Mind, Brain and Behavior Research Center (CIMCYC), University of Granada, Granada, Spain.
Department of Experimental Psychology, Ghent University, Ghent, Belgium.
Cereb Cortex. 2019 Aug 14;29(9):3948-3960. doi: 10.1093/cercor/bhy273.
The success of humans in novel environments is partially supported by our ability to implement new task procedures via instructions. This complex skill has been associated with the activity of control-related brain areas. Current models link fronto-parietal and cingulo-opercular networks with transient and sustained modes of cognitive control, based on observations during repetitive task settings or rest. The current study extends this dual model to novel instructed tasks. We employed a mixed design and an instruction-following task to extract phasic and tonic brain signals associated with the encoding and implementation of novel verbal rules. We also performed a representation similarity analysis to capture consistency in task-set encoding within trial epochs. Our findings show that both networks are involved while following novel instructions: transiently, during the implementation of the instruction, and in a sustained fashion, across novel trials blocks. Moreover, the multivariate results showed that task representations in the cingulo-opercular network were more stable than in the fronto-parietal one. Our data extend the dual model of cognitive control to novel demanding situations, highlighting the high flexibility of control-related regions in adopting different temporal profiles.
人类在新环境中取得成功的部分原因是我们能够通过指令来执行新的任务程序。这种复杂的技能与控制相关的大脑区域的活动有关。基于在重复任务设置或休息期间的观察,当前的模型将额顶网络和扣带前回网络与认知控制的瞬变和持续模式联系起来。本研究将这一双重模型扩展到新的指令任务中。我们采用混合设计和指令跟随任务来提取与新的口头规则的编码和执行相关的相位和紧张的大脑信号。我们还进行了表示相似性分析,以捕获试验期间任务集编码的一致性。我们的研究结果表明,两个网络都参与了:在指令执行期间,在新的试验块中以持续的方式。此外,多元结果表明,扣带前回网络中的任务表示比额顶网络中的更稳定。我们的数据将认知控制的双重模型扩展到新的要求苛刻的情况,突出了控制相关区域在采用不同时间分布方面的高度灵活性。