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。人际交往的大部分基础是信任。衰老与信任缺失有关 相关的决策，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），这可能是老年人欺诈这一日益严重的公共卫生问题的根本原因。最佳信任- 相关的决策和避免剥削需要了解社会信任的能力， 合作伙伴在多次互动，但学习的作用，在确定年龄赤字的信任决策 目前尚不清楚。为了解决这一差距，该项目将（i）描述基本的认知过程和神经 在健康老龄化和具有主观认知能力的老年人中学习信任和不信任的机制 （ii）检测AD的家族史，代表"早期“临床前AD组;和 这些过程的可塑性与培训，以形成未来临床干预的基础， 老龄化的脆弱性。建议的工作在概念上嵌入在整合的变化中 老龄化社会决策（CISDA）框架。该框架描述了如何集成决策- 相关信息受到心理理论、记忆系统和社会- 随着年龄的增长，情绪处理。两个创新的信任学习范式-社会爱荷华州赌博任务（sIGT） 和佛罗里达州亚利桑那州赌博任务（FLAG）-将被用来测试CISDA的预测在三个 实验并辅以评估老年人欺诈易感性的生态有效转移任务。的 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，也包括老年人与SCD，并确定在何种程度上的社会线索， 在老年人和SCD患者中，可信度会使与信任相关的决策和学习产生偏差。此外，这 研究将使用计算建模来隔离特定的学习偏见（社会线索，损失厌恶和近因） 在CISDA框架内。目的2/研究2：使用两种新学习范式的fMRI版本来证实 改变前扣带皮层，杏仁核和杏仁核的活动，以及它们之间的相互作用，作为年龄的神经机制， 相关的学习缺陷。目的3/研究3：探索信任的潜在神经回路的可塑性- 衰老中的学习缺陷这项研究将利用实时fMRI神经反馈来训练健康的老年人， 前扣带皮层上调对增强信任相关的学习在老龄化和确认的关键 老龄化中经验依赖性社会决策的机制。该项目的跨学科方法 包括实验和情感老化，神经经济学和计算神经科学。总的来说， 这项研究将推进老龄化社会决策的基础科学， 潜在的神经回路为决策支持干预提供信息，以优化与信任相关的决策 减少对老年人的剥削。