Behavioral an(j Neural Markers of Attentional Control: Antecedents for AD

注意力控制的行为和神经标记：AD 的前因

• 批准号: 8522089
• 负责人: David A Balota
• 金额: $ 2.41万
• 依托单位: WASHINGTON UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2005
• 资助国家: 美国
• 起止时间: 2005-09-30 至 2016-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8522089
• 关键词: Address; Adult; Adult Children; Alzheimer' s Disease; Apolipoprotein E; Attention; Behavior; Behavioral; Biological Markers; Biological Neural Networks; Characteristics; Child; Cognitive; Cohort Studies; Complement; Computer Simulation; Cross-Sectional Studies; Diagnostic; Diffusion; Disease; Disease Marker; Disease Progression; Elderly; Family; Fingers; Functional Magnetic Resonance Imaging; Image; Individual; Instruction; Link; Longitudinal Studies; Measures; Memory; Mind; Modeling; Nature; Neurotic Disorders; Participant; Pattern; Performance; Personality; Personality Traits; Pittsburgh Compound-B; Procedures; Process; Reaction Time; Recording of previous events; Research; Research Personnel; Response Latencies; Rest; Risk; Risk Factors; Risk Marker; Role; Sampling; Speed; Staging; System; Thinking; Time Study; Weight; brain behavior; cognitive change; executive function; healthy aging; improved; middle age; pre-clinical; programs; relating to nervous system; response; Address; Adult; Adult Children; Alzheimer' s Disease; Apolipoprotein E; Attention; Behavior; Behavioral; Biological Markers; Biological Neural Networks; Characteristics; Child; Cognitive; Cohort Studies; Complement; Computer Simulation; Cross-Sectional Studies; Diagnostic; Diffusion; Disease; Disease Marker; Disease Progression; Elderly; Family; Fingers; Functional Magnetic Resonance Imaging; Image; Individual; Instruction; Link; Longitudinal Studies; Measures; Memory; Mind; Modeling; Nature; Neurotic Disorders; Participant; Pattern; Performance; Personality; Personality Traits; Pittsburgh Compound-B; Procedures; Process; Reaction Time; Recording of previous events; Research; Research Personnel; Response Latencies; Rest; Risk; Risk Factors; Risk Marker; Role; Sampling; Speed; Staging; System; Thinking; Time Study; Weight; brain behavior; cognitive change; executive function; healthy aging; improved; middle age; pre-clinical; programs; relating to nervous system; response

There is accumulating evidence of a breakdown in attentional control systems and consequent increases in reaction time (RT) variability that may reflect a prodromal stage of Alzheimer's disease (AD). Recent evidence indicates that tasks which place a high load on attentional systems are particularly useful in (a) serving as a behavioral marker in discriminating healthy aging from early stage DAT, (b) predicting later conversion in a group of healthy middle-aged/older adults, and (c) showing relationships with other biomarkers in healthy control individuals. The proposed research will continue to longitudinally follow the adult child sample, who have well-characterized risk for developing symptomatic AD, to address the following issues: First, we will examine a set of cognitive tasks that target attentional selection, executive control, and attentional control contributions to memory performance and relate these measures to the accumulating biomarkers from the other projects and cores (e.g., PIB, CSF measures, AP0E4 status, structural and resting state fMRI measures). Second, we will explore subtle characteristics of RT distributional performance utilizing ex-Gaussian analyses and the diffusion model to examine the extent to which distinct parameters are useful prodromal markers for risk for developing AD. Third, we will use both a Sustained Attention to Respond task (SART) and a simple repetitive finger tapping task as behavioral markers for momentary fluctuations in task disengagement to irrelevant thoughts (i.e., mind wandering). Fourth, we will measure the task related neural response (via fMRI) in both a Stroop and Encoding Subsequent Memory paradigm to determine if attentional and/or default mode neural networks begin to be compromised before there is disruption in cognitive performance and relate these results to the biomarkers developing in the other projects, especially the resting state fcMRI studies in Project 4. Fifth, we will examine the extent to which personality characteristics are related to the attentional control mechanisms, and modulate the brain-behavior relationships. The convergence across these aims, projects, and cores in the confining longitudinal study of the Adult Children Study cohort affords a unique opportunity to develop an understanding of the multi-faceted nature of the earliest bio-behavioral changes associated with AD.

有积极的证据表明注意力控制系统发生了分解，因此可能反映阿尔茨海默氏病前阶段（AD）的反应时间（RT）变异性增加。最近的证据表明，在注意力系统上承担高负荷的任务在（a）作为行为标记方面特别有用，以区分早期DAT的健康衰老，（b）预测一组健康的中年/老年人的后期转换，以及（c）在健康对照组中显示与其他生物标志物的关系。 The proposed research will continue to longitudinally follow the adult child sample, who have well-characterized risk for developing symptomatic AD, to address the following issues: First, we will examine a set of cognitive tasks that target attentional selection, executive control, and attentional control contributions to memory performance and relate these measures to the accumulating biomarkers from the other projects and cores (e.g., PIB, CSF measures, AP0E4 status, structural and resting state FMRI措施）。其次，我们将利用前高斯分析和扩散模型探索RT分布性能的微妙特征，以研究不同参数是开发AD风险的有用前驱标记的程度。第三，我们将同时使用持续的关注来响应任务（SART）和简单的重复手指轻拍任务，作为行为标记，以瞬间波动，以脱离与无关的思想（即思维徘徊）。 第四，我们将在stroop和编码随后的记忆范式中衡量与任务相关的神经反应（通过fMRI），以确定注意力和/或默认模式神经网络是否开始受到损害，然后在认知绩效中破坏这些结果，并将这些结果与其他项目中的生物标记相关联，尤其是在其他项目中，尤其是ersing状态fcmri研究的特征范围。注意力控制机制，并调节脑行为关系。这些目标，项目和核心之间的融合在成年儿童研究队列的纵向研究中，有一个独特的机会，可以理解与AD相关的最早生物行为变化的多方面性质。