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Details

Autor(en) / Beteiligte
Titel
Predicting Real-Life Self-Control From Brain Activity Encoding the Value of Anticipated Future Outcomes
Ist Teil von
  • Psychological science, 2020-03, Vol.31 (3), p.268-279
Ort / Verlag
Los Angeles, CA: SAGE Publications
Erscheinungsjahr
2020
Link zum Volltext
Quelle
MEDLINE
Beschreibungen/Notizen
  • 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.

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