Ethnic Identity Profiles Among Adolescents in the ABCD Study: Associations with Resting State Functional Connectivity and Perceived Discrimination
Jancetic, T. R.; Lembo, M.; Hampson, C. L.; Smith, D. D.; Peraza, J. A.; Thompson, E.; Sanchez, M.; Gonzalez, R.; Meca, A.; Laird, A. R.
Show abstract
Ethnic identity refers to how individuals perceive and experience themselves in the context of social groups, racial background, or culture (Phinney & Ong., 2007). Ethnic identity is positively associated with psychological well-being (Rivas-Drake et al., 2014) and negatively associated with depression and anxiety (Forstmeier et al., 2021). Those with strong ethnic identity may display resiliency to the negative effects of discrimination on psychological well-being (Urzua et al., 2021). Phinneys model describes four profiles for how people put effort into, participate in, and reflect upon their ethnic identity (Phinney, 1989). Despite prior work addressing ethnic identity and psychosocial outcomes (for review, see Meca et al., 2023), few studies have considered its neurobiological underpinnings. In the current study, we identified profiles of ethnic identity among participants in The Adolescent Brain Cognitive Development Study (ABCD Study) using latent profile analysis. Next, we examined resting state functional connectivity differences across observed profiles and assessed the moderating effects of perceived discrimination. Results indicated heightened cingulo-parietal (CPAR) network connectivity among adolescents with highly diffuse ethnic identities; among moderately achieved ethnic identities, perceived discrimination moderated the association between ethnic identity and CPAR connectivity. We discuss how these findings may be related to attentional shift, error monitoring, autobiographical memory, and social judgements.
Matching journals
The top 2 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Academic Success and Mental Health: The Paradox of Frontoparietal-Default Mode Network Coupling among Children Facing Poverty 96%
- Negative Impact of Daily Screen Use on Inhibitory Control Network in Preadolescence: A Two-Year Follow-Up Study 96%
- Exploring neural correlates of behavioral and academic resilience among children in poverty 95%
Similar papers in this journal
- Neural responses to instructed positive couple interaction: An fMRI study on compliment sharing 94%
- Functional brain connectivity during social attention predicts individual differences in social skill 93%
- Corticostriatal responses to social reward are linked to trait reward sensitivity and subclinical substance use in young adults 93%
Similar papers in this journal
- Neurodevelopmental Subtypes of Functional Brain Organization in the ABCD Study Using a Rigorous Analytic Framework 96%
- Conscientiousness associated with efficiency of the salience/ventral attention network: Replication in three samples using individualized parcellation 94%
- Development of the Brain Functional Connectome Follows Puberty-Dependent Nonlinear Trajectories 94%
Similar papers in this journal
- Keeping weight off: Mindfulness-Based Stress Reduction alters amygdala functional connectivity during weight loss maintenance in a randomized control trial 93%
- Mindfulness supports emotional resilience in children during the COVID-19 Pandemic 92%
- Differentiating electrophysiological indices of internal and external performance monitoring: Relationship with perfectionism and locus of control 91%
Similar papers in this journal
- Exploring valence bias as a metric for frontoamygdalar connectivity and depressive symptoms in childhood 96%
- Volumetric development of hippocampal subfields and hippocampal white matter connectivity: Relationship with episodic memory 91%
- Associations between Infant-Mother Physiological Synchrony and 4- to 6-Month-Old Infants' Emotion Regulation 89%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.