认知控制的瞳孔反应及脑机制*

doi:10.16719/j.cnki.1671-6981.20240101

摘要/Abstract

摘要： 瞳孔反应包括基线瞳孔大小和任务诱发瞳孔反应,基线瞳孔大小与认知控制的关系仍未确定,任务诱发瞳孔反应可以反映不同认知控制加工中认知努力的变化,且与个体的认知控制成绩正相关。瞳孔反应与蓝斑-去甲肾上腺素系统的活性相关,该系统在不同的认知控制中发挥不同的作用。后续研究可以进一步探讨瞳孔反应与认知控制个体差异的关系,利用瞳孔测量的较高时间分辨率揭示认知控制的时间动态特征,结合其他技术手段探究认知控制的脑机制。

关键词: 认知控制, 基线瞳孔大小, TEPR, LC-NE

Abstract: Cognitive control which forms the basis of goal-oriented behavior, is closely related to people's daily life, learning, and work, and is a hot topic in the fields of psychology and neuroscience. Pupillometry provides a new perspective on cognitive control. The pupillary response can be divided into two components: tonic pupil size and phasic pupil response. Tonic pupil size usually refers to baseline pupil size, and phasic pupil response corresponds to task-evoked pupillary response (TEPR). This paper summarizes the relationship between pupillary response and cognitive control, as well as the underlying brain mechanisms of pupillary response induced by cognitive processing.
Few studies have correlated baseline pupil size with cognitive control, and their results are inconsistent. Moreover, there was no definitive evidence of a linear correlation between baseline pupil size and individual differences in cognitive control. Across the domains of inhibition, switching, and updating, TEPR closely responds to changes in task demands and cognitive effort. In addition, TEPR can also effectively reflect the individual monitoring of error and conflict, as well as the subsequent cognitive control regulation. Many lines of evidence indicate that TEPR provides an effective online measurement psychophysical marker of effort changes in different cognitive control processing. TEPR is positively correlated with participants’ cognitive control task performance, and in some cases, its magnitude can predict the improvement of task performance. However, the relationship between TEPR and cognitive control task performance is influenced by task difficulty, and this correlation vanishes when the task is easy. Thus, individual differences in cognitive control lie not only in the amount but also in the efficiency of cognitive effort exerted, which can be reflected in the TEPR.
Collectively, prior research has suggested that pupil response can be used as an indirect indicator of locus coeruleus-norepinephrine (LC-NE) system activity. The combination of EEG or fMRI with pupillometry revealed that the LC-NE system may play different roles in different cognitive control subprocesses. Specifically, the LC-NE system may mainly be responsible for amplifying the gain of relevant information and suppressing irrelevant information in task switching, whereas regulating the motion response process in inhibition tasks. Thus, individual differences in cognitive control are probably related to differences in LC-NE function.
Future research could focus on the following aspects. Firstly, various pupillary indexes have been used in different studies, making it difficult to compare between studies. Thus, it is necessary to explore a more sensitive and effective pupillary activity index suitable for cognitive control research and optimize the analysis of pupil data. Secondly, the relationship between baseline pupil size and cognitive control is still unclear. A systematic study is necessary to investigate the relationships between baseline pupil size as well as the variability of baseline pupil size with cognitive control capacity, with consideration of confounding factors and nonlinear correlations. Thirdly, taking advantage of the higher temporal resolution of TEPR to reveal the temporal dynamic processing of cognitive control. Finally, other techniques (e.g., EEG, fMRI, or machine learning) can be combined with pupillometry to advance the understanding of the complex role of brain mechanisms, especially the LC-NE system in cognitive control processing.

Key words: cognitive control, baseline pupil size, TEPR, LC-NE

王志静, 李富洪. 认知控制的瞳孔反应及脑机制^*[J]. 心理科学, 2024, 47(1): 2-10.

Wang Zhijing, Li Fuhong. Pupillary Response and Brain Mechanisms of Cognitive Control[J]. Journal of Psychological Science, 2024, 47(1): 2-10.

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