Neurobehavioral Mechanisms of Resilience Against Emotional Distress: An Integrative Brain-Personality-Symptom Approach Using Structural Equation Modeling.
dc.contributor.author | Moore, Matthew | |
dc.contributor.author | Culpepper, Steven | |
dc.contributor.author | Phan, K Luan | |
dc.contributor.author | Strauman, Timothy J | |
dc.contributor.author | Dolcos, Florin | |
dc.contributor.author | Dolcos, Sanda | |
dc.date.accessioned | 2020-12-08T20:16:38Z | |
dc.date.available | 2020-12-08T20:16:38Z | |
dc.date.issued | 2018-01 | |
dc.date.updated | 2020-12-08T20:16:33Z | |
dc.description.abstract | Clarifying individual differences that predict resilience or vulnerability to emotional distress is crucial for identifying etiological factors contributing to affective disturbances, and to promoting emotional well-being. Despite recent progress identifying 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 distress. In the present study, an integrative structural equation model was developed to examine the associations among (1) a latent construct of Control, representing the volumes of a system of prefrontal cortical (PFC) regions including middle, inferior, and orbital frontal cortices; (2) a latent construct of Resilience personality traits including cognitive reappraisal, positive affectivity, and optimism; and (3) Anxiety and Depression symptoms, in a sample of 85 healthy young adults. Results showed that the latent construct of PFC volumes positively predicted the latent construct of Resilience, which in turn negatively predicted Anxiety. Mediation analysis confirmed that greater latent PFC volume is indirectly associated with lower Anxiety symptoms through greater latent trait Resilience. The model 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 distress. These findings provide strong evidence that such brain-personality-symptom approaches can provide novel insights with valuable implications for understanding the interaction of these factors in healthy and clinically diagnosed individuals. | |
dc.identifier | 00011 | |
dc.identifier.issn | 2513-9886 | |
dc.identifier.uri | ||
dc.language | eng | |
dc.publisher | Cambridge University Press (CUP) | |
dc.relation.ispartof | Personality neuroscience | |
dc.relation.isversionof | 10.1017/pen.2018.11 | |
dc.subject | affective disorders | |
dc.subject | emotion | |
dc.subject | individual differences | |
dc.subject | neuroimaging | |
dc.subject | personality | |
dc.title | Neurobehavioral Mechanisms of Resilience Against Emotional Distress: An Integrative Brain-Personality-Symptom Approach Using Structural Equation Modeling. | |
dc.type | Journal article | |
duke.contributor.orcid | Strauman, Timothy J|0000-0002-0310-4505 | |
pubs.begin-page | e8 | |
pubs.organisational-group | Trinity College of Arts & Sciences | |
pubs.organisational-group | Psychology and Neuroscience | |
pubs.organisational-group | Center for Child and Family Policy | |
pubs.organisational-group | Duke-UNC Center for Brain Imaging and Analysis | |
pubs.organisational-group | Duke Science & Society | |
pubs.organisational-group | Duke Institute for Brain Sciences | |
pubs.organisational-group | Psychiatry & Behavioral Sciences | |
pubs.organisational-group | Duke | |
pubs.organisational-group | Sanford School of Public Policy | |
pubs.organisational-group | Institutes and Centers | |
pubs.organisational-group | School of Medicine | |
pubs.organisational-group | Initiatives | |
pubs.organisational-group | Institutes and Provost's Academic Units | |
pubs.organisational-group | University Institutes and Centers | |
pubs.organisational-group | Clinical Science Departments | |
pubs.publication-status | Published | |
pubs.volume | 1 |
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