Department of Psychology, University of New Mexico, Albuquerque, NM, USA.
Psychon Bull Rev. 2018 Aug;25(4):1249-1268. doi: 10.3758/s13423-018-1502-1.
The AX-continuous performance task (AX-CPT) and dot pattern expectancy (DPX) are the predominant cognitive paradigms used to assess the relative utilization of proactive versus reactive cognitive control. Experimental parameters vary widely between studies and systematically between different modalities (i.e., fMRI vs. EEG) with unknown consequences for the implementation of control. This meta-analytic review systematically surveyed these bodies of literature (k = 43, 73 data points) to resolve how cue-probe delay knowledge, delay length, and trial set count modulate the preferential use of proactive versus reactive control. In healthy young adults, delay knowledge and increasing trial set count each bias participants toward greater proactive control. Further, the interaction of delay knowledge and trial set count accounts for ~40% of variability in proactive/reactive control performance. As trial count varies reliably between experimental modalities, it is critical to understand how these parameters activate distinct cognitive processes and tap into different neural mechanisms for control. Subgroup analyses revealed important distinctions from our results in healthy young adults. Healthy, slightly older adults (ages 30-45 years) performed more reactively compared to healthy young adults. In addition, participants with schizophrenia showed evidence of more proactive control as trial set count increased. In light of this meta-analytic review, we conclude that delay knowledge and trial set length are important parameters to account for in the assessment of proactive versus reactive control. More broadly, this metaregression provides strong evidence that cognitive control becomes more reactive when timing demands are not known, and that both healthy persons and persons with schizophrenia shift toward proactive control with increasing repetitions of a task set.
AX 连续性能任务 (AX-CPT) 和点模式预期 (DPX) 是评估主动与被动认知控制相对利用的主要认知范式。实验参数在研究之间以及在不同模态(即 fMRI 与 EEG)之间差异很大,对控制的实施具有未知的影响。本元分析综述系统地调查了这些文献(k=43,73 个数据点),以确定线索-探针延迟知识、延迟长度和试验集计数如何调节主动与被动控制的优先使用。在健康的年轻成年人中,延迟知识和增加的试验集计数都使参与者更倾向于主动控制。此外,延迟知识和试验集计数的相互作用解释了主动/被动控制表现中约 40%的可变性。由于试验计数在实验模态之间可靠地变化,因此了解这些参数如何激活不同的认知过程并为控制利用不同的神经机制至关重要。亚组分析显示了与我们在健康年轻成年人中结果的重要区别。健康的、年龄稍大的成年人(30-45 岁)比健康的年轻人表现出更多的被动控制。此外,随着试验集计数的增加,精神分裂症患者表现出更多主动控制的证据。鉴于这项元分析综述,我们得出结论,延迟知识和试验集长度是评估主动与被动控制时需要考虑的重要参数。更广泛地说,这项元回归提供了强有力的证据,表明当不知道时间要求时,认知控制变得更加被动,并且健康人和精神分裂症患者都随着任务集重复次数的增加而转向主动控制。