1. Functional connectivity in a triple-network saliency model is associated with real-life self-control
- Author
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Michael N. Smolka, Gerhard Bühringer, Thomas Goschke, Yiquan Shi, Klaus-Martin Krönke, Anja Kräplin, and Max Wolff
- Subjects
Brain activation ,Ecological validity ,Cognitive Neuroscience ,media_common.quotation_subject ,Experimental and Cognitive Psychology ,050105 experimental psychology ,Self-Control ,03 medical and health sciences ,Behavioral Neuroscience ,Functional connectivity ,Cognition ,0302 clinical medicine ,Neural Pathways ,Humans ,0501 psychology and cognitive sciences ,Ecological momentary assessment ,Default mode network ,media_common ,Brain Mapping ,Mechanism (biology) ,05 social sciences ,Brain ,Self-control ,Magnetic Resonance Imaging ,Cross-network interactions ,Nerve Net ,Psychology ,Neurocognitive ,030217 neurology & neurosurgery ,Cognitive psychology - Abstract
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.
- Published
- 2020
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