Find-Health-Articles.com - making medical research available to everyone
Research article summary (published 29 Nov 2007):
Free Full Text!
See links below

Cross-task individual differences in error processing: neural, electrophysiological, and genetic components.

Full Abstract

The error-related negativity (ERN) and error positivity (Pe) are electrophysiological markers of error processing thought to originate in the medial frontal cortex. Previous studies using probabilistic reinforcement showed that individuals who learn more from negative than from positive feedback (negative learners) had larger ERNs than did positive learners. These findings support the dopamine (DA) reinforcement-learning hypothesis of the ERN and associated computational models. However, it remains unclear (1) to what extent these effects generalize to tasks outside the restricted probabilistic reinforcement-learning domain and (2) whether there is a dopaminergic source of these effects. To address these issues, we tested subjects' reinforcement-learning biases behaviorally and recorded EEG during an unrelated recognition memory experiment. Initial recognition responses were speeded, but the subjects were subsequently allowed to self-correct their responses. We found that negative learners, as assessed via probabilistic learning, had larger ERNs in the recognition memory task, suggestive of a common underlying enhanced error-processing mechanism. Negative learners also had enhanced Pes when self-correcting errors than did positive learners. Moreover, the ERN and Pe components contributed independently to negative learning. We also tested for a dopaminergic genetic basis of these ERP components. We analyzed the COMT val/met polymorphism, which has been linked to frontal DA levels. The COMT genotype affected Pe (but not ERN) magnitude; met/met homozygotes showed enhanced Pes to self-corrected errors, as compared with val carriers. These results are consistent with a role for the Pe and frontal monoamines in error awareness.

 

Author information

Author/s: Frank, Michael J (MJ); D'Lauro, Christopher (C); Curran, Tim (T);

Affiliation: Department of Psychology, University of Arizona, Tucson, Arizona 85721, USA. mfrank(-atsign-)u.arizona.edu

Grants: DA022630 (Agency:NIDA NIH HHS) ; MH64812 (Agency:NIMH NIH HHS)

Journal and publication information

Publication Type: Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, Non-P.H.S.

Journal: Cognitive, affective & behavioral neuroscience (Cogn Affect Behav Neurosci), published in United States. (Language: eng)

Reference: 2007-Dec; vol 7 (issue 4) : pp 297-308

Dates: Created 2008/01/14; Completed 2008/01/24;

PMID: 18189003, status: MEDLINE (last retrieval date: 2/18/2009, IMS Date: )

Sourced from the National Library of Medicine. Abstract text and other information may be subject to copyright.

External Links for this article
(including full text providers, if available):

Click Electronic Full-text Provider Links to see options for finding the electronic full text links to this article. Note there may be a subscription or fee required for access to the full text. See our FAQ for information on finding FREE full text articles.

This article may also be located in paper journal collections available in many libraries. Use the Journal and Publication Information above to find the full article.

MeSH headings (categories)

This article was linked to the MESH Headings shown below.

Associated Chemicals: Dopamine (51-61-6) ; DNA (9007-49-2) ; Catechol O-Methyltransferase (EC 2.1.1.6)

Related articles

These are the highest related articles currently in the database:

See 100+ related articles.

Related Article Map

10/30/1999
3/26/2008
Higher Relevance Score (21)
Lower Relevance Score (15)

Legend: - FREE Full text Article. - Abstract only. - Title only. More help.

See a large map of 100+ related articles.

© Advanogy LLC 2003-2009 - All rights reserved. Terms of Use | Contact Us | Index