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Investigating Pain-Related Avoidance Behavior using a Robotic Arm-Reaching Paradigm
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Published on: October 3, 2020

Bringing in the negative reinforcements: the avoidance feedback-related negativity.

Michael J Crowley1, Jia Wu, Christopher A Bailey

  • 1Yale Child Study Center, Yale School of Medicine, New Haven, Connecticut 06473, USA. michael.crowley@yale.edu

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|October 16, 2009
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Summary

The feedback-related negativity (FRN) may indicate learning from avoiding negative outcomes, not just reward prediction errors. This brain signal shows when efforts to avoid bad results fail, similar to when rewards fall short.

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Area of Science:

  • Neuroscience
  • Cognitive Psychology
  • Decision Science

Background:

  • The feedback-related negativity (FRN) is an electrophysiological signal linked to reward prediction errors.
  • Behavioral motivation often relies on avoiding negative outcomes through negative reinforcement.
  • The success or failure of avoiding negative stimuli may involve similar neural mechanisms to reward processing.

Purpose of the Study:

  • To investigate if the FRN is involved in learning to avoid negative outcomes.
  • To explore the neural correlates of successful versus unsuccessful avoidance behavior.
  • To determine if FRN reflects a broader learning mechanism beyond reward prediction.

Main Methods:

  • Recorded frontocentral event-related potentials (ERPs) during an avoidance learning task.
  • Analyzed ERPs time-locked to the presentation of aversive outcomes.
  • Compared ERPs following successful and unsuccessful avoidance attempts.

Main Results:

  • A negative deflection, characteristic of the FRN, was observed when expected avoidance failed.
  • This deflection occurred at approximately 350 ms post-stimulus, followed by a slow wave.
  • The FRN-like response was present in situations of failed avoidance of negative outcomes.

Conclusions:

  • The FRN may serve as an index for a wider range of learning processes, including the avoidance of negative outcomes.
  • This suggests a unified neural basis for learning from both positive and negative feedback.
  • FRN's role in learning could extend beyond reward prediction errors to encompass aversive learning.