Literature DB >> 17936313

Better or worse than expected? Aging, learning, and the ERN.

Ben Eppinger1, Jutta Kray, Barbara Mock, Axel Mecklinger.   

Abstract

This study examined age differences in error processing and reinforcement learning. We were interested in whether the electrophysiological correlates of error processing, the error-related negativity (ERN) and the feedback-related negativity (FRN), reflect learning-related changes in younger and older adults. To do so, we applied a probabilistic learning task in which we manipulated the validity of feedback. The results of our study showed that learning-related changes were much more pronounced (a) in a response-locked positivity for correct trials compared to the ERN and (b) in a feedback-locked positivity for positive feedback compared to the FRN. These findings provide an important extension to recent theoretical accounts [Holroyd, C. B., & Coles, M. G. H. (2002). The neural basis of human error processing: Reinforcement learning, dopamine, and the error-related negativity. Psychological Review, 109, 679-709; Nieuwenhuis, S., Ridderinkhof, K. R., Talsma, D., Coles, M. G. H., Holroyd, C. B., Kok, A., et al. (2002). A computational account of altered error processing in older age: Dopamine and the error-related negativity. Cognitive, Affective and Behavioral Neuroscience, 2, 19-36] since they suggest that positive learning signals on correct trials contribute to the reward-related variance in the response- and feedback-locked ERPs. This effect has been overlooked in previous studies that have focused on the role of errors and negative feedback for learning. Importantly, we did not find evidence for an age-related reduction of the ERN, when controlling for performance differences between age groups, which questions the view that older adults are generally impaired in error processing. Finally, we observed a substantial reduction of the FRN in the elderly, which indicates that older adults are less affected by negative feedback and rely more on positive feedback during learning. This finding points to an age-related asymmetry in the processing of feedback valence.

Entities:  

Mesh:

Year:  2007        PMID: 17936313     DOI: 10.1016/j.neuropsychologia.2007.09.001

Source DB:  PubMed          Journal:  Neuropsychologia        ISSN: 0028-3932            Impact factor:   3.139


  59 in total

1.  Brain oscillatory activity associated with task switching and feedback processing.

Authors:  Toni Cunillera; Lluís Fuentemilla; Jose Periañez; Josep Marco-Pallarès; Ulrike M Krämer; Estela Càmara; Thomas F Münte; Antoni Rodríguez-Fornells
Journal:  Cogn Affect Behav Neurosci       Date:  2012-03       Impact factor: 3.282

2.  Worse than feared? Failure induction modulates the electrophysiological signature of error monitoring during subsequent learning.

Authors:  Kerstin Unger; Jutta Kray; Axel Mecklinger
Journal:  Cogn Affect Behav Neurosci       Date:  2012-03       Impact factor: 3.282

Review 3.  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

4.  Individual differences in reward-prediction-error: extraversion and feedback-related negativity.

Authors:  Luke D Smillie; Andrew J Cooper; Alan D Pickering
Journal:  Soc Cogn Affect Neurosci       Date:  2010-09-19       Impact factor: 3.436

Review 5.  Decision making in the ageing brain: changes in affective and motivational circuits.

Authors:  Gregory R Samanez-Larkin; Brian Knutson
Journal:  Nat Rev Neurosci       Date:  2015-04-15       Impact factor: 34.870

6.  When is an error not a prediction error? An electrophysiological investigation.

Authors:  Clay B Holroyd; Olave E Krigolson; Robert Baker; Seung Lee; Jessica Gibson
Journal:  Cogn Affect Behav Neurosci       Date:  2009-03       Impact factor: 3.282

7.  Outcome expectancy and not accuracy determines posterror slowing: ERP support.

Authors:  Elena Núñez Castellar; Simone Kühn; Wim Fias; Wim Notebaert
Journal:  Cogn Affect Behav Neurosci       Date:  2010-05       Impact factor: 3.282

Review 8.  Age-related variability in decision-making: Insights from neurochemistry.

Authors:  Anne S Berry; William J Jagust; Ming Hsu
Journal:  Cogn Affect Behav Neurosci       Date:  2019-06       Impact factor: 3.282

9.  Striatal outcome processing in healthy aging.

Authors:  Karin M Cox; Howard J Aizenstein; Julie A Fiez
Journal:  Cogn Affect Behav Neurosci       Date:  2008-09       Impact factor: 3.282

10.  Frontal theta links prediction errors to behavioral adaptation in reinforcement learning.

Authors:  James F Cavanagh; Michael J Frank; Theresa J Klein; John J B Allen
Journal:  Neuroimage       Date:  2009-12-05       Impact factor: 6.556

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