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Related Concept Videos

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Expected Valence Predicts Choice in a Recurrent Decision Task.

Daniel T Jäger1,2, Melanie Boltzmann3, Jens D Rollnik3

  • 1Department of Psychology, Otto-Friedrich University of Bamberg, Bamberg, Germany.

Frontiers in Neuroscience
|December 16, 2020
PubMed
Summary
This summary is machine-generated.

Expected emotions, not current feelings, guide gambling decisions. This study highlights the predictive power of anticipated emotional valence in decision-making, offering insights into affective forecasting.

Keywords:
Iowa Gambling Taskaffectanticipationdecisionexpected valencefMRIgoal-directed emotionpredecisional

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Area of Science:

  • Cognitive Neuroscience
  • Decision Science
  • Affective Computing

Background:

  • Affective decision-making research often faces methodological challenges, including imprecise emotion conceptualization and limited measurement of emotional dimensions (valence and arousal).
  • Existing evidence suggests that anticipated emotions, rather than immediate feelings, may play a crucial role in guiding choices.
  • Understanding the neural underpinnings of how affective information influences decisions is critical.

Purpose of the Study:

  • To investigate whether pre-decisional current affect or expected affect predicts recurrent gambling responses.
  • To explore the neural representation of affective information during decision-making.
  • To address methodological limitations in affective decision-making research by incorporating both valence and arousal.

Main Methods:

  • Development of a novel gambling task with systematic variations in learning experience, feedback balance, and feedback consistency.
  • Experiment 1: Prediction of gambling responses using generalized mixed-effect models with current and expected affect variables (valence and arousal).
  • Experiment 2: Neuroimaging (BOLD responses) analysis during decision anticipation, alongside subjective affect ratings, using a within-subject design.

Main Results:

  • Expected valence significantly predicted recurrent gambling decisions, suggesting a guiding function.
  • Brain activity in areas associated with valence-general processing (e.g., anterior cingulate cortex, nucleus accumbens, thalamus) was observed during the anticipation period.
  • Neural activity during anticipation appeared largely independent of specific contextual feedback factors.

Conclusions:

  • Expected valence emerges as the most robust predictor of recurrent decisions in gambling tasks.
  • Findings support the concept of a valence-general affective workspace and goal-directed emotion theories.
  • Current affect may contribute to the formation of expectations about future outcomes, influencing subsequent decisions.