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Endogenous fluctuations in the dopaminergic midbrain drive behavioral choice variability
Benjamin Chew1,2, Tobias U Hauser1,2, Marina Papoutsi3
1Max Planck University College London Centre for Computational Psychiatry and Ageing Research, London WC1B 5EH, United Kingdom; benjamin.chew.13@ucl.ac.uk t.hauser@ucl.ac.uk.
Human brain activity variability influences risky decisions. Lower prestimulus activity in the dopaminergic midbrain correlates with increased risk-taking behavior, explained by enhanced neural responses during decision-making.
Area of Science:
- Neuroscience
- Cognitive Science
- Decision Science
Background:
- Human behavior exhibits significant variability, particularly in risky decision-making, which challenges existing economic theories.
- Previous research suggests endogenous brain activity fluctuations affect low-level processes, but their impact on high-level cognition like decision-making is unclear.
Purpose of the Study:
- To investigate whether endogenous fluctuations in brain activity influence complex cognitive processes, specifically risky decision-making in humans.
- To examine the role of the dopaminergic midbrain, including the ventral tegmental area and substantia nigra, in modulating risk-taking behavior.
Main Methods:
- Utilized real-time functional magnetic resonance imaging (fMRI) to monitor blood oxygenation level-dependent (BOLD) activity.
- Measured prestimulus BOLD activity in the dopaminergic midbrain during a risky decision-making task.
- Employed computational modeling to analyze the neural mechanisms underlying risk-taking behavior.
Main Results:
- Found that lower prestimulus brain activity in the dopaminergic midbrain was associated with an increased tendency towards risky choices.
- Computational modeling revealed that heightened risk-taking is mediated by amplified phasic responses to offers within the brain's decision network.
Conclusions:
- Endogenous fluctuations in brain activity, specifically in the dopaminergic midbrain, provide a physiological basis for variability in human risky decision-making.
- This study bridges the gap between neural activity and complex behavioral variability, offering new insights into decision-making processes.
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