Spontaneous Speech and Health Disparities in Risk of Cognitive Decline: WHICAP Offspring Ancillary Study

项目摘要/摘要 拟议的辅助研究旨在通过以下方式更好地了解阿尔茨海默病(AD)的种族/民族差异 作为华盛顿高地/因伍德哥伦比亚老龄化项目的一部分，调查自发演讲 (WHICAP)后代研究。现有认知筛查工具的局限性是已知的原因之一 阿尔茨海默病的种族/民族差异和最近的研究表明，言语分析可能是一个敏感的标志 认知功能衰退与未来的AD。新的技术进步增加了自动语音的可能性 可以在社区环境中使用智能手机进行分析，从而创建成本低廉且可扩展的 及早发现的方法。然而，在开发这种方法时仍然存在许多挑战，包括非常 对高危个体自发言语的生物学基础的了解有限(例如， 海马体体积、淀粉样蛋白沉积、执行功能与语言的贡献)。 我们建议将自发言语作为正在进行的WHICAP后代研究的一部分(RF1AG054070， RF1AG058067)。这个大型项目正在招收不同的临床前参与者(70%为少数民族)。 使用医学、遗传和神经心理测试(N=3000)，有不同程度的阿尔茨海默病风险； 结构磁共振成像(N=1000)，淀粉样蛋白和tau PET成像(N=150)。英语和西班牙语 包括扬声器。自研究开始以来，已经包括了一项衡量自发言语的指标， 第二项简短措施将被添加。我们假设，自发的演讲将反映出 生物和社会文化因素都是阿尔茨海默病的危险因素，双语将显示出保护作用。 通过利用WHICAP子孙研究的丰富数据收集，该应用程序将生成 在不同的临床前样本中，对自发言语的基本基础有了实质性的新见解，如 并确定使用语音分析作为AD风险的新生物标志物的可行性。此外，还应该 纵向跟踪队列，自发言语对AD未来发病的预测能力 随着时间的推移，也可以对种族/民族多样化的样本进行评估。

Project Summary/Abstract The proposed ancillary study looks to better understand racial/ethnic disparities in Alzheimer's disease (AD) by investigating spontaneous speech as part of the Washington Heights/Inwood Columbia Aging Project (WHICAP) Offspring Study. Limitations of existing cognitive screening instruments is a known contributor to racial/ethnic disparities in AD and recent work suggests that speech analysis may be a sensitive marker of cognitive decline and future AD. New technological advances raise the possibility that automated speech analysis could be conducted using smartphones in community settings, creating an inexpensive and scalable approach to early detection. However, many challenges remain in developing this method, including a very limited understanding of the biological underpinnings of spontaneous speech in at-risk individuals (e.g., hippocampal volume, amyloid deposition, contribution of executive function vs. language). We propose to examine spontaneous speech as part of the ongoing WHICAP Offspring Study (RF1AG054070, RF1AG058067). This large project is enrolling a diverse cohort (>70% minorities) of pre-clinical participants with varying degrees of risk for AD using medical, genetic, and neuropsychological testing (N = 3000), structural MRI (N = 1000), and amyloid and tau PET imaging (N = 150 for each). Both English and Spanish speakers are included. One measure of spontaneous speech has been included since study onset and a second brief measure would be added. We hypothesize that spontaneous speech will reflect a combination of both biological and sociocultural risk factors to AD and that bilingualism will show protective effects. By leveraging the rich data collection of the WHICAP Offspring Study, this application would generate substantial new insight into the basic underpinnings of spontaneous speech in diverse pre-clinical samples, as well as determine the feasibility of using speech analysis as a novel biomarker of AD risk. Additionally, should the cohort be followed longitudinally, the ability of spontaneous speech to predict future incidence of AD in racially/ethnically diverse samples over time could also be evaluated.