Characterizing and modulating neurocognitive processes of learning to trust and distrust in aging

表征和调节衰老过程中学习信任和不信任的神经认知过程

• 批准号: 10365569
• 负责人: Natalie C Ebner
• 金额: $ 63.68万
• 依托单位: UNIVERSITY OF FLORIDA
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-03-01 至 2027-04-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10365569
• 关键词: Address; Adult; Affective; Age; Aging; Alzheimer' s Disease; Alzheimer' s disease pathology; Amygdaloid structure; Anterior; Arizona; Basic Science; COVID-19; Clinical; Cognition Disorders; Cognitive; Computer Models; Control Groups; Cues; Data; Decision Making; Elderly; Emotional; Family history of; Florida; Foundations; Fraud; Functional Magnetic Resonance Imaging; Future; Gambling; Goals; Health; Human; Impaired cognition; Impairment; Individual; Insula of Reil; Intervention; Investigation; Iowa; Learning; Life; Longevity; Measures; Mediating; Memory; Methodology; Mind; Neurocognitive; Neurodegenerative Disorders; Neuropsychology; Outcome; Pathway interactions; Play; Predisposition; Process; Public Health; Research; Research Project Grants; Risk; Role; Sampling; Signal Transduction; Social Interaction; Social Sciences; Societies; System; Techniques; Testing; Time; Training; Trust; Up-Regulation; Update; Volition; Weight; Work; age related; base; brain behavior; cingulate cortex; classical conditioning; cognitive process; computational neuroscience; distrust; experience; experimental study; healthy aging; improved; innovation; interdisciplinary approach; middle age; neural circuit; neural correlate; neuroeconomics; neurofeedback; neuroimaging; neuromechanism; neurotransmission; novel; phishing; pre-clinical; relating to nervous system; response; social; social integration; theories; translational potential; trustworthiness; young adult

Project Summary. Much of human interaction is based on trust. Aging has been associated with deficits in trust- related decision making, likely further exacerbated in age-associated neurodegenerative disease (Alzheimer's disease/AD), possibly underlying the dramatically growing public health problem of elder fraud. Optimal trust- related decision making and avoiding exploitation require the ability to learn about the trustworthiness of social partners across multiple interactions, but the role that learning plays in determining age deficits in trust decisions is currently unknown. To address this gap, this project will (i) characterize basic cognitive processes and neural mechanisms in learning to trust and distrust in healthy aging and in older individuals with subjective cognitive decline (SCD) and a family history of AD, representing an `early' preclinical AD group; and (ii) probe the malleability of these processes with training to form the foundation for future clinical intervention toward reducing exploitation vulnerability in aging. The proposed work is conceptually embedded in the Changes in Integration for Social Decisions in Aging (CISDA) framework. This framework describes how the integration of decision- relevant information is impacted by trajectories of change in theory of mind, memory systems, and social- emotional processing with age. Two innovative trust-learning paradigms – the Social Iowa Gambling Task (sIGT) and the FLorida-Arizona Gambling Task (FLAG) – will be leveraged to test CISDA predictions across three experiments and complimented by an ecologically valid transfer task assessing elder fraud susceptibility. The proposed research addresses three goals. Aim 1/Study 1: Confirm age deficits in learning to trust in an adult lifespan sample that also includes older individuals with SCD and determine the extent to which social cues of trustworthiness bias trust-related decisions and learning in older age and individuals with SCD. Further, this study will use computational modeling to isolate specific learning biases (social cue, loss aversion, and recency) within the CISDA framework. Aim 2/Study 2: Use fMRI versions of the two new learning paradigms to confirm altered anterior cingulate cortex, insula, and amygdala activity, and their interplay, as neural mechanisms of age- associated learning deficits. Aim 3/Study 3: Probe the malleability of the underlying neurocircuitry of trust- learning deficits in aging. This study will utilize real-time fMRI neurofeedback to train healthy older adults in anterior cingulate cortex up-regulation toward enhanced trust-related learning in aging and confirm critical mechanisms of experience-dependent social decisions in aging. This project's interdisciplinary approach encompasses experimental and affective aging, neuroeconomics, and computational neuroscience. Collectively, this research will advance the basic science of social decision making in aging and determine the malleability of underlying neurocircuitry to inform decision-supportive intervention targeted at optimizing trust-related decision making and reducing exploitation in the elderly.

项目摘要：许多人类互动都是基于信任。 相关决策，可能会在与年龄相关的神经退行性疾病（阿尔茨海默氏症）中进一步恶化 疾病/AD），这可能是老年人欺诈这一日益严重的公共卫生问题的根源。 相关决策和避免剥削需要有能力了解社会的可信度 跨多种互动的合作伙伴，但学习在确定信任决策中的年龄缺陷方面所发挥的作用 为了解决这一差距，该项目将 (i) 描述基本认知过程和神经系统的特征。 健康老龄化和具有主观认知的老年人学习信任和不信任的机制 衰退（SCD）和 AD 家族史，代表“早期”临床前 AD 组； 通过培训这些过程的可塑性为未来临床干预奠定了基础，以减少 拟议的工作在概念上嵌入了一体化的变化中。 老龄化社会决策（CISDA）框架 该框架描述了如何整合决策。 相关信息受到心智理论、记忆系统和社会变化轨迹的影响 随年龄变化的情绪处理。两种创新的信任学习范式——爱荷华州社会赌博任务（sIGT） 以及佛罗里达州-亚利桑那州赌博任务 (FLAG) – 将用于测试 CISDA 对三个方面的预测 实验并辅之以评估老年人欺诈敏感性的生态有效转移任务。 拟议的研究涉及三个目标 目标 1/研究 1：确认学习信任成年人的年龄缺陷。 寿命样本，还包括患有 SCD 的老年人，并确定社会线索的程度 老年人和患有 SCD 的人的可信度偏差与信任相关的决策和学习。 研究将使用计算模型来隔离特定的学习偏差（社交线索、损失厌恶和新近度） 目标 2/研究 2：使用两种新学习范式的功能磁共振成像版本来确认。 前扣带皮层、岛叶和杏仁核活动及其相互作用的改变，作为年龄相关的神经机制 目标 3/研究 3：探究信任的潜在神经回路的可塑性。 这项研究将利用实时功能磁共振成像神经反馈来训练健康的老年人。 前扣带皮层上调，以增强衰老过程中与信任相关的学习，并确认关键 老龄化中依赖经验的社会决策机制。该项目的跨学科方法。 共同涵盖实验和情感衰老、神经经济学和计算神经科学。 这项研究将推进老龄化社会决策的基础科学，并确定老龄化社会决策的可塑性 底层神经回路为决策支持干预提供信息，旨在优化与信任相关的决策 造成和减少对老年人的剥削。