Literature DB >> 19961940

Competition between learned reward and error outcome predictions in anterior cingulate cortex.

William H Alexander1, Joshua W Brown.   

Abstract

The anterior cingulate cortex (ACC) is implicated in performance monitoring and cognitive control. Non-human primate studies of ACC show prominent reward signals, but these are elusive in human studies, which instead show mainly conflict and error effects. Here we demonstrate distinct appetitive and aversive activity in human ACC. The error likelihood hypothesis suggests that ACC activity increases in proportion to the likelihood of an error, and ACC is also sensitive to the consequence magnitude of the predicted error. Previous work further showed that error likelihood effects reach a ceiling as the potential consequences of an error increase, possibly due to reductions in the average reward. We explored this issue by independently manipulating reward magnitude of task responses and error likelihood while controlling for potential error consequences in an Incentive Change Signal Task. The fMRI results ruled out a modulatory effect of expected reward on error likelihood effects in favor of a competition effect between expected reward and error likelihood. Dynamic causal modeling showed that error likelihood and expected reward signals are intrinsic to the ACC rather than received from elsewhere. These findings agree with interpretations of ACC activity as signaling both perceptions of risk and predicted reward. Copyright 2009 Elsevier Inc. All rights reserved.

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Year:  2009        PMID: 19961940      PMCID: PMC2818639          DOI: 10.1016/j.neuroimage.2009.11.065

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  42 in total

1.  Dissociable neural responses in human reward systems.

Authors:  R Elliott; K J Friston; R J Dolan
Journal:  J Neurosci       Date:  2000-08-15       Impact factor: 6.167

2.  Error-likelihood prediction in the medial frontal cortex: a critical evaluation.

Authors:  Sander Nieuwenhuis; Tanja Sophie Schweizer; Rogier B Mars; Matthew M Botvinick; Greg Hajcak
Journal:  Cereb Cortex       Date:  2006-09-06       Impact factor: 5.357

3.  Segregated and integrated coding of reward and punishment in the cingulate cortex.

Authors:  Juri Fujiwara; Philippe N Tobler; Masato Taira; Toshio Iijima; Ken-Ichiro Tsutsui
Journal:  J Neurophysiol       Date:  2009-04-01       Impact factor: 2.714

4.  Dynamic causal modelling.

Authors:  K J Friston; L Harrison; W Penny
Journal:  Neuroimage       Date:  2003-08       Impact factor: 6.556

5.  Anterior cingulate cortex, error detection, and the online monitoring of performance.

Authors:  C S Carter; T S Braver; D M Barch; M M Botvinick; D Noll; J D Cohen
Journal:  Science       Date:  1998-05-01       Impact factor: 47.728

6.  'Error' potentials in limbic cortex (anterior cingulate area 24) of monkeys during motor learning.

Authors:  H Gemba; K Sasaki; V B Brooks
Journal:  Neurosci Lett       Date:  1986-10-08       Impact factor: 3.046

Review 7.  Motor areas of the medial wall: a review of their location and functional activation.

Authors:  N Picard; P L Strick
Journal:  Cereb Cortex       Date:  1996 May-Jun       Impact factor: 5.357

8.  Motivation and cognitive control in the human prefrontal cortex.

Authors:  Frédérique Kouneiher; Sylvain Charron; Etienne Koechlin
Journal:  Nat Neurosci       Date:  2009-06-07       Impact factor: 24.884

9.  Comparing dynamic causal models.

Authors:  W D Penny; K E Stephan; A Mechelli; K J Friston
Journal:  Neuroimage       Date:  2004-07       Impact factor: 6.556

10.  Dopamine agonist increases risk taking but blunts reward-related brain activity.

Authors:  Jordi Riba; Ulrike M Krämer; Marcus Heldmann; Sylvia Richter; Thomas F Münte
Journal:  PLoS One       Date:  2008-06-25       Impact factor: 3.240

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  25 in total

1.  Ramping ensemble activity in dorsal anterior cingulate neurons during persistent commitment to a decision.

Authors:  Tommy C Blanchard; Caleb E Strait; Benjamin Y Hayden
Journal:  J Neurophysiol       Date:  2015-09-02       Impact factor: 2.714

2.  Human reversal learning under conditions of certain versus uncertain outcomes.

Authors:  Anna-Maria D'Cruz; Michael E Ragozzino; Matthew W Mosconi; Mani N Pavuluri; John A Sweeney
Journal:  Neuroimage       Date:  2011-01-28       Impact factor: 6.556

3.  Medial prefrontal cortex predicts and evaluates the timing of action outcomes.

Authors:  Sarah E Forster; Joshua W Brown
Journal:  Neuroimage       Date:  2010-11-18       Impact factor: 6.556

4.  Distributed representations of action sequences in anterior cingulate cortex: A recurrent neural network approach.

Authors:  Danesh Shahnazian; Clay B Holroyd
Journal:  Psychon Bull Rev       Date:  2018-02

5.  Neural mechanisms of risky decision making in adolescents reporting frequent alcohol and/or marijuana use.

Authors:  Eric D Claus; Sarah W Feldstein Ewing; Renee E Magnan; Erika Montanaro; Kent E Hutchison; Angela D Bryan
Journal:  Brain Imaging Behav       Date:  2018-04       Impact factor: 3.978

6.  From animal model to human brain networking: dynamic causal modeling of motivational systems.

Authors:  Tal Gonen; Roee Admon; Ilana Podlipsky; Talma Hendler
Journal:  J Neurosci       Date:  2012-05-23       Impact factor: 6.167

7.  Probabilistic Category Learning and Striatal Functional Activation in Psychosis Risk.

Authors:  Nicole R Karcher; Jessica P Y Hua; John G Kerns
Journal:  Schizophr Bull       Date:  2019-03-07       Impact factor: 9.306

Review 8.  Computational models of performance monitoring and cognitive control.

Authors:  William H Alexander; Joshua W Brown
Journal:  Top Cogn Sci       Date:  2010-10

9.  Homologous involvement of striatum and prefrontal cortex in rodent and human water maze learning.

Authors:  Daniel G Woolley; Annelies Laeremans; Ilse Gantois; Dante Mantini; Ben Vermaercke; Hans P Op de Beeck; Stephan P Swinnen; Nicole Wenderoth; Lutgarde Arckens; Rudi D'Hooge
Journal:  Proc Natl Acad Sci U S A       Date:  2013-02-04       Impact factor: 11.205

10.  Nucleus accumbens, thalamus and insula connectivity during incentive anticipation in typical adults and adolescents.

Authors:  Youngsun T Cho; Stephen Fromm; Amanda E Guyer; Allison Detloff; Daniel S Pine; Julie L Fudge; Monique Ernst
Journal:  Neuroimage       Date:  2012-10-13       Impact factor: 6.556

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