Neural and social basis of attitudinal diversity of social network members

• In Event: 1131 - Open Topics in Mathematical Sociology

Abstract

This paper examined the neural and social basis that enable people to maintain intimate social ties with diverse attitudes. First, it found that brain functional connectivity not only in the social cognition regions, the brain regions believed to be responsible for inferring other people’s intentions, emotions, attitudes from various social clues, but also in the whole brain could predict the diversity of patriarchy-related attitudes of the respondent’s social network members. The prediction was done based on the machine learning, leave-one-out cross validation (LOOCV) of connectome-based predictive modeling (CPM), by using a complete social network of older adults in one entire village (n=556) and a set of resting-state fMRI of a sub-population (n=42). Furthermore, it revealed that the people who occupied in the brokerage positions more frequently in a social network showed higher diversity even when they share the identical neural basis. These findings were successfully re-validated in a completely independent social network of another entire village (n=946) and a set of resting-state fMRI of a sub-population(n=92).

Authors

• Yoosik Youm, Yonsei University, South Korea

• Junsol Kim, Yonsei University

• Jeanyung Chey, Seoul National University

• Seyul Kwak, Seoul National University