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

自发言语和认知衰退风险的健康差异：WHICAP 后代辅助研究

• 批准号: 10089378
• 负责人: ADAM M BRICKMAN
• 金额: $ 61.7万
• 依托单位: KENT STATE UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-02-01 至 2023-11-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10089378
• 关键词: African American; Aging; Alleles; Alzheimer' s Disease; Alzheimer' s disease risk; Amyloid; Amyloid deposition; Ancillary Study; Biological; Biological Markers; Brain; Cardiovascular Diseases; Cellular Phone; Cognitive; Complex Analysis; Data; Data Collection; Discrimination; Early Diagnosis; Education; Elderly; Enrollment; Ethnic Origin; Ethnic group; Exhibits; Future; Hippocampus (Brain); Hispanics; Image; Impaired cognition; Incidence; Income; Individual; Language; Magnetic Resonance Imaging; Measures; Mediator of activation protein; Medical Genetics; Methods; Minority; Minority Groups; Monitor; Multilingualism; Names; Nerve Degeneration; Neuronal Plasticity; Neuropsychological Tests; Neuropsychology; Not Hispanic or Latino; Parents; Participant; Population; Population Heterogeneity; Positron-Emission Tomography; Race; Research; Risk; Risk Factors; Sampling; Semantics; Speech; Structure; Thinness; Time; Variant; Washington; Work; apolipoprotein E-4; bilingualism; burden of illness; cognitive function; cognitive reserve; cohort; community setting; ethnic diversity; executive function; experience; genetic testing; health disparity; indexing; insight; instrument; lexical; novel marker; offspring; pre-clinical; protective effect; racial and ethnic; racial and ethnic disparities; relating to nervous system; screening; social culture; tau Proteins; white matter

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.

项目总结/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， （WHICAP）后代研究。现有认知筛查工具的局限性是导致 AD中的种族/民族差异和最近的研究表明，语音分析可能是AD的敏感标志。 认知能力下降和未来的AD新的技术进步提高了自动语音 可以在社区环境中使用智能手机进行分析， 早期检测的方法。然而，在开发这种方法方面仍然存在许多挑战，包括非常复杂的问题。 对处于危险中的个体中自发言语的生物学基础的有限理解（例如， 海马体积、淀粉样蛋白沉积、执行功能相对于语言的贡献）。 我们建议将自发言语作为正在进行的WHICAP后代研究（RF 1AG 054070， RF1AG058067）。这个大型项目正在招募临床前参与者的多样化队列（>70%少数民族） 使用医学、遗传学和神经心理学测试，具有不同程度的AD风险（N = 3000）， 结构MRI（N = 1000），以及淀粉样蛋白和tau PET成像（每种N = 150）。英语和西班牙语 发言人包括在内。自研究开始以来，已纳入一项自发言语测量， 将增加第二个简短措施。我们假设，自发的言语将反映一个组合， 生物学和社会文化的危险因素，以AD和双语将显示保护作用。 通过利用WHICAP后代研究的丰富数据收集，该应用程序将生成 大量的新见解的基本基础上的自发语音在不同的临床前样本， 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，应 队列被纵向随访，自发言语预测未来AD发病率的能力， 还可以评估一段时间内不同种族/族裔的样本。