Uncovering and Surveilling Financial Deception Risk in Aging - Alzheimer's Disease Supplement

拟议补编摘要，强调与AD/ADRD的相关性 由于决策能力下降和欺骗风险增加而造成的财务损失构成了 公共卫生危机的爆发。一个数字连接的世界已经将金融欺诈转移到了网络领域。 健康的老年人和痴呆症患者（例如，老年痴呆症）可能是在特别的风险，为金融 他们必须应对互联网决策的复杂性和模糊性， 同时处理与年龄相关的认知，社会情绪和神经生物学变化 和疾病然而，在关于以下问题的研究中，这些面临高度剥削风险的人被忽视了： 网络攻击缩小这一知识差距的一个战略是， 确定金融欺骗风险分析，是为了揭示更高的风险对加速认知的影响 老年痴呆症和老年痴呆症的影响。从这个角度来看，在保护伞下， 父母补助，补充的目标是确定在父母补助队列载脂蛋白E4（APOE 4） 等位基因状态，这增加了患阿尔茨海默病的风险。该补充将进一步扩大风险监测范围 并分析了MindCrowd项目，该项目包括先前基因分型的较大成人寿命样本 对于APOE 4状态，认知表型，以及阿尔茨海默病的一级家族史， 知道的该补充将（i）确定APOE 4携带者是否对金融风险的敏感性增加 衰老中的剥削（AIM 1）;（ii）研究APOE 4对认知/社会情感之间联系的影响 功能和金融剥削风险老化（AIM 2）;（iii）确定APOE 4状态的作用， 大脑结构，大脑功能和老龄化中的金融剥削风险之间的关联（AIM 3）。这些 新颖的AD/ADRD补充目标嵌入到我们的认知/社会情感神经科学模型中， 老龄化中的财务决策和欺骗风险，并建立在来自母基金的初步数据基础上 在我们的生态有效，基于行为的研究中， APOE 4等位基因携带者的网络钓鱼实验和特定风险易感性 在我们新开发的网络钓鱼电子邮件怀疑测试（PEST）中，特别是在APOE 4携带者中， 认知功能这种补充将利用父母补助金的既定基础设施， N=280名APOE 4状态的年轻、中年和老年人的父母资助队列（研究1）; 通过管理我们的两个新的在线欺诈易感性范例（PHIT， PEST）以及MindCrowd队列中的短期社会情感/财务决策电池（N= 1，000; 20-95岁;研究2）。从这个补充的结果将允许扩展我们的综合，概念驱动 将金融剥削风险分析纳入病理性衰老的方法，有可能为现实生活中的决策提供信息- 支持性干预措施，以减少健康老龄化和阿尔茨海默病的剥削风险。

Abstract of the proposed supplement highlighting the relevance to AD/ADRD Financial loss due to reduced decision-making capacity and increased risk of deception constitutes a burgeoning public health crisis. A digitally connected world has shifted financial fraud into the online realm. Healthy older adults and those with dementia (e.g., Alzheimer’s disease) may be at particular risk for financial exploitation in an online context, as they must navigate the complexities and ambiguity of internet decision making while also dealing with cognitive, socioemotional, and neurobiological changes associated with age and the disease. These individuals at heightened exploitation risk, however, are neglected in research on cyberattacks. One strategy for closing this knowledge gap, in alignment with the parent grant’s goal of determining financial deception risk profiling, is to uncover the impact of higher risk for accelerated cognitive decline and Alzheimer’s disease on online decision making. From this perspective, under the umbrella of the parent grant, the goal of the supplement is to determine in the parent grant cohort apolipoprotein E4 (APOE4) allele status, which increases risk for Alzheimer’s disease. The supplement will further extend risk surveillance and profiling into the MindCrowd project, which comprises a larger adult lifespan sample previously genotyped for APOE4 status, cognitively phenotyped, and for whom first-degree family history of Alzheimer’s disease is known. The supplement will (i) determine whether APOE4 carriers are at increased susceptibility to financial exploitation in aging (AIM 1); (ii) investigate APOE4 impact on the link between cognitive/socioemotional functions and financial exploitation risk in aging (AIM 2); and (iii) determine the role of APOE4 status on associations between brain structure, brain function, and financial exploitation risk in aging (AIM 3). These novel AD/ADRD supplement aims are embedded in our Cognitive/Socioemotional Neuroscience Model of Financial Decision-Making and Deception Risk in Aging and build on preliminary data from the parent grant supporting high susceptibility to online deception among older adults in our ecologically valid, behavior-based field experiment (PHishing Internet Task; PHIT) and particular risk susceptibility among APOE4 allele carriers in our newly developed Phishing Email Suspicion Test (PEST); especially among APOE4 carriers with low cognitive function. This supplement will leverage the established infrastructure of the parent grant to genotype the parent grant cohort of N=280 young, middle-aged, and older adults on APOE4 status (Study 1); and uniquely broaden data collection by administering our two new online fraud susceptibility paradigms (PHIT, PEST) as well as a short socioemotional/financial decision making battery in the MindCrowd cohort (N=1,000; 20-95 years; Study 2). Results from this supplement will allow extension of our integrated, conceptually driven approach to financial exploitation risk profiling into pathological aging, with potential to inform real-life decision- supportive interventions to reduce exploitation risks in healthy aging and Alzheimer’s disease.