Decision Making on Continuous Scales in Aging and Alzheimers Disease

项目摘要/摘要 该项目的目标是开发一个模型，解释决策的过程 在一维和二维空间中连续分布的信息，具有响应 以连续的刻度制作的。将在决策领域收集大量全面的数据- 在知觉、长期记忆、工作记忆和算数方面，这些都将允许严格的限制 关于建模的理论假设。该模型将对所有范围的 连续任务的数据，包括准确性、正确和错误的响应时间分布 回答，它们如何随着自变量的操作而变化，以及它们在个体之间的差异 以及一群群个体。将检查模型的统计属性和观测次数 在临床和其他人群的实验中所需要的将被检查。模型和收集的数据 对决策研究来说，测试它将是一件全新的事情。 将研究四类成年人，年轻人，未受损的老年人，轻度认知障碍的成年人 损害(MCI)和患有早期阿尔茨海默病(AD)的成年人。其目的将是了解如何正常 年龄影响连续决策过程中的个体成分，以及MCI和早期AD如何 影响组件。几乎没有对AD和MCI患者进行时间建模的研究 决策过程。目前还不知道决策的组成部分是否与成人的相同 哪些人没有认知障碍，或者自变量如何影响他们的准确性和RTS，或者 建模方法可以揭示保存下来的技能，而不是仅从准确性和RT数据中区分出来。 1

Project Summary/Abstract The goal of the project is to develop a model that explains the processes by which decisions are made about information that is continuously distributed across one-dimensional and two-dimensional spaces, with responses made on continuous scales. Large comprehensive bodies of data will be collected in the domains of decision- making in perception, long-term memory, working memory, and numerosity and these will allow tight constraints on the theoretical assumptions of the modeling. The model will provide a unified explanation of the full range of data for continuous tasks, including accuracy, the distributions of response times for correct and incorrect responses, how they change with manipulations of independent variables, and how they differ among individuals and groups of individuals. Statistical properties of the model will be examined and the numbers of observations needed in experiments with clinical and other populations will be examined. The model and the data collected to test it will be completely new to decision-making research. Four populations of adults will be studied, young adults, unimpaired older adults, adults with Mild Cognitive Impairment (MCI), and adults with early Alzheimer's Disease (AD). The aim will be to understand how normal aging affects individual components of processing in continuous decision-making and how MCI and early AD affect the components. Almost no research has been conducted with AD and MCI patients modeling the time course of decision-making. It is not known if the components of decision-making are the same as those for adults who are not cognitively impaired or how independent variables affect their accuracy and RTs or whether a modeling approach can uncover preserved skills not discernible from accuracy and RT data alone. 1