ADNI Psychometrics

这是R01 AG 029672的一次竞争更新，该公司将现代心理测量方法应用于 阿尔茨海默病神经成像倡议(ADNI)收集的神经心理学数据。这是竞争激烈的 更新建议分析来自ADNI和澳大利亚成像、生物标记物和生活方式的数据 老龄化(AIBL)研究使用最先进的心理测量学方法解决实质上的重要问题 阿尔茨海默病(AD)研究中的问题。这个项目在很多方面都是各领域之间的桥梁。 不经常交谈的人：现代心理测量学和认知神经科学应用于 神经退行性疾病。研究人员提出要解决AD研究中的两个重要问题： 提高在最早阶段发现临床前疾病的能力(目标1)并了解临床 AD表现的异质性相关性(目标2)。现代心理测量学的进步具有 通过将临床见解转化为定量数据来优化对这些关键问题的理解 分析方法。研究人员有将他们的工具传播到更广泛的研究中的传统 在这方面，教科文组织与国际社会建立了合作伙伴关系，并建议延续这一传统，并以传播为目标(目标3)。对下一个周期的支持 该项目的资金将确保持续的科学领导能力，将现代心理测量学和 认知神经科学。

This is a competitive renewal for R01 AG 029672, which applied modern psychometric methods to neuropsychological data collected by the Alzheimer's Disease Neuroimaging Initiative (ADNI). This competitive renewal proposes to analyze data from ADNI and from the Australian Imaging, Biomarkers, and Lifestyles of Ageing (AIBL) study using state-of-the-art psychometric approaches to address substantively important questions in Alzheimer's disease (AD) research. This project in many ways serves as a bridge between fields that do not often talk with each other: modern psychometrics and cognitive neuroscience applied to neurodegenerative conditions. The investigators propose to tackle two important problems in AD research: improving the ability to detect preclinical disease at the earliest stages (Aim 1) and understanding the clinical relevance of heterogeneity in the presentation of AD (Aim 2). Advances in modern psychometrics have the potential to optimize understanding of these critical questions by translating clinical insights into quantitative analytic approaches. The investigators have a tradition of disseminating their tools to the broader research community and propose to continue this tradition with a dissemination aim (Aim 3). Support for the next cycle of funding for this project will ensure continued scientific leadership bridging modern psychometrics and cognitive neuroscience.