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YearlyF2025

202507.02 Decoded by Brain Data: Social Self (Data Science Cafe) Posted in RESEARCH

How can we empirically investigate the abstract and multifaceted concept of the social self? This study examined the characteristics of self-evaluation in the context of Japanese culture. The results revealed that self-evaluation in Japanese culture follows a domain-specific pattern, which differs from the Western tendency to evaluate oneself positively across both moral and competence domains. This different pattern may reflect distinct cognitive mechanisms during self-evaluation processing, which is associated with perceptions of acceptance and rejection. It may highlight how social relationships influence the neural processing of self-evaluation. These results demonstrate the potential of neuroimaging technology to decode different aspects of self and their relationship with social experiences.
I presented at the 6th Data Science Café workshop to demonstrate how neuroimaging data can be integrated with individual-level ratings of social acceptance and rejection to investigate the neural basis of social self (Ding).
https://gp-ds.tohoku.ac.jp/en/events/seminar/gsis-dsp-workshop-006.html

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