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努力控制的整合模型。

An Integrative Model of Effortful Control.

作者信息

André Nathalie, Audiffren Michel, Baumeister Roy F

机构信息

Research Centre on Cognition and Learning, UMR CNRS 7295, University of Poitiers, Poitiers, France.

School of Psychology, University of Queensland, Brisbane, QLD, Australia.

出版信息

Front Syst Neurosci. 2019 Dec 20;13:79. doi: 10.3389/fnsys.2019.00079. eCollection 2019.

Abstract

This article presents an integrative model of effortful control, a resource-limited top-down control mechanism involved in mental tasks and physical exercises. Based on recent findings in the fields of neuroscience, social psychology and cognitive psychology, this model posits the intrinsic costs related to a weakening of the connectivity of neural networks underpinning effortful control as the main cause of mental fatigue in long and high-demanding tasks. In this framework, effort reflects three different inter-related aspects of the same construct. First, effort is a mechanism comprising a limited number of interconnected processing units that integrate information regarding the task constraints and subject's state. Second, effort is the main output of this mechanism, namely, the effort signal that modulates neuronal activity in brain regions involved in the current task to select pertinent information. Third, effort is a feeling that emerges in awareness during effortful tasks and reflects the costs associated with goal-directed behavior. Finally, the model opens new avenues for research investigating effortful control at the behavioral and neurophysiological levels.

摘要

本文提出了一个努力控制的综合模型,这是一种涉及心理任务和体育锻炼的资源有限的自上而下的控制机制。基于神经科学、社会心理学和认知心理学领域的最新研究成果,该模型认为,在长时间高要求任务中,心理疲劳的主要原因是支撑努力控制的神经网络连接性减弱所带来的内在成本。在此框架下,努力反映了同一结构的三个不同但相互关联的方面。首先,努力是一种机制,由数量有限的相互连接的处理单元组成,这些单元整合有关任务约束和主体状态的信息。其次,努力是该机制的主要输出,即努力信号,它调节参与当前任务的脑区中的神经元活动,以选择相关信息。第三,努力是在努力任务过程中出现在意识中的一种感觉,反映了与目标导向行为相关的成本。最后,该模型为在行为和神经生理学层面研究努力控制开辟了新的研究途径。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ec39/6933500/f6b20b3f2265/fnsys-13-00079-g0001.jpg

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