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Predicting Real-Life Self-Control From Brain Activity Encoding the Value of Anticipated Future Outcomes
Klaus-Martin Krönke1, Max Wolff1,2, Holger Mohr1
1Faculty of Psychology, Technische Universität Dresden.
Psychological Science
|February 7, 2020
Summary
Poor self-control, leading to shortsighted decisions, is linked to reduced brain activity in the ventromedial prefrontal cortex when considering long-term outcomes. This finding connects laboratory self-control research to real-life behavior.
Area of Science:
- Neuroscience
- Psychology
- Behavioral Economics
Background:
- Deficient self-control results in shortsighted decisions with significant personal and societal costs.
- Neuroimaging studies have explored neural mechanisms of self-control, but ecological validity of lab tasks is uncertain.
Purpose of the Study:
- To enhance ecological validity of self-control assessment.
- To investigate neural mechanisms of real-life self-control using a combined lab and mobile approach.
Main Methods:
- Functional magnetic resonance imaging (fMRI) during value-based decision-making.
- Smartphone-based assessment of real-life self-control in a large community sample (N=194).
Main Results:
- Reduced modulation of neural value signals in the ventromedial prefrontal cortex (vmPFC) correlated with increased shortsighted decisions and self-control failures.
- This association was observed in both laboratory tasks and real-life conflicts.
Conclusions:
- Neural mechanisms for anticipating future consequences predict real-life self-control.
- This study bridges the gap between laboratory findings and real-world self-control behavior.
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