4.5 Article

Salience network dynamics underlying successful resistance of temptation

Journal

SOCIAL COGNITIVE AND AFFECTIVE NEUROSCIENCE
Volume 12, Issue 12, Pages 1928-1939

Publisher

OXFORD UNIV PRESS
DOI: 10.1093/scan/nsx123

Keywords

salience network; dynamic functional connectivity; self-control; temptation; resting-state fMRI

Funding

  1. Berlin School of Mind and Brain
  2. Humboldt University Berlin
  3. Collaborative Research Centre 'Volition and Cognitive Control' (DFG), Technical University Dresden [SFB 940/1 2013]
  4. National Institute of Mental Health [R01MH107549]
  5. NIH [2R01EB005846, P20GM103472, R01EB020407]
  6. NSF [1539067]
  7. Office Of The Director
  8. Office of Integrative Activities [1539067] Funding Source: National Science Foundation

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Self-control and the ability to resist temptation are critical for successful completion of long-term goals. Contemporary models in cognitive neuroscience emphasize the primary role of prefrontal cognitive control networks in aligning behavior with such goals. Here, we use gaze pattern analysis and dynamic functional connectivity fMRI data to explore how individual differences in the ability to resist temptation are related to intrinsic brain dynamics of the cognitive control and salience networks. Behaviorally, individuals exhibit greater gaze distance from target location ( e.g. higher distractibility) during presentation of tempting erotic images compared with neutral images. Individuals whose intrinsic dynamic functional connectivity patterns gravitate toward configurations in which salience detection systems are less strongly coupled with visual systems resist tempting distractors more effectively. The ability to resist tempting distractors was not significantly related to intrinsic dynamics of the cognitive control network. These results suggest that susceptibility to temptation is governed in part by individual differences in salience network dynamics and provide novel evidence for involvement of brain systems outside canonical cognitive control networks in contributing to individual differences in self-control.

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