantic encoding). We will continue to explore distinct measures of participant variability and the components of reaction time distributions that lead to any change in the observed variability estimates as a potential marker for cognitive changes in healthy aging and early stage DAT. In addition, because of recent evidence that certain personality traits (e.g., conscientiousness and neuroticism) predispose individuals for developing DAT, we will explore the modulatory role of personality characteristics in the cognitive markers, and susceptibility to mnemonic techniques. Moreover, we have recently found that personality characteristics are related to cognitive performance including variability estimates. Finally, the behavioral assays obtained in Project 3 will be correlated with the results from the biomarkers available from other projects and cores (e.g., CSF, PIB, genetics, and volumetric measures of targeted areas) to determine which composite measures afford the best behavioral biomarkers.

有积极的证据表明早期阿尔茨海默氏病反映了注意力的崩溃 控制系统可能有助于内存性能的变化以及 认知表现。最近的证据表明，为注意力增加最大负担的任务 系统在用作行为生物标志物方面特别有用，既可以区分健康的衰老与 早期DAT，与非痴呆的老年人的其他生物标志物相关。提议 研究计划将在早期继续纵向遵循一组健康的老年人和个人 疾病过程的阶段，以及因中风而有风险的个体，以更好地隔离 新的注意力控制措施的贡献，并研究这些人的程度 响应记忆/注意力训练技术。我们将有三波测试，这将是 分开约1。5年。每个参与者将在一次会话中对每一浪进行测试 测试，持续约2小时。在每次浪潮中，我们将继续管理一个小电池（否 超过40分钟的执行措施（计算跨度，Stroop，追溯干扰 排除度量和简短的切换任务）。这将有能力继续遵循这些 具有相同措施的个人已经有了数据。除了高管 控制措施，我们还将使用实验程序来提供三种不同目标的估计 每个波中的组成部分。这些将包括（a）通过（通过 处理分离程序，（b）预期内存性能的组成部分和（c）标准 助记符操作（即重复测试，扩展检索，语义编码）。 我们将继续探索参与者变异性的不同度量和反应的组成部分 导致观察到的可变性估计值的任何变化作为潜在标记的时间分布 健康衰老和早期DAT的认知变化。此外，由于最近的证据表明 人格特质（例如，认真和神经质）倾向于发展DAT的人，我们 将探讨人格特征在认知标记中的调节作用，并敏感 疯子技术。此外，我们最近发现人格特征与 认知性能包括可变性估计。最后，项目3中获得的行为分析将 与其他项目和核心可获得的生物标志物的结果相关（例如，CSF，PIB， 遗传学和目标区域的体积测量）以确定哪些综合措施得到 最好的行为生物标志物。