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Effect of genetics on reward learning and generalization of associations in aging

Effect of genetics on reward learning and generalization of associations in aging
遗传学对奖励学习和衰老关联泛化的影响
批准号:
8787983
负责人:
MARK A GLUCK
金额:
$7.52万
依托单位国家:
美国
项目类别:
财政年份:
2014
资助国家:
美国
项目状态:
已结题
起止时间:
2014-01-01 至 2016-12-31

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项目成果

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中文摘要
翻译
描述(由申请人提供):这项拟议的研究将研究年龄对基于奖励的联想学习和概括的影响,以及这些关系如何因常见的基因多态而变化。掌握新技能并应用这些经验在新情况下预测积极结果的能力在所有年龄段都是必不可少的,使人们能够做出关键的经济决定或社会判断。例如,人们经常根据市场上的输赢来选择股票,而将这些强化结果与多种经验相结合,有助于导航新的投资,如退休计划。同样,这一提议侧重于基于额纹状体的学习(即获得新的联系 反馈)和基于海马区的泛化(即上下文依赖的迁移)。这些过程在认知老化方面的研究相对较少,考虑到它们与所有年龄段的成年人的相关性,这是令人惊讶的。我们对学习和概括之间的分离的关注与老年人特别相关,因为这些过程调用不同的大脑区域,这些区域受到健康老龄化的不同影响。在这里,175名年轻人和175名老年人将完成各种学习和概括任务,这些任务已经被证实可以评估额纹状体和海马体的功能。预计老年人在学习方面表现出的与年龄相关的缺陷比泛化更严重,这进一步证明了健康老龄化对纹状体系统的影响比对海马体的影响更大(目标1)。与健康老龄化中认知功能异质性的证据相一致,我们还将表明一些老年人在学习和/或概括方面比其他人做得更好。由于基因多态可以揭示认知功能的重要个体差异,这项研究还将检查可能支持学习和概括方面的个体差异的遗传组件;值得注意的是,纹状体中含量最丰富的多巴胺运输基因(DAT1),以及在海马区表达最高的脑源性神经营养因子(BDNF)编码基因。预计DAT1的功能多态将预测额纹状体学习的个体差异,而BDNF的功能多态将预测海马区概化的个体差异(目标2.1)。最后,这项研究将通过检验最近的一项假设来检验健康的衰老是否调节了这些对认知功能的遗传影响(目标2.2),该假说认为衰老放大了遗传变异对认知的功能意义。据预测,老年人在认知方面的基因差异将比年轻人更大。认知相关基因的识别及其与年龄相关的差异有望提炼关于认知的神经生物学机制的知识,并可能有助于解释老年认知功能的异质性。了解认知衰退易感性的个体差异背后的机制,反过来可能会为旨在最大化老年认知功能的认知训练和药物治疗计划提供信息。随着世界人口中老年人数量的稳步增加,这些目标变得越来越重要。
英文摘要
DESCRIPTION (provided by applicant): This proposed study will examine the effects of aging on reward-based associative learning and generalization and how these relationships vary by common genetic polymorphisms. The ability to acquire new skills and apply those experiences to predict positive outcomes in novel situations is essential at all ages, enabling people to make critical economic decisions or social judgments. For example, people often select stocks based on wins and losses in the market, and the integration of these reinforcement outcomes over multiple experiences can help when navigating new investments, such as retirement planning. Similarly, this proposal focuses on frontostriatal-based learning (i.e., acquiring new associations from feedback) and hippocampal- based generalization (i.e., context-dependent transfer). These processes remain relatively understudied in cognitive aging, which is surprising given their relevance to adults of all ages. Our focus on the dissociation between learning and generalization is particularly relevant to older adults because these processes call on different brain regions that are differentially affected by healthy aging. Here, 175 younger and 175 older adults will complete a variety of learning and generalization tasks that have been validated to assess frontostriatal and hippocampal function. Older adults are predicted to show greater age-related deficits on learning than generalization, adding to data that healthy aging affects the striatal system more than the hippocampus (Aim 1). Consistent with evidence of heterogeneity of cognitive function in healthy aging, we will also show that some seniors do better than others during learning and/or generalization. Because genetic polymorphisms can reveal important individual differences in cognitive function, this study will also examine genetic components that may support individual differences in learning and generalization; notably, the dopamine transport gene (DAT1), which is most abundant in the striatum, and the gene coding for Brain-Derived Neurotrophic Factor (BDNF) that has highest expression in the hippocampus. It is expected that a functional polymorphism in DAT1 will predict individual differences in frontostriatal learning, whereas a functional polymorphism in BDNF will predict individual differences in hippocampal generalization (Aim 2.1). Finally, this study will examine whether healthy aging modulates these genetic effects on cognitive function, by testing a recent hypothesis that aging magnifies the functional significance of genetic variants on cognition (Aim 2.2). It is predicted that genotypic differences on cognition will be larger in older than younger adults. The identification of cognitively relevant genes, and age-related differences therein, brings promise to refine knowledge about neurobiological mechanisms of cognition and may help to explain heterogeneity of cognitive function in old age. Understanding the mechanisms underlying individual differences in vulnerability to cognitive decline may, in turn, inform cognitive training and pharmacological treatment programs aimed at maximizing cognitive functioning in old age. These goals are increasingly important as the number of older adults in the world population steadily rises.
期刊论文(5)
专著(0)
科研奖励(0)
会议论文
DOI: 10.1016/j.neurobiolaging.2017.08.026
发表时间: 2018-01
期刊: Neurobiology of aging
影响因子: 4.2
作者: [Schuck NW, Petok JR, Meeter M, Schjeide BM, Schröder J, Bertram L, Gluck MA, Li SC]
通讯作者: Li SC
Age affects reinforcement learning through dopamine-based learning imbalance and high decision noise-not through Parkinsonian mechanisms.
年龄通过基于多巴胺的学​​习不平衡和高决策噪声影响强化学习,而不是通过帕金森机制。
DOI: 10.1016/j.neurobiolaging.2018.04.006
发表时间: 2018
期刊: Neurobiology of aging
影响因子: 4.2
作者: [Sojitra,RaviB, Lerner,Itamar, Petok,JessicaR, Gluck,MarkA]
通讯作者: Gluck,MarkA
Risk and Resilience to Alzheimer’s Disease in African Americans
Determinants of Individual Differences in the Efficacy of Aerobic Exercise to Improve Brain Health and Reduce Alzheimer Disease Risk in Older African Americans
Risk Factors for Future Cognitive Decline and Alzheimer's Disease in Older African Americans
Risk Factors for Future Cognitive Decline and Alzheimer’s Disease in Older African Americans
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