Literature DB >> 35104323

Distinct Neural Signatures of Outcome Monitoring After Selection and Execution Errors.

Faisal Mushtaq1, Samuel D McDougle2, Matt P Craddock3, Darius E Parvin4, Jack Brookes1, Alexandre Schaefer5, Mark Mon-Williams1, Jordan A Taylor6, Richard B Ivry4.   

Abstract

Losing a point in tennis could result from poor shot selection or faulty stroke execution. To explore how the brain responds to these different types of errors, we examined feedback-locked EEG activity while participants completed a modified version of a standard three-armed bandit probabilistic reward task. Our task framed unrewarded outcomes as the result of either errors of selection or errors of execution. We examined whether amplitude of a medial frontal negativity (the feedback-related negativity [FRN]) was sensitive to the different forms of error attribution. Consistent with previous reports, selection errors elicited a large FRN relative to rewards, and amplitude of this signal correlated with behavioral adjustment after these errors. A different pattern was observed in response to execution errors. These outcomes produced a larger FRN, a frontocentral attenuation in activity preceding this component, and a subsequent enhanced error positivity in parietal sites. Notably, the only correlations with behavioral adjustment were with the early frontocentral attenuation and amplitude of the parietal signal; FRN differences between execution errors and rewarded trials did not correlate with subsequent changes in behavior. Our findings highlight distinct neural correlates of selection and execution error processing, providing insight into how the brain responds to the different classes of error that determine future action.
© 2022 Massachusetts Institute of Technology.

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Year:  2022        PMID: 35104323      PMCID: PMC8969121          DOI: 10.1162/jocn_a_01824

Source DB:  PubMed          Journal:  J Cogn Neurosci        ISSN: 0898-929X            Impact factor:   3.225


  60 in total

1.  FASTER: Fully Automated Statistical Thresholding for EEG artifact Rejection.

Authors:  H Nolan; R Whelan; R B Reilly
Journal:  J Neurosci Methods       Date:  2010-07-21       Impact factor: 2.390

Review 2.  Updating P300: an integrative theory of P3a and P3b.

Authors:  John Polich
Journal:  Clin Neurophysiol       Date:  2007-06-18       Impact factor: 3.708

3.  Performance monitoring in the anterior cingulate is not all error related: expectancy deviation and the representation of action-outcome associations.

Authors:  Flavio T P Oliveira; John J McDonald; David Goodman
Journal:  J Cogn Neurosci       Date:  2007-12       Impact factor: 3.225

4.  Economic decision-making compared with an equivalent motor task.

Authors:  Shih-Wei Wu; Mauricio R Delgado; Laurence T Maloney
Journal:  Proc Natl Acad Sci U S A       Date:  2009-03-30       Impact factor: 11.205

5.  Event-related brain potentials following incorrect feedback in a time-estimation task: evidence for a "generic" neural system for error detection.

Authors:  W H Miltner; C H Braun; M G Coles
Journal:  J Cogn Neurosci       Date:  1997-11       Impact factor: 3.225

6.  Does the processing of sensory and reward-prediction errors involve common neural resources? Evidence from a frontocentral negative potential modulated by movement execution errors.

Authors:  Flavie Torrecillos; Philippe Albouy; Thomas Brochier; Nicole Malfait
Journal:  J Neurosci       Date:  2014-04-02       Impact factor: 6.167

7.  Neural signatures of reward and sensory error feedback processing in motor learning.

Authors:  Dimitrios J Palidis; Joshua G A Cashaback; Paul L Gribble
Journal:  J Neurophysiol       Date:  2019-02-27       Impact factor: 2.714

8.  Theta lingua franca: a common mid-frontal substrate for action monitoring processes.

Authors:  James F Cavanagh; Laura Zambrano-Vazquez; John J B Allen
Journal:  Psychophysiology       Date:  2011-09-26       Impact factor: 4.016

9.  Changes in performance monitoring during sensorimotor adaptation.

Authors:  Joaquin A Anguera; Rachael D Seidler; William J Gehring
Journal:  J Neurophysiol       Date:  2009-07-15       Impact factor: 2.714

10.  FieldTrip: Open source software for advanced analysis of MEG, EEG, and invasive electrophysiological data.

Authors:  Robert Oostenveld; Pascal Fries; Eric Maris; Jan-Mathijs Schoffelen
Journal:  Comput Intell Neurosci       Date:  2010-12-23
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