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。人类的大部分互动都是基于信任。衰老与信任的定义有关 相关决策，可能会进一步加剧与年龄相关的神经退行性疾病（阿尔茨海默氏症 疾病/AD），可能是在动态增长的公共卫生欺诈问题的基础上。最佳信任 - 相关决策和避免剥削需要学习社会的可信度的能力 跨多个互动的伙伴，但是学习在确定年龄在信任决策中定义的作用 目前未知。为了解决这一差距，该项目将（i）表征基本的认知过程和中性 学会对健康衰老和具有主观认知老年人的信任和不信任的机制 衰落（SCD）和AD的家族史，代表了一个“早期”临床前广告集团； （ii）探测 这些过程通过培训的锻炼性构成了未来临床干预措施的基础 衰老中的剥削脆弱性。在整合的变化中，概念上提出了工作 用于衰老（CISDA）框架的社会决策。该框架描述了决策的整合方式 - 相关信息受到思维理论，记忆系统和社会理论变化的轨迹的影响 情绪处理随着年龄的增长。两个创新的信任学习范式 - 社会爱荷华州赌博任务（SIGT） 以及佛罗里达 - 阿里佐纳赌博任务（FLAG） - 将被利用以测试三个的CISDA预测 实验，并由生态有效的转移任务评估老年人欺诈易感性表示赞赏。这 拟议的研究解决了三个目标。目标1/研究1：确认年龄定义在学习对成人的信任 寿命样本还包括具有SCD的老年人，并确定社交线索的程度 可信赖的偏见与信任相关的决定和与SCD的人的学习。此外，这 研究将使用计算建模来隔离特定的学习偏见（社会提示，损失厌恶和新近度） 在CISDA框架内。目标2/研究2：使用两个新学习范式的fMRI版本确认 改变了前扣带回皮质，绝缘和杏仁核活性及其相互作用，作为年龄的神经机制 相关的学习缺陷。 AIM 3/研究3：探测信任基础神经循环的可锻造性 - 学习定义在衰老中。这项研究将利用实时fMRI神经反馈来培训健康的老年人 前扣带回皮层的上调向增强的衰老中的信任相关学习并确认关键 衰老中依赖经验的社会决策的机制。该项目的跨学科方法 包括实验性和情感衰老，神经经济学和计算神经科学。共同 这项研究将推进衰老中社会决策的基础科学，并确定 基本的神经记录，以告知针对优化与信任相关的决策的决策支持干预措施 较早地进行和减少剥削。