It’s not what you expect: feedback negativity is independent of reward expectation and affective responsivity in a non-probabilistic task

• Published in: Brain informatics Vol. 4; no. 1; pp. 51 - 63
• Main Authors: Highsmith, Jonathan M., Wuensch, Karl L., Tran, Tuan, Stephenson, Alexandra J., Everhart, D. Erik
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.03.2017; Springer Nature B.V
• Subjects: Anxiety; Artificial Intelligence; Cognitive Psychology; Computation by Abstract Devices; Computer Science; Feedback; Gambling; Health Informatics; Motivation; Neurosciences; Sensitivity; Affect regulation; Cortical asymmetry; Feedback negativity; Decision making
• ISSN: 2198-4018; 2198-4026
• DOI: 10.1007/s40708-016-0050-6

ERP studies commonly utilize gambling-based reinforcement tasks to elicit feedback negativity (FN) responses. This study used a pattern learning task in order to limit gambling-related fallacious reasoning and possible affective responses to gambling, while investigating relationships between the FN components between high and low reward expectation conditions. Eighteen undergraduates completed measures of reinforcement sensitivity, trait and state affect, and psychophysiological recording. The pattern learning task elicited a FN component for both high and low win expectancy conditions, which was found to be independent of reward expectation and showed little relationship with task and personality variables. We also observed a P3 component, which showed sensitivity to outcome expectancy variation and relationships to measures of anxiety, appetitive motivation, and cortical asymmetry, although these varied by electrode location and expectancy condition. Findings suggest that the FN reflected a binary reward-related signal, with little relationship to reward expectation found in previous studies, in the absence of positive affective responses.