Functional connectivity in a triple-network saliency model is associated with real-life self-control

Research output: Contribution to journalResearch articleContributedpeer-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 languageEnglish
Pages (from-to)107667
JournalNeuropsychologia
Volume149
Publication statusPublished - Dec 2020
Peer-reviewedYes

External IDs

Scopus 85095735482
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