首页 | 本学科首页   官方微博 | 高级检索  
     检索      


Personalized Neural Networks Underlie Individual Differences in Ethnic Identity Exploration and Resolution
Authors:Kevin Constante  Michael I Demidenko  Edward D Huntley  Deborah Rivas-Drake  Daniel P Keating  Adriene M Beltz
Institution:University of Michigan
Abstract:This study examined how ethnic identity relates to large-scale brain networks implicated in social interactions, social cognition, self-definition, and cognitive control. Group Iterative Multiple Model Estimation (GIMME) was used to create sparse, person-specific networks among the default mode and frontoparietal resting-state networks in a diverse sample of 104 youths aged 17–21. Links between neural density (i.e., number of connections within and between these networks) and ethnic identity exploration and resolution were evaluated in the full sample. Ethnic identity resolution was positively related to frontoparietal network density, suggesting that having clarity about one’s ethnic group membership is associated with brain network organization reflecting cognitive control. These findings help fill a critical knowledge gap about the neural underpinnings of ethnic identity.
Keywords:default mode  ethnic identity  frontoparietal  GIMME  resting state
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号