Predicting Real-Life Self-Control From Brain Activity Encoding the Value of Anticipated Future Outcomes
Research output: Contribution to journal › Research article › Contributed › peer-review
Contributors
Abstract
Deficient self-control leads to shortsighted decisions and incurs severe personal and societal costs. Although neuroimaging has advanced our understanding of neural mechanisms underlying self-control, the ecological validity of laboratory tasks used to assess self-control remains largely unknown. To increase ecological validity and to test a specific hypothesis about the mechanisms underlying real-life self-control, we combined functional MRI during value-based decision-making with smartphone-based assessment of real-life self-control in a large community sample (N = 194). Results showed that an increased propensity to make shortsighted decisions and commit self-control failures, both in the laboratory task as well as during real-life conflicts, was associated with a reduced modulation of neural value signals in the ventromedial prefrontal cortex in response to anticipated long-term consequences. These results constitute the first evidence that neural mechanisms mediating anticipations of future consequences not only account for self-control in laboratory tasks but also predict real-life self-control, thereby bridging the gap between laboratory research and real-life behavior.
Details
Original language | English |
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Pages (from-to) | 268-279 |
Number of pages | 12 |
Journal | Psychological science : a journal of the American Psychological Society |
Volume | 31 |
Issue number | 3 |
Publication status | Published - Mar 2020 |
Peer-reviewed | Yes |
External IDs
ORCID | /0000-0002-1612-3932/work/142251082 |
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Scopus | 85079127106 |
ORCID | /0000-0001-5398-5569/work/150329447 |
Keywords
Keywords
- Adult, Brain Mapping, Decision Making/physiology, Female, Humans, Magnetic Resonance Imaging, Male, Prefrontal Cortex/physiology, Self-Control, Smartphone, Young Adult