Predicting Real-Life Self-Control From Brain Activity Encoding the Value of Anticipated Future Outcomes
Publikation: Beitrag in Fachzeitschrift › Forschungsartikel › Beigetragen › Begutachtung
Beitragende
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
Originalsprache | Englisch |
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Seiten (von - bis) | 268-279 |
Seitenumfang | 12 |
Fachzeitschrift | Psychological science : a journal of the American Psychological Society |
Jahrgang | 31 |
Ausgabenummer | 3 |
Publikationsstatus | Veröffentlicht - März 2020 |
Peer-Review-Status | Ja |
Externe IDs
ORCID | /0000-0002-1612-3932/work/142251082 |
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Scopus | 85079127106 |
ORCID | /0000-0001-5398-5569/work/150329447 |
Schlagworte
Schlagwörter
- Adult, Brain Mapping, Decision Making/physiology, Female, Humans, Magnetic Resonance Imaging, Male, Prefrontal Cortex/physiology, Self-Control, Smartphone, Young Adult