Literature DB >> 32727262

EEG correlates of physical effort and reward processing during reinforcement learning.

Dimitrios J Palidis1,2,3, Paul L Gribble1,2,4,5.   

Abstract

Effort-based decision making is often modeled using subjective value, a function of reward discounted by effort. We asked whether EEG event-related potential (ERP) correlates of reward processing are also modulated by physical effort. Human participants performed a task in which they were required to accurately produce target levels of muscle activation to receive rewards. Quadriceps muscle activation was recorded with electromyography (EMG) during isometric knee extension. On a given trial, the target muscle activation required either low or high effort. The effort was determined probabilistically according to a binary choice, such that the responses were associated with 20% and 80% probability of high effort. This contingency could only be learned through experience, and it reversed periodically. Binary reinforcement feedback depended on accurately producing the target muscle activity. Participants adaptively avoided effort by switching responses more frequently after choices that resulted in hard effort. Feedback after participants' choices that revealed the resulting effort requirement did not elicit modulation of the feedback-related negativity/reward positivity (FRN/RP). However, the neural response to reinforcement outcome after effort production was increased by preceding physical effort. Source decomposition revealed separable early and late positive deflections contributing to the ERP. The main effect of reward outcome, characteristic of the FRN/RP, loaded onto the earlier component, whereas the reward × effort interaction was observed only in the later positivity, which resembled the P300. Thus, retrospective effort modulates reward processing. This may explain paradoxical behavioral findings whereby rewards requiring more effort to obtain can become more powerful reinforcers.NEW & NOTEWORTHY Choices probabilistically determined the physical effort requirements for a subsequent task, and reward depended on task performance. Feedback revealing whether choices resulted in easy or hard effort did not elicit reinforcement learning signals. However, the neural responses to reinforcement were modulated by preceding effort. Thus, effort itself was not treated as loss or punishment, but it affected the responses to subsequent reinforcement outcomes. This may explain how effort can enhance the motivational effect of reward.

Entities:  

Keywords:  effort; feedback-related negativity; human; reinforcement; reward

Mesh:

Year:  2020        PMID: 32727262      PMCID: PMC7500382          DOI: 10.1152/jn.00370.2020

Source DB:  PubMed          Journal:  J Neurophysiol        ISSN: 0022-3077            Impact factor:   2.714


  93 in total

1.  "Work ethic" in pigeons: reward value is directly related to the effort or time required to obtain the reward.

Authors:  T S Clement; J R Feltus; D H Kaiser; T R Zentall
Journal:  Psychon Bull Rev       Date:  2000-03

2.  Reappraisal of filter effects on P300 voltage and latency.

Authors:  D P Holinger; S A Hill; D L Martin; S F Faux; J R Ives; D L Schomer
Journal:  J Clin Neurophysiol       Date:  2000-05       Impact factor: 2.177

Review 3.  Neurophysiology of performance monitoring and adaptive behavior.

Authors:  Markus Ullsperger; Claudia Danielmeier; Gerhard Jocham
Journal:  Physiol Rev       Date:  2014-01       Impact factor: 37.312

4.  Effort increases sensitivity to reward and loss magnitude in the human brain.

Authors:  Julen Hernandez Lallement; Katarina Kuss; Peter Trautner; Bernd Weber; Armin Falk; Klaus Fliessbach
Journal:  Soc Cogn Affect Neurosci       Date:  2012-11-30       Impact factor: 3.436

5.  A single-trial estimation of the feedback-related negativity and its relation to BOLD responses in a time-estimation task.

Authors:  Michael P I Becker; Alexander M Nitsch; Wolfgang H R Miltner; Thomas Straube
Journal:  J Neurosci       Date:  2014-02-19       Impact factor: 6.167

Review 6.  Neural origins of the P300.

Authors:  M Soltani; R T Knight
Journal:  Crit Rev Neurobiol       Date:  2000

7.  Humans Can Continuously Optimize Energetic Cost during Walking.

Authors:  Jessica C Selinger; Shawn M O'Connor; Jeremy D Wong; J Maxwell Donelan
Journal:  Curr Biol       Date:  2015-09-10       Impact factor: 10.834

8.  Task preparation processes related to reward prediction precede those related to task-difficulty expectation.

Authors:  Hanne Schevernels; Ruth M Krebs; Patrick Santens; Marty G Woldorff; C Nicolas Boehler
Journal:  Neuroimage       Date:  2013-09-21       Impact factor: 6.556

9.  Reward prediction error signals associated with a modified time estimation task.

Authors:  Clay B Holroyd; Olave E Krigolson
Journal:  Psychophysiology       Date:  2007-07-19       Impact factor: 4.016

10.  Neurons in the frontal lobe encode the value of multiple decision variables.

Authors:  Steven W Kennerley; Aspandiar F Dahmubed; Antonio H Lara; Jonathan D Wallis
Journal:  J Cogn Neurosci       Date:  2009-06       Impact factor: 3.225

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.