Literature DB >> 12764119

Error monitoring using external feedback: specific roles of the habenular complex, the reward system, and the cingulate motor area revealed by functional magnetic resonance imaging.

Markus Ullsperger1, D Yves von Cramon.   

Abstract

The dopaminergic system has been shown to be involved in the processing of rewarding stimuli, specifically of errors in reward prediction, in animal studies as well as in recent neuroimaging studies in humans. Furthermore, a specific role of dopamine in the human homolog of the rostral cingulate motor area (rCMA) was proposed in a recent model of error detection. Negative feedback as well as self-detected errors elicit a negative event-related brain potential probably generated in the rCMA. We performed two experiments using functional magnetic resonance imaging to investigate the brain activity related to negative and positive feedback in a dynamically adaptive motion prediction task. Whereas positive feedback raised hemodynamic activity in the ventral striatum (nucleus accumbens), negative feedback activated the rCMA, the inferior anterior insula, and the epithalamus (habenular complex). These data demonstrate the role of the habenular complex in the control of the human reward system, a function previously hypothesized on the basis of animal research. The rCMA reacted only to errors with negative feedback but not to errors without feedback, which ruled out an influence of response conflict or uncertainty on its role in error detection by external signals.

Entities:  

Mesh:

Year:  2003        PMID: 12764119      PMCID: PMC6741115     

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.167


  158 in total

1.  Testing the reward prediction error hypothesis with an axiomatic model.

Authors:  Robb B Rutledge; Mark Dean; Andrew Caplin; Paul W Glimcher
Journal:  J Neurosci       Date:  2010-10-06       Impact factor: 6.167

2.  Habenula volume in bipolar disorder and major depressive disorder: a high-resolution magnetic resonance imaging study.

Authors:  Jonathan B Savitz; Allison C Nugent; Wendy Bogers; Jonathan P Roiser; Earle E Bain; Alexander Neumeister; Carlos A Zarate; Husseini K Manji; Dara M Cannon; Sean Marrett; Fritz Henn; Dennis S Charney; Wayne C Drevets
Journal:  Biol Psychiatry       Date:  2010-11-20       Impact factor: 13.382

3.  Predictive value and reward in implicit classification learning.

Authors:  Judith M Lam; Tobias Wächter; Christoph Globas; Hans-Otto Karnath; Andreas R Luft
Journal:  Hum Brain Mapp       Date:  2012-03-15       Impact factor: 5.038

Review 4.  Learning from experience: event-related potential correlates of reward processing, neural adaptation, and behavioral choice.

Authors:  Matthew M Walsh; John R Anderson
Journal:  Neurosci Biobehav Rev       Date:  2012-06-07       Impact factor: 8.989

5.  Punishing an error improves learning: the influence of punishment magnitude on error-related neural activity and subsequent learning.

Authors:  Robert Hester; Kevin Murphy; Felicity L Brown; Ashley J Skilleter
Journal:  J Neurosci       Date:  2010-11-17       Impact factor: 6.167

Review 6.  Unmasking the mysteries of the habenula in pain and analgesia.

Authors:  L Shelton; L Becerra; D Borsook
Journal:  Prog Neurobiol       Date:  2012-01-14       Impact factor: 11.685

Review 7.  Common and distinct networks underlying reward valence and processing stages: a meta-analysis of functional neuroimaging studies.

Authors:  Xun Liu; Jacqueline Hairston; Madeleine Schrier; Jin Fan
Journal:  Neurosci Biobehav Rev       Date:  2010-12-24       Impact factor: 8.989

8.  The effect of memory load on cortical activity in the spatial working memory circuit.

Authors:  Hoi-Chung Leung; David Seelig; John C Gore
Journal:  Cogn Affect Behav Neurosci       Date:  2004-12       Impact factor: 3.282

9.  Functional brain and age-related changes associated with congruency in task switching.

Authors:  Teal S Eich; David Parker; Dan Liu; Hwamee Oh; Qolamreza Razlighi; Yunglin Gazes; Christian Habeck; Yaakov Stern
Journal:  Neuropsychologia       Date:  2016-08-09       Impact factor: 3.139

10.  Corticolimbic mechanisms in the control of trial and error learning.

Authors:  Phan Luu; Matthew Shane; Nikki L Pratt; Don M Tucker
Journal:  Brain Res       Date:  2008-10-14       Impact factor: 3.252

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.