Department of Psychology, University of Illinois at Urbana-Champaign, Urbana, IL 61820, USA.
Neuroimage. 2010 Apr 15;50(3):1292-302. doi: 10.1016/j.neuroimage.2009.12.061. Epub 2009 Dec 24.
A network of brain regions has been implicated in top-down attentional control, including left dorsolateral prefrontal cortex (LDLPFC) and dorsal anterior cingulate cortex (dACC). The present experiment evaluated predictions of the cascade-of-control model (Banich, 2009), which predicts that during attentionally-demanding tasks, LDLPFC imposes a top-down attentional set which precedes late-stage selection performed by dACC. Furthermore, the cascade-of-control model argues that dACC must increase its activity to compensate when top-down control by LDLPFC is poor. The present study tested these hypotheses using fMRI and dense-array ERP data collected from the same 80 participants in separate sessions. fMRI results guided ERP source modeling to characterize the time course of activity in LDLPFC and dACC. As predicted, dACC activity subsequent to LDLPFC activity distinguished congruent and incongruent conditions on the Stroop task. Furthermore, when LDLPFC activity was low, the level of dACC activity was related to performance outcome. These results demonstrate that dACC responds to attentional demand in a flexible manner that is dependent on the level of LDLPFC activity earlier in a trial. Overall, results were consistent with the temporal course of regional brain function proposed by the cascade-of-control model.
一个由大脑区域组成的网络与自上而下的注意力控制有关,包括左背外侧前额叶皮层(LDLPFC)和背侧前扣带皮层(dACC)。本实验评估了级联控制模型(Banich,2009)的预测,该模型预测在注意力要求高的任务中,LDLPFC 施加自上而下的注意力设定,该设定先于 dACC 进行后期选择。此外,级联控制模型认为,当 LDLPFC 的自上而下控制不佳时,dACC 必须增加其活动以进行补偿。本研究使用 fMRI 和来自同一 80 名参与者在不同会话中收集的密集阵列 ERP 数据来测试这些假设。fMRI 结果指导 ERP 源建模,以描述 LDLPFC 和 dACC 中的活动时间过程。如预测的那样,dACC 活动紧随 LDLPFC 活动之后,可以区分 Stroop 任务中的一致和不一致条件。此外,当 LDLPFC 活动较低时,dACC 活动的水平与绩效结果有关。这些结果表明,dACC 以依赖于试验早期 LDLPFC 活动水平的灵活方式对注意力需求做出反应。总的来说,结果与级联控制模型提出的区域脑功能的时间过程一致。