Literature DB >> 18380674

Learning-related changes in reward expectancy are reflected in the feedback-related negativity.

Christian Bellebaum1, Irene Daum.   

Abstract

The feedback-related negativity (FRN) has been hypothesized to be linked to reward-based learning. While many studies have shown that the FRN only occurs in response to unexpected negative outcomes, the relationship between the magnitude of negative prediction errors and FRN amplitude remains a matter of debate. The present study aimed to elucidate this relationship with a new behavioural procedure that allowed subjects to predict precise reward probabilities by learning an explicit rule. Insight into the rule did not only influence subjects' choice behaviour, but also outcome-related event-related potentials. After subjects had learned the rule, the FRN amplitude difference between non-reward and reward mirrored the magnitude of the negative prediction error, i.e. it was larger for less likely negative outcomes. Source analysis linked this effect to the anterior cingulate cortex. P300 amplitude was also modulated by outcome valence and expectancy. It was larger for positive and unexpected outcomes. It remains to be clarified, however, whether the P300 reflects a positive prediction error.

Entities:  

Mesh:

Year:  2008        PMID: 18380674     DOI: 10.1111/j.1460-9568.2008.06138.x

Source DB:  PubMed          Journal:  Eur J Neurosci        ISSN: 0953-816X            Impact factor:   3.386


  81 in total

1.  Effects of social context and predictive relevance on action outcome monitoring.

Authors:  Leonie Koban; Gilles Pourtois; Benoit Bediou; Patrik Vuilleumier
Journal:  Cogn Affect Behav Neurosci       Date:  2012-09       Impact factor: 3.282

Review 2.  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

3.  Impact of monetary incentives on cognitive performance and error monitoring following sleep deprivation.

Authors:  Shulan Hsieh; Tzu-Hsien Li; Ling-Ling Tsai
Journal:  Sleep       Date:  2010-04       Impact factor: 5.849

4.  Anxiety and outcome evaluation: the good, the bad and the ambiguous.

Authors:  Ruolei Gu; Yue Ge; Yang Jiang; Yue-jia Luo
Journal:  Biol Psychol       Date:  2010-07-07       Impact factor: 3.251

5.  Beyond valence and magnitude: a flexible evaluative coding system in the brain.

Authors:  Ruolei Gu; Zhihui Lei; Lucas Broster; Tingting Wu; Yang Jiang; Yue-Jia Luo
Journal:  Neuropsychologia       Date:  2011-10-14       Impact factor: 3.139

6.  The cerebellum is involved in reward-based reversal learning.

Authors:  Patrizia Thoma; Christian Bellebaum; Benno Koch; Michael Schwarz; Irene Daum
Journal:  Cerebellum       Date:  2008       Impact factor: 3.847

7.  The effect of learning on feedback-related potentials in adolescents with dyslexia: an EEG-ERP study.

Authors:  Dror Kraus; Tzipi Horowitz-Kraus
Journal:  PLoS One       Date:  2014-06-20       Impact factor: 3.240

8.  Temporal dynamics of reward processing revealed by magnetoencephalography.

Authors:  Nuria Doñamayor; Josep Marco-Pallarés; Marcus Heldmann; M Ariel Schoenfeld; Thomas F Münte
Journal:  Hum Brain Mapp       Date:  2011-02-08       Impact factor: 5.038

9.  Expectancy effects in feedback processing are explained primarily by time-frequency delta not theta.

Authors:  Adreanna T M Watts; Matthew D Bachman; Edward M Bernat
Journal:  Biol Psychol       Date:  2017-09-01       Impact factor: 3.251

10.  When decisions of others matter to me: an electrophysiological analysis.

Authors:  Josep Marco-Pallarés; Ulrike M Krämer; Saskia Strehl; Andrea Schröder; Thomas F Münte
Journal:  BMC Neurosci       Date:  2010-07-29       Impact factor: 3.288

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.