Attribution and Social Cognitive Neuroscience: A new approach for the “online-assessment” of causality ascriptions and their emotional consequences

• Published in: Journal of neuroscience methods Vol. 173; no. 1; pp. 13 - 19
• Main Authors: Terbeck, Sylvia, Chesterman, Paul, Fischmeister, Florian Ph.S., Leodolter, Ulrich, Bauer, Herbert
• Format: Journal Article
• Language: English
• Published: Netherlands Elsevier B.V 15.08.2008
• Subjects: Adult; Algorithms; Causality ascription; Cognitive Science - methods; Emotions - physiology; Feedback, Psychological; Female; Humans; Male; Manipulation of attribution; Moral emotions; Neurosciences - methods; Photic Stimulation; Psychological Theory; Psychomotor Performance; Random Allocation; Reaction Time - physiology; Social Cognitive Neuroscience; Social Perception; Statistics, Nonparametric; Task Performance and Analysis; Manipulation of attribution; Moral emotions; Causality ascription; Social Cognitive Neuroscience
• ISSN: 0165-0270; 1872-678X
• DOI: 10.1016/j.jneumeth.2008.05.011

Attribution theory plays a central role in understanding cognitive processes that have emotional consequences; however, there has been very limited attention to its neural basis. After reviewing classical studies in social psychology in which attribution has been experimentally manipulated we developed a new approach that allows the investigation of state attributions and emotional consequences using neuroscience methodologies. Participants responded to the Erikson Flanker Task, but, in order to maintain the participant's beliefs about the nature of the task and to produce a significant number of error responses, an adaptive algorithm tuned the available time to respond such that, dependent on the subject's current performance, the negative feedback rate was held at chance level. In order to initiate variation in attribution participants were informed that one and the same task was either easy or difficult. As a result of these two different instructions the two groups differed significantly in error attribution only on the locus of causality dimension. Additionally, attributions were found to be stable over a large number of trials, while accuracy and reaction time remained the same. Thus, the new paradigm is particularly suitable for cognitive neuroscience research that evaluates brain behaviour relationships of higher order processes in ‘simulated achievement settings’.