Faculty of Psychology, Technische Universität Dresden, Germany.
Faculty of Psychology, Technische Universität Dresden, Germany; Department of Psychiatry and Psychotherapy, Technische Universität Dresden, Germany.
Neuropsychologia. 2020 Dec;149:107667. doi: 10.1016/j.neuropsychologia.2020.107667. Epub 2020 Oct 31.
Despite its significance for health and education, the neurocognitive mechanism of real-life self-control remains unclear. While recent studies focused on task-related brain activation patterns as predictors of self-control, the contribution and relevance of functional connectivity between large-scale brain networks mediating higher-order cognition is largely unknown. Using a saliency-based triple-network model of cognitive control, we tested the hypothesis that cross-network interactions among the salience network (SN), the central executive network (CEN), and the default mode network (DMN) are associated with real-life self-control. To this end, a large community sample (N = 294) underwent ecological momentary assessment of daily self-control as well as task-free fMRI to examine intrinsic inter-network organization and determine a SN-centered network interaction index (NII). Logistic multilevel regression analysis showed that higher NII scores were associated with increased real-life self-control. This suggests that the assumed role of the SN in initiating switching between the DMN and CEN is an important part of self-control.
尽管现实生活中的自我控制对健康和教育具有重要意义，但神经认知机制仍不清楚。虽然最近的研究集中于任务相关的大脑激活模式作为自我控制的预测指标，但介导高阶认知的大脑网络之间的功能连接的贡献和相关性在很大程度上仍是未知的。我们使用基于显着性的认知控制三重网络模型，测试了以下假设：显着性网络（SN）、中央执行网络（CEN）和默认模式网络（DMN）之间的跨网络相互作用与现实生活中的自我控制有关。为此，一个大型社区样本（N=294）接受了日常自我控制的生态瞬时评估以及无任务 fMRI，以检查内在的网络间组织，并确定以显着性网络为中心的网络相互作用指数（NII）。逻辑多级回归分析表明，较高的 NII 分数与现实生活中的自我控制增强有关。这表明，SN 在启动 DMN 和 CEN 之间的切换中所扮演的假定角色是自我控制的重要组成部分。
