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认知需求回避的神经系统。

Neural systems of cognitive demand avoidance.

机构信息

Department of Cognitive, Linguistic, and Psychological Sciences, Brown University, United States.

Department of Cognitive, Linguistic, and Psychological Sciences, Brown University, United States; Carney Institute for Brain Sciences, Brown University, United States.

出版信息

Neuropsychologia. 2019 Feb 4;123:41-54. doi: 10.1016/j.neuropsychologia.2018.06.016. Epub 2018 Jun 23.

DOI:10.1016/j.neuropsychologia.2018.06.016
PMID:29944865
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6317343/
Abstract

Cognitive effort is typically aversive, evident in people's tendency to avoid cognitively demanding tasks. The 'cost of control' hypothesis suggests that engagement of cognitive control systems of the brain makes a task costly and the currency of that cost is a reduction in anticipated rewards. However, prior studies have relied on binary hard versus easy task subtractions to manipulate cognitive effort and so have not tested this hypothesis in "dose-response" fashion. In a sample of 50 participants, we parametrically manipulated the level of effort during fMRI scanning by systematically increasing cognitive control demands during a demand-selection paradigm over six levels. As expected, frontoparietal control network (FPN) activity increased, and reward network activity decreased, as control demands increased across tasks. However, avoidance behavior was not attributable to the change in FPN activity, lending only partial support to the cost of control hypothesis. By contrast, we unexpectedly observed that the de-activation of a task-negative brain network corresponding to the Default Mode Network (DMN) across levels of the cognitive control manipulation predicted the change in avoidance. In summary, we find partial support for the cost of control hypothesis, while highlighting the role of task-negative brain networks in modulating effort avoidance behavior.

摘要

认知努力通常是令人不快的,这表现在人们倾向于避免认知要求高的任务。“控制成本”假说认为,大脑的认知控制系统的参与会使任务变得昂贵,而成本的货币是预期回报的减少。然而,先前的研究依赖于二元的难与易任务减法来操纵认知努力,因此没有以“剂量反应”的方式检验这一假说。在 50 名参与者的样本中,我们通过在 fMRI 扫描期间系统地增加需求选择范式中的认知控制需求,在六个水平上参数化地操纵努力水平。正如预期的那样,随着任务控制需求的增加,额顶控制网络(FPN)的活动增加,而奖励网络的活动减少。然而,回避行为不能归因于 FPN 活动的变化,这只是对控制成本假说的部分支持。相比之下,我们出人意料地观察到,在认知控制操作的各个水平上,与默认模式网络(DMN)相对应的任务负性脑网络的去激活预测了回避行为的变化。总之,我们发现控制成本假说得到了部分支持,同时强调了任务负性脑网络在调节努力回避行为中的作用。