Functional connectivity in a triple-network saliency model is associated with real-life self-control
Research output: Contribution to journal › Research article › Contributed › peer-review
Contributors
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.
Details
Original language | English |
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Pages (from-to) | 107667 |
Journal | Neuropsychologia |
Volume | 149 |
Publication status | Published - Dec 2020 |
Peer-reviewed | Yes |
External IDs
Scopus | 85095735482 |
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ORCID | /0000-0002-1612-3932/work/142251085 |
ORCID | /0000-0001-5398-5569/work/150329450 |
Keywords
Keywords
- Brain/diagnostic imaging, Brain Mapping, Cognition, Humans, Magnetic Resonance Imaging, Nerve Net, Neural Pathways/diagnostic imaging, Self-Control