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Published on: September 28, 2018
Self-Other Mergence in the Frontal Cortex during Cooperation and Competition
Marco K Wittmann1, Nils Kolling1, Nadira S Faber1
1Department of Experimental Psychology, University of Oxford, South Parks Road, OX1 3UD Oxford, UK.
People’s self-assessments blend with others’ performance, influencing behavior. This self-other merging is context-dependent, impacting social cognition and performance adjustments.
Area of Science:
- Cognitive Neuroscience
- Social Psychology
- Neuroeconomics
Background:
- Accurate self- and other-ability estimation is crucial for human survival and social functioning.
- Understanding the cognitive and neural mechanisms of self-other ability estimation is an ongoing research area.
Purpose of the Study:
- To investigate how individuals estimate their own and others' abilities.
- To explore the phenomenon of self-other ability estimation merging.
- To examine the neural underpinnings and contextual modulation of self-other merging.
Main Methods:
- Participants performed tasks and estimated their own and others' abilities.
- Behavioral data analyzed for self-other merging patterns.
- Functional magnetic resonance imaging (fMRI) used to identify brain regions involved.
Main Results:
- Self-ability estimates were influenced by own performance but merged with others' performance.
- Other-ability estimates reflected both self and other performance.
- Self-other merging varied based on context (cooperative vs. competitive) and performer ability.
- Perigenual anterior cingulate cortex (pACC) tracked self-performance; Dorsomedial frontal area 9 (dmPFC) tracked other-performance and integrated contextual information.
- dmPFC activity correlated with the strength of self and other representations, suggesting interdependent processing.
Conclusions:
- Self-other ability estimation is not solely based on individual performance but involves integration with others' performance.
- Contextual factors significantly modulate self-other merging, impacting subjective evaluations and objective performance adjustments.
- Neural mechanisms in pACC and dmPFC support distinct and integrated processing of self and other information, with dmPFC potentially encoding interdependent self-other representations.
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