Center for Studies of Psychological Application and School of Psychology, Key Laboratory of Mental Health and Cognitive Science of Guangdong Province, Key Laboratory of Brain, Cognition and Education Sciences of Ministry of Education, South China Normal University, Guangzhou 510631, China.
Center for Studies of Psychological Application and School of Psychology, Key Laboratory of Mental Health and Cognitive Science of Guangdong Province, Key Laboratory of Brain, Cognition and Education Sciences of Ministry of Education, South China Normal University, Guangzhou 510631, China.
Neuroimage. 2023 Aug 1;276:120206. doi: 10.1016/j.neuroimage.2023.120206. Epub 2023 May 30.
It has been shown that manipulating the proportion of congruent to incongruent trials in conflict tasks (e.g., Stroop, Simon, and flanker tasks) can vary the size of conflict effects, however, by two different mechanisms. One theory is the control learning account (the brain learns the probability of conflict and uses it to proactively adjust the control demand for future trials). The other is the irrelevant stimulus-response learning account (the brain learns the probability of irrelevant stimulus-response associations and uses it to prepare responses). Previous fMRI studies have detected the brain regions that contribute to the control-learning-modulated conflict effects, but it is less known what neural substrates underlie the conflict effects modulated by irrelevant S-R learning. We here investigated this question with a model-based fMRI study, in which the proportion of congruent to incongruent trials changed dynamically in the Simon task and the models learned the probability of irrelevant S-R associations quantitatively. Behavioral analyses showed that the unsigned prediction errors (PEs) of responses generated by the learning models correlated with reaction times irrespective of congruent and incongruent trials, indicating that large unsigned PEs associated with slow responses. The fMRI results showed that the regions of fronto-parietal and cingulo-opercular network involved in cognitive control were significantly modulated by the unsigned PEs, also irrespective of congruent and incongruent trials, indicating that large unsigned PEs associated with transiently increased activity in these regions. These results together suggest that learning of irrelevant S-R associations modulates reactive control, which demonstrates a new way to modulate cognitive control compared to the control learning account.
已经表明,在冲突任务(例如 Stroop、Simon 和 flanker 任务)中操纵一致和不一致试次的比例可以改变冲突效应的大小,但这是通过两种不同的机制。一种理论是控制学习理论(大脑学习冲突的概率,并利用它主动调整未来试次的控制需求)。另一种是无关刺激-反应学习理论(大脑学习无关刺激-反应关联的概率,并利用它来准备反应)。以前的 fMRI 研究已经检测到有助于控制学习调节冲突效应的大脑区域,但不太清楚是什么神经基质调节了由无关刺激-反应学习调节的冲突效应。我们在这里通过基于模型的 fMRI 研究来研究这个问题,在这个研究中,Simon 任务中的一致和不一致试次的比例是动态变化的,并且学习模型定量地学习了无关刺激-反应关联的概率。行为分析表明,学习模型产生的反应的无符号预测误差(PE)与反应时间相关,无论一致和不一致试次如何,这表明大的无符号 PE 与反应慢有关。fMRI 结果表明,涉及认知控制的额顶叶和扣带-顶叶网络区域的无符号 PE 显著调节,也与一致和不一致试次无关,表明大的无符号 PE 与这些区域的短暂增加的活动有关。这些结果共同表明,无关刺激-反应关联的学习调节了反应性控制,这表明与控制学习理论相比,这是一种调节认知控制的新方法。