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奖励依赖的活力增强与θ振荡有关,且可由健康老年人中脑多巴胺能系统的完整性预测。

Reward Dependent Invigoration Relates to Theta Oscillations and Is Predicted by Dopaminergic Midbrain Integrity in Healthy Elderly.

作者信息

Steiger Tineke K, Bunzeck Nico

机构信息

Institute for Psychology, University of LuebeckLuebeck, Germany; Department of Systems Neuroscience, University Medical Center Hamburg-EppendorfHamburg, Germany.

出版信息

Front Aging Neurosci. 2017 Jan 24;9:1. doi: 10.3389/fnagi.2017.00001. eCollection 2017.

Abstract

Motivation can have invigorating effects on behavior via dopaminergic neuromodulation. While this relationship has mainly been established in theoretical models and studies in younger subjects, the impact of structural declines of the dopaminergic system during healthy aging remains unclear. To investigate this issue, we used electroencephalography (EEG) in healthy young and elderly humans in a reward-learning paradigm. Specifically, scene images were initially encoded by combining them with cues predicting monetary reward (high vs. low reward). Subsequently, recognition memory for the scenes was tested. As a main finding, we can show that response times (RTs) during encoding were faster for high reward predicting images in the young but not elderly participants. This pattern was resembled in power changes in the theta-band (4-7 Hz). Importantly, analyses of structural MRI data revealed that individual reward-related differences in the elderlies' response time could be predicted by the structural integrity of the dopaminergic substantia nigra (SN; as measured by magnetization transfer (MT)). These findings suggest a close relationship between reward-based invigoration, theta oscillations and age-dependent changes of the dopaminergic system.

摘要

动机可通过多巴胺能神经调节对行为产生振奋作用。虽然这种关系主要是在理论模型和针对年轻受试者的研究中确立的,但多巴胺能系统在健康衰老过程中的结构衰退影响仍不清楚。为了研究这个问题,我们在奖励学习范式中对健康的年轻人和老年人使用了脑电图(EEG)。具体来说,场景图像最初通过将它们与预测金钱奖励(高奖励与低奖励)的线索相结合来进行编码。随后,对场景的识别记忆进行测试。作为主要发现,我们可以表明,在编码过程中,年轻参与者中预测高奖励的图像的反应时间(RTs)更快,而老年参与者则不然。这种模式在θ波段(4 - 7赫兹)的功率变化中也有类似表现。重要的是,对结构MRI数据的分析表明,老年人反应时间中与奖励相关的个体差异可以通过多巴胺能黑质(SN;通过磁化传递(MT)测量)的结构完整性来预测。这些发现表明基于奖励的振奋、θ振荡和多巴胺能系统的年龄依赖性变化之间存在密切关系。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/13bd/5258705/f85e545d91bf/fnagi-09-00001-g0001.jpg

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