当前位置: X-MOL 学术Soc. Cogn. Affect. Neurosci. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Adiposity covaries with signatures of asymmetric feedback learning during adaptive decisions.
Social Cognitive and Affective Neuroscience ( IF 4.2 ) Pub Date : 2020-06-29 , DOI: 10.1093/scan/nsaa088
Timothy Verstynen 1, 2, 3 , Kyle Dunovan 1, 3 , Catherine Walsh 4, 5 , Chieh-Hsin Kuan 4, 5 , Stephen B Manuck 4 , Peter J Gianaros 4, 5
Affiliation  

Unhealthy weight gain relates, in part, to how people make decisions based on prior experience. Here we conducted post hoc analysis on an archival data set to evaluate whether individual differences in adiposity, an anthropometric construct encompassing a spectrum of body types, from lean to obese, associate with signatures of asymmetric feedback learning during value-based decision-making. In a sample of neurologically healthy adults (N = 433), ventral striatal responses to rewards, measured using fMRI, were not directly associated with adiposity, but rather moderated its relationship with feedback-driven learning in the Iowa gambling task, tested outside the scanner. Using a biologically inspired model of basal ganglia-dependent decision processes, we found this moderating effect of reward reactivity to be explained by an asymmetrical use of feedback to drive learning; that is, with more plasticity for gains than for losses, stronger reward reactivity leads to decisions that minimize exploration for maximizing long-term outcomes. Follow-up analysis confirmed that individual differences in adiposity correlated with signatures of asymmetric use of feedback cues during learning, suggesting that reward reactivity may especially relate to adiposity, and possibly obesity risk, when gains impact future decisions more than losses.

中文翻译:

在自适应决策过程中,具有不对称反馈学习特征的肥胖协变量。

不健康的体重增加部分与人们根据先前的经验做出决定有关。在这里,我们对档案数据集进行事后分析,以评估肥胖症的个体差异(一种人体测量结构,涵盖从瘦到肥胖的一系列身体类型)是否与基于价值的决策过程中的非对称反馈学习相关。在神经学上健康的成年人的样品(Ñ = 433),使用fMRI测得的腹侧纹状体对奖励的反应与肥胖没有直接关系,但是在爱荷华州赌博任务中(在扫描仪外部进行测试)缓解了肥胖与反馈驱动学习的关系。使用基础神经节依赖性决策过程的生物学启发模型,我们发现奖励反应的这种调节作用可以通过不对称地使用反馈来推动学习来解释。就是说,对收益的可塑性大于对损失的可塑性,更强的报酬反应性会导致决策减少对最大化长期结果最大化的探索。后续分析证实,肥胖的个体差异与学习过程中反馈线索使用不对称的特征有关,这表明奖励反应可能尤其与肥胖有关,并且可能与肥胖风险有关,
更新日期:2020-06-29
down
wechat
bug