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Feedback-related potentials in a gambling task with randomised reward.

Faisal Mushtaq1, Pablo Puente Guillen2, Richard M Wilkie1

  • 1School of Psychology, University of Leeds, Leeds, West Yorkshire, United Kingdom.

Data in Brief
|February 11, 2016
PubMed
Summary

This study investigated how previous wins influence current decision-making using event-related potentials (ERPs). Findings reveal that prior feedback significantly impacts neural activity related to outcome expectancy and response strategies in a gambling task.

Keywords:
Decision-makingEvent-related potentialsFeedback-relatedNegativityReward prediction errorReward processing

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Area of Science:

  • Neuroscience
  • Cognitive Psychology
  • Decision Science

Background:

  • Decision-making involves evaluating potential rewards and risks.
  • Outcome expectancy, the anticipation of rewards or losses, influences subsequent choices.
  • Event-related potentials (ERPs) provide a temporal measure of neural processing during cognitive tasks.

Purpose of the Study:

  • To investigate the influence of preceding feedback on neural activity related to current decision outcomes.
  • To analyze how outcome expectancy is modulated by previous feedback, decision type, and response patterns.
  • To examine the neural correlates of outcome expectancy and its relationship with the Feedback-related Negativity (FRN).

Main Methods:

  • Participants performed a gambling task with risky and safe options, receiving randomized win/loss feedback.
  • Event-related potentials (ERPs) were recorded time-locked to decision outcomes.
  • Difference wave analysis was used to isolate neural signals related to outcome expectancy, win/loss history, and response switching.

Main Results:

  • Win feedback from the previous trial influenced neural activity associated with the current outcome.
  • Outcome expectancy signals differed between expected (consecutive rewards/losses) and unexpected (alternating win/loss) outcomes.
  • Neural signals associated with outcome expectancy were modulated by decision type (risky vs. safe) and response switching.

Conclusions:

  • Prior feedback plays a crucial role in shaping current decision-making processes and outcome evaluation.
  • Neural mechanisms underlying outcome expectancy are sensitive to the history of rewards and losses.
  • The study highlights the dynamic interplay between feedback history, decision context, and neural responses during decision-making.