Poster F17, Tuesday, March 27, 8:00-10:00 am, Exhibit Hall C
Neuro-behavioral mechanisms of resilience against anxiety: An integrative brain-personality-behavior approach using structural equation modeling
Sanda Dolcos1, Matthew Moore1, Steven Culpepper1, K. Luan Phan2, Florin Dolcos1; 1University of Illinois at Urbana-Champaign, 2University of Illinois at Chicago
Clarifying individual differences that predict resilience or vulnerability to emotional dysregulation is essential for identifying etiological factors contributing to affective disturbances, and for promoting emotional well-being. Despite recent progress targeting specific brain regions and personality traits, it remains unclear whether there are common factors underlying the structural aspects of the brain and the personality traits that, in turn, protect against symptoms of emotional dysregulation. In the present study, an integrative structural equation model was developed to examine the link among 1) a latent construct representing the volumes of a system of prefrontal cortical (PFC) regions including orbital, inferior, and middle frontal cortices, 2) a latent construct of resilience personality traits including cognitive reappraisal, optimism, and positive affect, and 3) measures of trait anxiety and depression, in a sample of 85 healthy young adults (18–34 years old, 48 females). Results showed that the latent construct of PFC volumes positively predicted the latent construct of resilience, which in turn negatively predicted trait anxiety. Mediation analysis confirmed that greater latent PFC volume leads to decreased anxiety through increased latent trait resilience. Additionally, the model showed evidence for specificity, as it fit well for anxiety and did not show a significant mediation for depression. These results support the idea that there are common volumetric and personality factors that help protect against symptoms of emotional dysregulation. These findings provide strong evidence that such brain-personality-behavior approaches can provide novel insights with valuable implications for understanding the interaction of these factors in healthy and clinical groups.
Topic Area: EMOTION & SOCIAL: Emotion-cognition interactions