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人类学习到的无关性的神经计算关联

Neurocomputational correlates of learned irrelevance in humans.

作者信息

Aberg Kristoffer Carl, Kramer Emily Elizabeth, Schwartz Sophie

机构信息

Department of Neurobiology, Weizmann Institute of Science, Rehovot, Israel.

Program in Neurosciences and Mental Health, Hospital for Sick Children, Toronto, ON, Canada; Institute of Medical Sciences, University of Toronto, Toronto, ON, Canada.

出版信息

Neuroimage. 2020 Jun;213:116719. doi: 10.1016/j.neuroimage.2020.116719. Epub 2020 Mar 7.

Abstract

Inappropriate behaviors may result from acquiring maladaptive associations between irrelevant information in the environment and important events, such as reward or punishment. Pre-exposure effects are believed to prevent the expression of irrelevant associations. For example, learned irrelevance delays the expression of associations between conditioned (CS) and unconditioned (US) stimuli following their uncorrelated presentation. The neuronal substrates of pre-exposure effects in humans are largely unknown because these effects rapidly attenuate when using traditional pre-exposure paradigms. The latter are therefore incompatible with neuroimaging approaches that require many trial repetitions. Moreover, large methodological differences between animal and human research on pre-exposure effects challenge the presumption of shared neurocognitive substrates, and question the prevalent use of pre-exposure effects in animals to model symptoms of human mental disorders. To overcome these limitations, we combined a novel learned irrelevance task with model-based fMRI. We report the results of a model that describes learned irrelevance as a dynamic process, which evolves across trials and integrates the weighting between two state-action values pertaining to 'CS-no US' associations (acquired during pre-exposure) and 'CS-US' associations (acquired during subsequent conditioning). This relative weighting correlated i) positively with the learned irrelevance effect observed in the behavioral task, ii) positively with activity in the entorhinal cortex, and iii) negatively with activity in the nucleus accumbens (NAcc). Furthermore, the model updates the relative weighting of the two state-action values via two separate prediction error (PE) signals that allow the dynamic accumulation of evidence for the CS to predict the 'US' or a 'no US' outcome. One PE signal, designed to increase the relative weight of 'CS-US' associations following 'US' outcomes, correlated with activity in the NAcc, while another PE signal, designed to increase the relative weight of 'CS-no US' associations following 'no US' outcomes, correlated with activity in the basolateral amygdala. By extending previous animal observations to humans, the present study provides a novel approach to foster translational research on pre-exposure effects.

摘要

不适当行为可能源于在环境中的无关信息与重要事件(如奖励或惩罚)之间建立适应不良的关联。预暴露效应被认为可以阻止无关关联的表达。例如,习得性无关会延迟条件刺激(CS)和非条件刺激(US)在不相关呈现后的关联表达。人类预暴露效应的神经基质在很大程度上尚不清楚,因为使用传统预暴露范式时这些效应会迅速减弱。因此,后者与需要多次试验重复的神经成像方法不兼容。此外,动物和人类在预暴露效应研究上的巨大方法差异挑战了共享神经认知基质的假设,并质疑在动物中普遍使用预暴露效应来模拟人类精神障碍症状的做法。为了克服这些限制,我们将一种新颖的习得性无关任务与基于模型的功能磁共振成像相结合。我们报告了一个模型的结果,该模型将习得性无关描述为一个动态过程,它在试验中不断演变,并整合了与“CS - 无US”关联(在预暴露期间获得)和“CS - US”关联(在随后的条件作用期间获得)相关的两个状态 - 动作值之间的权重。这种相对权重与以下因素相关:i)在行为任务中观察到的习得性无关效应呈正相关,ii)与内嗅皮层的活动呈正相关,iii)与伏隔核(NAcc)的活动呈负相关。此外,该模型通过两个单独的预测误差(PE)信号更新两个状态 - 动作值的相对权重,这两个信号允许动态积累CS预测“US”或“无US”结果的证据。一个PE信号旨在在“US”结果后增加“CS - US”关联的相对权重,与NAcc的活动相关,而另一个PE信号旨在在“无US”结果后增加“CS - 无US”关联的相对权重,与基底外侧杏仁核的活动相关。通过将先前的动物观察结果扩展到人类,本研究为促进预暴露效应的转化研究提供了一种新方法。

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