When receiving unfair monetary offers from another person, the most common response is punishment. Existing literature on the Ultimatum Game indicates that individuals frequently refuse unfair offers even when this results in a loss for themselves. Here, we present behavioral and neurophysiological evidence demonstrating that friendship substantially modifies this response. When the proposer was a friend rather than an unknown person, unfair offers were less frequently rejected and the medial frontal negativity (MFN) typically associated with unfair offers was reversed to positive polarity. The underlying generators were located in inferior-mesial and right inferior- and medial-lateral frontal regions (BA10 and BA11). These findings highlight the fundamental role of the anterior prefrontal cortex in interpersonal economic interaction and, particularly, present new evidence on the effects of social distance on the MFN.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6703509 | PMC |
http://dx.doi.org/10.1523/JNEUROSCI.1253-11.2011 | DOI Listing |
Behav Sci (Basel)
December 2024
Department of Medical Humanities, School of Humanities, Southeast University, Nanjing 211189, China.
Facial attractiveness, vocal attractiveness, and social interest influence two-person decision making. However, it remains unclear how these three factors jointly influence three-person bargaining. We investigated the impact of facial attractiveness, vocal attractiveness, and social interest on fairness decisions in a three-person ultimatum game and a third-party punishment dictator game.
View Article and Find Full Text PDFClin Neuropsychol
December 2024
Northwell Health, New Hyde Park, NY, USA.
As the field of neuropsychology continues expanding efforts to better recruit providers and serve individuals from diverse populations, understanding the training and practice experiences of neuropsychologists from diverse backgrounds is crucial. Given the diversity of Asian populations, the experiences of Asian neuropsychologists offer a unique opportunity to reflect on the progress made in addressing issues related to diversity, equity, and inclusion (DEI). This information will help address challenges related to education, training, and clinical practice, particularly in meeting growing demands for neuropsychological evaluations among Asian populations and addressing unique challenges.
View Article and Find Full Text PDFJ Sleep Res
December 2024
Institute of Child and Adolescent Psychiatry and Psychotherapy, Centre for Integrative Psychiatry, School of Medicine, University Medical Centre Schleswig-Holstein- Campus Kiel, Kiel, Germany.
Children and adults have been shown to benefit from sleep with regard to the consolidation of declarative memories. Especially during childhood, the generalisation of information from social and non-social contexts is important for adaptable behaviour in new situations and might show specific features in children. Here, we investigated whether adults (n = 18) and children (n = 19) differ in their generalisation of features assessed in wake and sleep conditions.
View Article and Find Full Text PDFPLoS One
December 2024
Padova Neuroscience Center, University of Padova, Padova, Italy.
An affective variant of the Stop-Signal task was used to study the interaction between emotion and response inhibition (RI) in healthy young participants. The task involved the covert presentation of emotional faces as go stimuli, as well as a manipulation of motivation and affect by inducing a negative mood through the assignment of unfair punishment. In the literature on emotion and RI, there are contrasting findings reflecting the variability in the method used to calculate the RI latency, namely the Stop-Signal Reaction Time (SSRT).
View Article and Find Full Text PDFJMIR Form Res
December 2024
Department of Mechanical and Industrial Engineering, University of Toronto, Toronto, ON, Canada.
Background: While deep learning classifiers have shown remarkable results in detecting chest X-ray (CXR) pathologies, their adoption in clinical settings is often hampered by the lack of transparency. To bridge this gap, this study introduces the neural prototype tree (NPT), an interpretable image classifier that combines the diagnostic capability of deep learning models and the interpretability of the decision tree for CXR pathology detection.
Objective: This study aimed to investigate the utility of the NPT classifier in 3 dimensions, including performance, interpretability, and fairness, and subsequently examined the complex interaction between these dimensions.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!